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  • Why are virtual methods considered early bound?

    - by AspOnMyNet
    One definition of binding is that it is the act of replacing function names with memory addresses. a) Thus I assume early binding means function calls are replaced with memory addresses during compilation process, while with late binding this replacement happens during runtime? b) Why are virtual methods also considered early bound (thus the target method is found at compile time, and code is created that will call this method)? As far as I know, with virtual methods the call to actual method is resolved only during runtime and not compile time?! thanx EDIT: 1) A a=new A(); a.M(); As far as I know, it is not known at compile time where on the heap (thus at which memory address ) will instance a be created during runtime. Now, with early binding the function calls are replaced with memory addresses during compilation process. But how can compiler replace function call with memory address, if it doesn’t know where on the heap will object a be created during runtime ( here I’m assuming the address of method a.M will also be at same memory location as a )? 2) v-table calls are neither early nor late bound. Instead there's an offset into a table of function pointers. The offset is fixed at compile time, but which table the function pointer is chosen from depends on the runtime type of the object (the object contains a hidden pointer to its v-table), so the final function address is found at runtime. But assuming the object of type T is created via reflection ( thus app doesn’t even know of existence of type T ), then how can at compile time exist an entry point for that type of object?

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  • How to declare a 2D array of 2D array pointers and access them?

    - by vikramtheone
    Hi Guys, How can I declare an 2D array of 2D Pointers? And later access the individual array elements of the 2D arrays. Is my approach correct? void alloc_2D(int ***memory, unsigned int rows, unsigned int cols); int main() { int i, j; int **ptr; int **array[10][10]; for(i=0;i<10;i++) { for(j=0;j<10;j++) { alloc_2D(&ptr, 10, 10); array[i][j] = ptr; } } //After I do this, how can I access the 10 individual 2D arrays? return 0; } void alloc_2D(int ***memory, unsigned int rows, unsigned int cols) { int **ptr; *memory = NULL; ptr = malloc(rows * sizeof(int*)); if(ptr == NULL) { printf("\nERROR: Memory allocation failed!"); } else { int i; for(i = 0; i< rows; i++) { ptr[i] = malloc(cols * sizeof(float)); if(ptr[i]==NULL) { printf("\nERROR: Memory allocation failed!"); } } } *memory = ptr; }

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  • Noob - Cycle through stored names and skip blanks

    - by ActiveJimBob
    NOOB trying to make my code more efficient. On scroll button push, the function 'SetName' stores a number to integer 'iName' which is index against 5 names stored in memory. If a name is not set in memeory, it skips to the next. The code works, but takes up a lot of room. Any advice appreciated. Code: #include <string.h> int iName = 0; int iNewName = 0; BYTE GetName () { return iName; } void SetName (int iNewName) { while (iName != iNewName) { switch (byNewName) { case 1: if (strlen (memory.m_nameA) == 0) new_name++; else iName = iNewName; break; case 2: if (strlen (memory.m_nameB) == 0) new_name++; else iName = iNewName; break; case 3: if (strlen (memory.m_nameC) == 0) new_name++; else iName = iNewName; break; case 4: if (strlen (memory.m_nameD) == 0) new_name++; else iName = iNewName; break; case 5: if (strlen (memory.m_nameE) == 0) new_name++; else iName = iNewName; break; default: iNewName = 1; break; } // end of case } // end of loop } // end of SetName function void main () { while(1) { if (Button_pushed) SetName(GetName+1); } // end of infinite loop } // end of main

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  • Recommendations for IPC between parent and child processes in .NET?

    - by Jeremy
    My .NET program needs to run an algorithm that makes heavy use of 3rd party libraries (32-bit), most of which are unmanaged code. I want to drive the CPU as hard as I can, so the code runs several threads in parallel to divide up the work. I find that running all these threads simultaneously results in temporary memory spikes, causing the process' virtual memory size to approach the 2 GB limit. This memory is released back pretty quickly, but occasionally if enough threads enter the wrong sections of code at once, the process crosses the "red line" and either the unmanaged code or the .NET code encounters an out of memory error. I can throttle back the number of threads but then my CPU usage is not as high as I would like. I am thinking of creating worker processes rather than worker threads to help avoid the out of memory errors, since doing so would give each thread of execution its own 2 GB of virtual address space (my box has lots of RAM). I am wondering what are the best/easiest methods to communicate the input and output between the processes in .NET? The file system is an obvious choice. I am used to shared memory, named pipes, and such from my UNIX background. Is there a Windows or .NET specific mechanism I should use?

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  • unbuffered I/O in Linux

    - by stuck
    I'm writing lots and lots of data that will not be read again for weeks - as my program runs the amount of free memory on the machine (displayed with 'free' or 'top') drops very quickly, the amount of memory my app uses does not increase - neither does the amount of memory used by other processes. This leads me to believe the memory is being consumed by the filesystems cache - since I do not intend to read this data for a long time I'm hoping to bypass the systems buffers, such that my data is written directly to disk. I dont have dreams of improving perf or being a super ninja, my hope is to give a hint to the filesystem that I'm not going to be coming back for this memory any time soon, so dont spend time optimizing for those cases. On Windows I've faced similar problems and fixed the problem using FILE_FLAG_NO_BUFFERING|FILE_FLAG_WRITE_THROUGH - the machines memory was not consumed by my app and the machine was more usable in general. I'm hoping to duplicate the improvements I've seen but on Linux. On Windows there is the restriction of writing in sector sized pieces, I'm happy with this restriction for the amount of gain I've measured. is there a similar way to do this in Linux?

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  • Reading and writing in parallel

    - by Malfist
    I want to be able to read and write a large file in parallel, or if not in parallel, at least in blocks so that I don't use up so much memory. This is my current code: // Define memory stream which will be used to hold encrypted data. MemoryStream memoryStream = new MemoryStream(); // Define cryptographic stream (always use Write mode for encryption). CryptoStream cryptoStream = new CryptoStream(memoryStream, encryptor, CryptoStreamMode.Write); //start encrypting using (BinaryReader reader = new BinaryReader(File.Open(fileIn, FileMode.Open))) { byte[] buffer = new byte[1024 * 1024]; int read = 0; do { read = reader.Read(buffer, 0, buffer.Length); cryptoStream.Write(buffer, 0, read); } while (read == buffer.Length); } // Finish encrypting. cryptoStream.FlushFinalBlock(); // Convert our encrypted data from a memory stream into a byte array. //byte[] cipherTextBytes = memoryStream.ToArray(); //write our memory stream to a file memoryStream.Position = 0; using (BinaryWriter writer = new BinaryWriter(File.Open(fileOut, FileMode.Create))) { byte[] buffer = new byte[1024 * 1024]; int read = 0; do { read = memoryStream.Read(buffer, 0, buffer.Length); writer.Write(buffer, 0, read); } while (read == buffer.Length); } // Close both streams. memoryStream.Close(); cryptoStream.Close(); As you can see, it reads the entire file into memory, encrypts it, then writes it out. If I happen to be encrypting files that are very large (2GB+) it tends not to work, or at the very least, consumes ~97% of my memory. How could I do it in a more effective manner?

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  • An increase to 3 Gig of RAM slows down Ubuntu 10.04 LTS

    - by williepabon
    I have Ubuntu 10.04 running from an external hard drive (installed on an enclosure) connected via USB port. Like a month or so ago, I increased RAM on my pc from 2 Gigs to 3 Gigs. This resulted on extremely long boot times and slow application loads. While I was understanding the nature of my problem, I posted various threads on this forum ( Questions # 188417, 188801), where I was advised to gather speed tests, and other info on my machine. I was also suggested that I might have problems with the RAM installed. Initially, I did not consider that possibility because: 1) I did a memory test with a diagnostic program from DELL (My pc is from Dell) 2) My pc works fine with Windows XP (the default OS), no problems with memory 3) My pc works fine when booting with Ubuntu 10.10 memory stick, no speed problems 4) My pc works fine when booting with Ubuntu 11.10 memory stick, no speed problems Anyway, I performed the memory tests suggested. But before doing it, and to check out any possibility of hardware issues on the hard drive, I did the following: (1) purchased a new hard drive enclosure and moved my hard drive to it, (2) purchased a new USB cable and used it to connect my hard drive/enclosure setup to a different USB port on my pc. Then, I performed speed tests with 1 Gig, 2 Gigs and 3 Gigs of RAM with my Ubuntu 10.04 OS. Ubuntu 10.04 worked well when booted with 1 Gig or 2 Gigs of RAM. When I increased to 3 Gigs, it slowed down to a crawl. I can't understand the relationship between an increase of 1 Gig and the effect it has in Ubuntu 10.04. This doesn't happen with Ubuntu 10.10 and 11.10. Unfortunately for me, Ubuntu 10.04 is my principal work operating system. So, I need a solution for this. Hardware and system information: DELL Precision 670 2 internal SATA Hard drives Audigy 2 ZS audio system Factory OS: Windows XP Professional SP3 NVidia 8400 GTS video card More info: williepabon@WP-WrkStation:~$ uname -a Linux WP-WrkStation 2.6.32-38-generic #83-Ubuntu SMP Wed Jan 4 11:13:04 UTC 2012 i686 GNU/Linux williepabon@WP-WrkStation:~$ lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 10.04.4 LTS Release: 10.04 Codename: lucid Speed test with the 3 Gigs of RAM installed: williepabon@WP-WrkStation:~$ sudo hdparm -tT /dev/sdc [sudo] password for williepabon: /dev/sdc: Timing cached reads: 84 MB in 2.00 seconds = 41.96 MB/sec Timing buffered disk reads: 4 MB in 3.81 seconds = 1.05 MB/sec This is a very slow transfer rate from a hard drive. I will really appreciate a solution or a work around for this problem. I know that that there are users that have Ubuntu 10.04 with 3 Gigs or more of RAM and they don't have this problem. Same question asked on Launchpad for reference.

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  • Understanding G1 GC Logs

    - by poonam
    The purpose of this post is to explain the meaning of GC logs generated with some tracing and diagnostic options for G1 GC. We will take a look at the output generated with PrintGCDetails which is a product flag and provides the most detailed level of information. Along with that, we will also look at the output of two diagnostic flags that get enabled with -XX:+UnlockDiagnosticVMOptions option - G1PrintRegionLivenessInfo that prints the occupancy and the amount of space used by live objects in each region at the end of the marking cycle and G1PrintHeapRegions that provides detailed information on the heap regions being allocated and reclaimed. We will be looking at the logs generated with JDK 1.7.0_04 using these options. Option -XX:+PrintGCDetails Here's a sample log of G1 collection generated with PrintGCDetails. 0.522: [GC pause (young), 0.15877971 secs] [Parallel Time: 157.1 ms] [GC Worker Start (ms): 522.1 522.2 522.2 522.2 Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] [Processed Buffers : 2 2 3 2 Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] [GC Worker Other (ms): 0.3 0.3 0.3 0.3 Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] [Clear CT: 0.1 ms] [Other: 1.5 ms] [Choose CSet: 0.0 ms] [Ref Proc: 0.3 ms] [Ref Enq: 0.0 ms] [Free CSet: 0.3 ms] [Eden: 12M(12M)->0B(10M) Survivors: 0B->2048K Heap: 13M(64M)->9739K(64M)] [Times: user=0.59 sys=0.02, real=0.16 secs] This is the typical log of an Evacuation Pause (G1 collection) in which live objects are copied from one set of regions (young OR young+old) to another set. It is a stop-the-world activity and all the application threads are stopped at a safepoint during this time. This pause is made up of several sub-tasks indicated by the indentation in the log entries. Here's is the top most line that gets printed for the Evacuation Pause. 0.522: [GC pause (young), 0.15877971 secs] This is the highest level information telling us that it is an Evacuation Pause that started at 0.522 secs from the start of the process, in which all the regions being evacuated are Young i.e. Eden and Survivor regions. This collection took 0.15877971 secs to finish. Evacuation Pauses can be mixed as well. In which case the set of regions selected include all of the young regions as well as some old regions. 1.730: [GC pause (mixed), 0.32714353 secs] Let's take a look at all the sub-tasks performed in this Evacuation Pause. [Parallel Time: 157.1 ms] Parallel Time is the total elapsed time spent by all the parallel GC worker threads. The following lines correspond to the parallel tasks performed by these worker threads in this total parallel time, which in this case is 157.1 ms. [GC Worker Start (ms): 522.1 522.2 522.2 522.2Avg: 522.2, Min: 522.1, Max: 522.2, Diff: 0.1] The first line tells us the start time of each of the worker thread in milliseconds. The start times are ordered with respect to the worker thread ids – thread 0 started at 522.1ms and thread 1 started at 522.2ms from the start of the process. The second line tells the Avg, Min, Max and Diff of the start times of all of the worker threads. [Ext Root Scanning (ms): 1.6 1.5 1.6 1.9 Avg: 1.7, Min: 1.5, Max: 1.9, Diff: 0.4] This gives us the time spent by each worker thread scanning the roots (globals, registers, thread stacks and VM data structures). Here, thread 0 took 1.6ms to perform the root scanning task and thread 1 took 1.5 ms. The second line clearly shows the Avg, Min, Max and Diff of the times spent by all the worker threads. [Update RS (ms): 38.7 38.8 50.6 37.3 Avg: 41.3, Min: 37.3, Max: 50.6, Diff: 13.3] Update RS gives us the time each thread spent in updating the Remembered Sets. Remembered Sets are the data structures that keep track of the references that point into a heap region. Mutator threads keep changing the object graph and thus the references that point into a particular region. We keep track of these changes in buffers called Update Buffers. The Update RS sub-task processes the update buffers that were not able to be processed concurrently, and updates the corresponding remembered sets of all regions. [Processed Buffers : 2 2 3 2Sum: 9, Avg: 2, Min: 2, Max: 3, Diff: 1] This tells us the number of Update Buffers (mentioned above) processed by each worker thread. [Scan RS (ms): 9.9 9.7 0.0 9.7 Avg: 7.3, Min: 0.0, Max: 9.9, Diff: 9.9] These are the times each worker thread had spent in scanning the Remembered Sets. Remembered Set of a region contains cards that correspond to the references pointing into that region. This phase scans those cards looking for the references pointing into all the regions of the collection set. [Object Copy (ms): 106.7 106.8 104.6 107.9 Avg: 106.5, Min: 104.6, Max: 107.9, Diff: 3.3] These are the times spent by each worker thread copying live objects from the regions in the Collection Set to the other regions. [Termination (ms): 0.0 0.0 0.0 0.0 Avg: 0.0, Min: 0.0, Max: 0.0, Diff: 0.0] Termination time is the time spent by the worker thread offering to terminate. But before terminating, it checks the work queues of other threads and if there are still object references in other work queues, it tries to steal object references, and if it succeeds in stealing a reference, it processes that and offers to terminate again. [Termination Attempts : 1 4 4 6 Sum: 15, Avg: 3, Min: 1, Max: 6, Diff: 5] This gives the number of times each thread has offered to terminate. [GC Worker End (ms): 679.1 679.1 679.1 679.1 Avg: 679.1, Min: 679.1, Max: 679.1, Diff: 0.1] These are the times in milliseconds at which each worker thread stopped. [GC Worker (ms): 156.9 157.0 156.9 156.9 Avg: 156.9, Min: 156.9, Max: 157.0, Diff: 0.1] These are the total lifetimes of each worker thread. [GC Worker Other (ms): 0.3 0.3 0.3 0.3Avg: 0.3, Min: 0.3, Max: 0.3, Diff: 0.0] These are the times that each worker thread spent in performing some other tasks that we have not accounted above for the total Parallel Time. [Clear CT: 0.1 ms] This is the time spent in clearing the Card Table. This task is performed in serial mode. [Other: 1.5 ms] Time spent in the some other tasks listed below. The following sub-tasks (which individually may be parallelized) are performed serially. [Choose CSet: 0.0 ms] Time spent in selecting the regions for the Collection Set. [Ref Proc: 0.3 ms] Total time spent in processing Reference objects. [Ref Enq: 0.0 ms] Time spent in enqueuing references to the ReferenceQueues. [Free CSet: 0.3 ms] Time spent in freeing the collection set data structure. [Eden: 12M(12M)->0B(13M) Survivors: 0B->2048K Heap: 14M(64M)->9739K(64M)] This line gives the details on the heap size changes with the Evacuation Pause. This shows that Eden had the occupancy of 12M and its capacity was also 12M before the collection. After the collection, its occupancy got reduced to 0 since everything is evacuated/promoted from Eden during a collection, and its target size grew to 13M. The new Eden capacity of 13M is not reserved at this point. This value is the target size of the Eden. Regions are added to Eden as the demand is made and when the added regions reach to the target size, we start the next collection. Similarly, Survivors had the occupancy of 0 bytes and it grew to 2048K after the collection. The total heap occupancy and capacity was 14M and 64M receptively before the collection and it became 9739K and 64M after the collection. Apart from the evacuation pauses, G1 also performs concurrent-marking to build the live data information of regions. 1.416: [GC pause (young) (initial-mark), 0.62417980 secs] ….... 2.042: [GC concurrent-root-region-scan-start] 2.067: [GC concurrent-root-region-scan-end, 0.0251507] 2.068: [GC concurrent-mark-start] 3.198: [GC concurrent-mark-reset-for-overflow] 4.053: [GC concurrent-mark-end, 1.9849672 sec] 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] [Times: user=0.00 sys=0.00, real=0.00 secs] 4.090: [GC concurrent-cleanup-start] 4.091: [GC concurrent-cleanup-end, 0.0002721] The first phase of a marking cycle is Initial Marking where all the objects directly reachable from the roots are marked and this phase is piggy-backed on a fully young Evacuation Pause. 2.042: [GC concurrent-root-region-scan-start] This marks the start of a concurrent phase that scans the set of root-regions which are directly reachable from the survivors of the initial marking phase. 2.067: [GC concurrent-root-region-scan-end, 0.0251507] End of the concurrent root region scan phase and it lasted for 0.0251507 seconds. 2.068: [GC concurrent-mark-start] Start of the concurrent marking at 2.068 secs from the start of the process. 3.198: [GC concurrent-mark-reset-for-overflow] This indicates that the global marking stack had became full and there was an overflow of the stack. Concurrent marking detected this overflow and had to reset the data structures to start the marking again. 4.053: [GC concurrent-mark-end, 1.9849672 sec] End of the concurrent marking phase and it lasted for 1.9849672 seconds. 4.055: [GC remark 4.055: [GC ref-proc, 0.0000254 secs], 0.0030184 secs] This corresponds to the remark phase which is a stop-the-world phase. It completes the left over marking work (SATB buffers processing) from the previous phase. In this case, this phase took 0.0030184 secs and out of which 0.0000254 secs were spent on Reference processing. 4.088: [GC cleanup 117M->106M(138M), 0.0015198 secs] Cleanup phase which is again a stop-the-world phase. It goes through the marking information of all the regions, computes the live data information of each region, resets the marking data structures and sorts the regions according to their gc-efficiency. In this example, the total heap size is 138M and after the live data counting it was found that the total live data size dropped down from 117M to 106M. 4.090: [GC concurrent-cleanup-start] This concurrent cleanup phase frees up the regions that were found to be empty (didn't contain any live data) during the previous stop-the-world phase. 4.091: [GC concurrent-cleanup-end, 0.0002721] Concurrent cleanup phase took 0.0002721 secs to free up the empty regions. Option -XX:G1PrintRegionLivenessInfo Now, let's look at the output generated with the flag G1PrintRegionLivenessInfo. This is a diagnostic option and gets enabled with -XX:+UnlockDiagnosticVMOptions. G1PrintRegionLivenessInfo prints the live data information of each region during the Cleanup phase of the concurrent-marking cycle. 26.896: [GC cleanup ### PHASE Post-Marking @ 26.896### HEAP committed: 0x02e00000-0x0fe00000 reserved: 0x02e00000-0x12e00000 region-size: 1048576 Cleanup phase of the concurrent-marking cycle started at 26.896 secs from the start of the process and this live data information is being printed after the marking phase. Committed G1 heap ranges from 0x02e00000 to 0x0fe00000 and the total G1 heap reserved by JVM is from 0x02e00000 to 0x12e00000. Each region in the G1 heap is of size 1048576 bytes. ### type address-range used prev-live next-live gc-eff### (bytes) (bytes) (bytes) (bytes/ms) This is the header of the output that tells us about the type of the region, address-range of the region, used space in the region, live bytes in the region with respect to the previous marking cycle, live bytes in the region with respect to the current marking cycle and the GC efficiency of that region. ### FREE 0x02e00000-0x02f00000 0 0 0 0.0 This is a Free region. ### OLD 0x02f00000-0x03000000 1048576 1038592 1038592 0.0 Old region with address-range from 0x02f00000 to 0x03000000. Total used space in the region is 1048576 bytes, live bytes as per the previous marking cycle are 1038592 and live bytes with respect to the current marking cycle are also 1038592. The GC efficiency has been computed as 0. ### EDEN 0x03400000-0x03500000 20992 20992 20992 0.0 This is an Eden region. ### HUMS 0x0ae00000-0x0af00000 1048576 1048576 1048576 0.0### HUMC 0x0af00000-0x0b000000 1048576 1048576 1048576 0.0### HUMC 0x0b000000-0x0b100000 1048576 1048576 1048576 0.0### HUMC 0x0b100000-0x0b200000 1048576 1048576 1048576 0.0### HUMC 0x0b200000-0x0b300000 1048576 1048576 1048576 0.0### HUMC 0x0b300000-0x0b400000 1048576 1048576 1048576 0.0### HUMC 0x0b400000-0x0b500000 1001480 1001480 1001480 0.0 These are the continuous set of regions called Humongous regions for storing a large object. HUMS (Humongous starts) marks the start of the set of humongous regions and HUMC (Humongous continues) tags the subsequent regions of the humongous regions set. ### SURV 0x09300000-0x09400000 16384 16384 16384 0.0 This is a Survivor region. ### SUMMARY capacity: 208.00 MB used: 150.16 MB / 72.19 % prev-live: 149.78 MB / 72.01 % next-live: 142.82 MB / 68.66 % At the end, a summary is printed listing the capacity, the used space and the change in the liveness after the completion of concurrent marking. In this case, G1 heap capacity is 208MB, total used space is 150.16MB which is 72.19% of the total heap size, live data in the previous marking was 149.78MB which was 72.01% of the total heap size and the live data as per the current marking is 142.82MB which is 68.66% of the total heap size. Option -XX:+G1PrintHeapRegions G1PrintHeapRegions option logs the regions related events when regions are committed, allocated into or are reclaimed. COMMIT/UNCOMMIT events G1HR COMMIT [0x6e900000,0x6ea00000]G1HR COMMIT [0x6ea00000,0x6eb00000] Here, the heap is being initialized or expanded and the region (with bottom: 0x6eb00000 and end: 0x6ec00000) is being freshly committed. COMMIT events are always generated in order i.e. the next COMMIT event will always be for the uncommitted region with the lowest address. G1HR UNCOMMIT [0x72700000,0x72800000]G1HR UNCOMMIT [0x72600000,0x72700000] Opposite to COMMIT. The heap got shrunk at the end of a Full GC and the regions are being uncommitted. Like COMMIT, UNCOMMIT events are also generated in order i.e. the next UNCOMMIT event will always be for the committed region with the highest address. GC Cycle events G1HR #StartGC 7G1HR CSET 0x6e900000G1HR REUSE 0x70500000G1HR ALLOC(Old) 0x6f800000G1HR RETIRE 0x6f800000 0x6f821b20G1HR #EndGC 7 This shows start and end of an Evacuation pause. This event is followed by a GC counter tracking both evacuation pauses and Full GCs. Here, this is the 7th GC since the start of the process. G1HR #StartFullGC 17G1HR UNCOMMIT [0x6ed00000,0x6ee00000]G1HR POST-COMPACTION(Old) 0x6e800000 0x6e854f58G1HR #EndFullGC 17 Shows start and end of a Full GC. This event is also followed by the same GC counter as above. This is the 17th GC since the start of the process. ALLOC events G1HR ALLOC(Eden) 0x6e800000 The region with bottom 0x6e800000 just started being used for allocation. In this case it is an Eden region and allocated into by a mutator thread. G1HR ALLOC(StartsH) 0x6ec00000 0x6ed00000G1HR ALLOC(ContinuesH) 0x6ed00000 0x6e000000 Regions being used for the allocation of Humongous object. The object spans over two regions. G1HR ALLOC(SingleH) 0x6f900000 0x6f9eb010 Single region being used for the allocation of Humongous object. G1HR COMMIT [0x6ee00000,0x6ef00000]G1HR COMMIT [0x6ef00000,0x6f000000]G1HR COMMIT [0x6f000000,0x6f100000]G1HR COMMIT [0x6f100000,0x6f200000]G1HR ALLOC(StartsH) 0x6ee00000 0x6ef00000G1HR ALLOC(ContinuesH) 0x6ef00000 0x6f000000G1HR ALLOC(ContinuesH) 0x6f000000 0x6f100000G1HR ALLOC(ContinuesH) 0x6f100000 0x6f102010 Here, Humongous object allocation request could not be satisfied by the free committed regions that existed in the heap, so the heap needed to be expanded. Thus new regions are committed and then allocated into for the Humongous object. G1HR ALLOC(Old) 0x6f800000 Old region started being used for allocation during GC. G1HR ALLOC(Survivor) 0x6fa00000 Region being used for copying old objects into during a GC. Note that Eden and Humongous ALLOC events are generated outside the GC boundaries and Old and Survivor ALLOC events are generated inside the GC boundaries. Other Events G1HR RETIRE 0x6e800000 0x6e87bd98 Retire and stop using the region having bottom 0x6e800000 and top 0x6e87bd98 for allocation. Note that most regions are full when they are retired and we omit those events to reduce the output volume. A region is retired when another region of the same type is allocated or we reach the start or end of a GC(depending on the region). So for Eden regions: For example: 1. ALLOC(Eden) Foo2. ALLOC(Eden) Bar3. StartGC At point 2, Foo has just been retired and it was full. At point 3, Bar was retired and it was full. If they were not full when they were retired, we will have a RETIRE event: 1. ALLOC(Eden) Foo2. RETIRE Foo top3. ALLOC(Eden) Bar4. StartGC G1HR CSET 0x6e900000 Region (bottom: 0x6e900000) is selected for the Collection Set. The region might have been selected for the collection set earlier (i.e. when it was allocated). However, we generate the CSET events for all regions in the CSet at the start of a GC to make sure there's no confusion about which regions are part of the CSet. G1HR POST-COMPACTION(Old) 0x6e800000 0x6e839858 POST-COMPACTION event is generated for each non-empty region in the heap after a full compaction. A full compaction moves objects around, so we don't know what the resulting shape of the heap is (which regions were written to, which were emptied, etc.). To deal with this, we generate a POST-COMPACTION event for each non-empty region with its type (old/humongous) and the heap boundaries. At this point we should only have Old and Humongous regions, as we have collapsed the young generation, so we should not have eden and survivors. POST-COMPACTION events are generated within the Full GC boundary. G1HR CLEANUP 0x6f400000G1HR CLEANUP 0x6f300000G1HR CLEANUP 0x6f200000 These regions were found empty after remark phase of Concurrent Marking and are reclaimed shortly afterwards. G1HR #StartGC 5G1HR CSET 0x6f400000G1HR CSET 0x6e900000G1HR REUSE 0x6f800000 At the end of a GC we retire the old region we are allocating into. Given that its not full, we will carry on allocating into it during the next GC. This is what REUSE means. In the above case 0x6f800000 should have been the last region with an ALLOC(Old) event during the previous GC and should have been retired before the end of the previous GC. G1HR ALLOC-FORCE(Eden) 0x6f800000 A specialization of ALLOC which indicates that we have reached the max desired number of the particular region type (in this case: Eden), but we decided to allocate one more. Currently it's only used for Eden regions when we extend the young generation because we cannot do a GC as the GC-Locker is active. G1HR EVAC-FAILURE 0x6f800000 During a GC, we have failed to evacuate an object from the given region as the heap is full and there is no space left to copy the object. This event is generated within GC boundaries and exactly once for each region from which we failed to evacuate objects. When Heap Regions are reclaimed ? It is also worth mentioning when the heap regions in the G1 heap are reclaimed. All regions that are in the CSet (the ones that appear in CSET events) are reclaimed at the end of a GC. The exception to that are regions with EVAC-FAILURE events. All regions with CLEANUP events are reclaimed. After a Full GC some regions get reclaimed (the ones from which we moved the objects out). But that is not shown explicitly, instead the non-empty regions that are left in the heap are printed out with the POST-COMPACTION events.

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  • Cisco ASA: How to route PPPoE-assigned subnet?

    - by Martijn Heemels
    We've just received a fiber uplink, and I'm trying to configure our Cisco ASA 5505 to properly use it. The provider requires us to connect via PPPoE, and I managed to configure the ASA as a PPPoE client and establish a connection. The ASA is assigned an IP address by PPPoE, and I can ping out from the ASA to the internet, but I should have access to an entire /28 subnet. I can't figure out how to get that subnet configured on the ASA, so that I can route or NAT the available public addresses to various internal hosts. My assigned range is: 188.xx.xx.176/28 The address I get via PPPoE is 188.xx.xx.177/32, which according to our provider is our Default Gateway address. They claim the subnet is correctly routed to us on their side. How does the ASA know which range it is responsible for on the Fiber interface? How do I use the addresses from my range? To clarify my config; The ASA is currently configured to default-route to our ADSL uplink on port Ethernet0/0 (interface vlan2, nicknamed Outside). The fiber is connected to port Ethernet0/2 (interface vlan50, nicknamed Fiber) so I can configure and test it before making it the default route. Once I'm clear on how to set it all up, I'll fully replace the Outside interface with Fiber. My config (rather long): : Saved : ASA Version 8.3(2)4 ! hostname gw domain-name example.com enable password ****** encrypted passwd ****** encrypted names name 10.10.1.0 Inside-dhcp-network description Desktops and clients that receive their IP via DHCP name 10.10.0.208 svn.example.com description Subversion server name 10.10.0.205 marvin.example.com description LAMP development server name 10.10.0.206 dns.example.com description DNS, DHCP, NTP ! interface Vlan2 description Old ADSL WAN connection nameif outside security-level 0 ip address 192.168.1.2 255.255.255.252 ! interface Vlan10 description LAN vlan 10 Regular LAN traffic nameif inside security-level 100 ip address 10.10.0.254 255.255.0.0 ! interface Vlan11 description LAN vlan 11 Lab/test traffic nameif lab security-level 90 ip address 10.11.0.254 255.255.0.0 ! interface Vlan20 description LAN vlan 20 ISCSI traffic nameif iscsi security-level 100 ip address 10.20.0.254 255.255.0.0 ! interface Vlan30 description LAN vlan 30 DMZ traffic nameif dmz security-level 50 ip address 10.30.0.254 255.255.0.0 ! interface Vlan40 description LAN vlan 40 Guests access to the internet nameif guests security-level 50 ip address 10.40.0.254 255.255.0.0 ! interface Vlan50 description New WAN Corporate Internet over fiber nameif fiber security-level 0 pppoe client vpdn group KPN ip address pppoe ! interface Ethernet0/0 switchport access vlan 2 speed 100 duplex full ! interface Ethernet0/1 switchport trunk allowed vlan 10,11,30,40 switchport trunk native vlan 10 switchport mode trunk ! interface Ethernet0/2 switchport access vlan 50 speed 100 duplex full ! interface Ethernet0/3 shutdown ! interface Ethernet0/4 shutdown ! interface Ethernet0/5 switchport access vlan 20 ! interface Ethernet0/6 shutdown ! interface Ethernet0/7 shutdown ! boot system disk0:/asa832-4-k8.bin ftp mode passive clock timezone CEST 1 clock summer-time CEDT recurring last Sun Mar 2:00 last Sun Oct 3:00 dns domain-lookup inside dns server-group DefaultDNS name-server dns.example.com domain-name example.com same-security-traffic permit inter-interface same-security-traffic permit intra-interface object network inside-net subnet 10.10.0.0 255.255.0.0 object network svn.example.com host 10.10.0.208 object network marvin.example.com host 10.10.0.205 object network lab-net subnet 10.11.0.0 255.255.0.0 object network dmz-net subnet 10.30.0.0 255.255.0.0 object network guests-net subnet 10.40.0.0 255.255.0.0 object network dhcp-subnet subnet 10.10.1.0 255.255.255.0 description DHCP assigned addresses on Vlan 10 object network Inside-vpnpool description Pool of assignable addresses for VPN clients object network vpn-subnet subnet 10.10.3.0 255.255.255.0 description Address pool assignable to VPN clients object network dns.example.com host 10.10.0.206 description DNS, DHCP, NTP object-group service iscsi tcp description iscsi storage traffic port-object eq 3260 access-list outside_access_in remark Allow access from outside to HTTP on svn. access-list outside_access_in extended permit tcp any object svn.example.com eq www access-list Insiders!_splitTunnelAcl standard permit 10.10.0.0 255.255.0.0 access-list iscsi_access_in remark Prevent disruption of iscsi traffic from outside the iscsi vlan. access-list iscsi_access_in extended deny tcp any interface iscsi object-group iscsi log warnings ! snmp-map DenyV1 deny version 1 ! pager lines 24 logging enable logging timestamp logging asdm-buffer-size 512 logging monitor warnings logging buffered warnings logging history critical logging asdm errors logging flash-bufferwrap logging flash-minimum-free 4000 logging flash-maximum-allocation 2000 mtu outside 1500 mtu inside 1500 mtu lab 1500 mtu iscsi 9000 mtu dmz 1500 mtu guests 1500 mtu fiber 1492 ip local pool DHCP_VPN 10.10.3.1-10.10.3.20 mask 255.255.0.0 ip verify reverse-path interface outside no failover icmp unreachable rate-limit 10 burst-size 5 asdm image disk0:/asdm-635.bin asdm history enable arp timeout 14400 nat (inside,outside) source static any any destination static vpn-subnet vpn-subnet ! object network inside-net nat (inside,outside) dynamic interface object network svn.example.com nat (inside,outside) static interface service tcp www www object network lab-net nat (lab,outside) dynamic interface object network dmz-net nat (dmz,outside) dynamic interface object network guests-net nat (guests,outside) dynamic interface access-group outside_access_in in interface outside access-group iscsi_access_in in interface iscsi route outside 0.0.0.0 0.0.0.0 192.168.1.1 1 timeout xlate 3:00:00 timeout conn 1:00:00 half-closed 0:10:00 udp 0:02:00 icmp 0:00:02 timeout sunrpc 0:10:00 h323 0:05:00 h225 1:00:00 mgcp 0:05:00 mgcp-pat 0:05:00 timeout sip 0:30:00 sip_media 0:02:00 sip-invite 0:03:00 sip-disconnect 0:02:00 timeout sip-provisional-media 0:02:00 uauth 0:05:00 absolute timeout tcp-proxy-reassembly 0:01:00 dynamic-access-policy-record DfltAccessPolicy aaa-server SBS2003 protocol radius aaa-server SBS2003 (inside) host 10.10.0.204 timeout 5 key ***** aaa authentication enable console SBS2003 LOCAL aaa authentication ssh console SBS2003 LOCAL aaa authentication telnet console SBS2003 LOCAL http server enable http 10.10.0.0 255.255.0.0 inside snmp-server host inside 10.10.0.207 community ***** version 2c snmp-server location Server room snmp-server contact [email protected] snmp-server community ***** snmp-server enable traps snmp authentication linkup linkdown coldstart snmp-server enable traps syslog crypto ipsec transform-set TRANS_ESP_AES-256_SHA esp-aes-256 esp-sha-hmac crypto ipsec transform-set TRANS_ESP_AES-256_SHA mode transport crypto ipsec transform-set ESP-AES-256-MD5 esp-aes-256 esp-md5-hmac crypto ipsec transform-set ESP-DES-SHA esp-des esp-sha-hmac crypto ipsec transform-set ESP-DES-MD5 esp-des esp-md5-hmac crypto ipsec transform-set ESP-AES-192-MD5 esp-aes-192 esp-md5-hmac crypto ipsec transform-set ESP-3DES-MD5 esp-3des esp-md5-hmac crypto ipsec transform-set ESP-AES-256-SHA esp-aes-256 esp-sha-hmac crypto ipsec transform-set ESP-AES-128-SHA esp-aes esp-sha-hmac crypto ipsec transform-set ESP-AES-192-SHA esp-aes-192 esp-sha-hmac crypto ipsec transform-set ESP-AES-128-MD5 esp-aes esp-md5-hmac crypto ipsec transform-set ESP-3DES-SHA esp-3des esp-sha-hmac crypto ipsec security-association lifetime seconds 28800 crypto ipsec security-association lifetime kilobytes 4608000 crypto dynamic-map outside_dyn_map 20 set pfs group5 crypto dynamic-map outside_dyn_map 20 set transform-set TRANS_ESP_AES-256_SHA crypto dynamic-map SYSTEM_DEFAULT_CRYPTO_MAP 65535 set transform-set ESP-AES-128-SHA ESP-AES-128-MD5 ESP-AES-192-SHA ESP-AES-192-MD5 ESP-AES-256-SHA ESP-AES-256-MD5 ESP-3DES-SHA ESP-3DES-MD5 ESP-DES-SHA ESP-DES-MD5 crypto map outside_map 65535 ipsec-isakmp dynamic SYSTEM_DEFAULT_CRYPTO_MAP crypto map outside_map interface outside crypto isakmp enable outside crypto isakmp policy 1 authentication pre-share encryption 3des hash sha group 2 lifetime 86400 telnet 10.10.0.0 255.255.0.0 inside telnet timeout 5 ssh scopy enable ssh 10.10.0.0 255.255.0.0 inside ssh timeout 5 ssh version 2 console timeout 30 management-access inside vpdn group KPN request dialout pppoe vpdn group KPN localname INSIDERS vpdn group KPN ppp authentication pap vpdn username INSIDERS password ***** store-local dhcpd address 10.40.1.0-10.40.1.100 guests dhcpd dns 8.8.8.8 8.8.4.4 interface guests dhcpd update dns interface guests dhcpd enable guests ! threat-detection basic-threat threat-detection scanning-threat threat-detection statistics host number-of-rate 2 threat-detection statistics port number-of-rate 3 threat-detection statistics protocol number-of-rate 3 threat-detection statistics access-list threat-detection statistics tcp-intercept rate-interval 30 burst-rate 400 average-rate 200 ntp server dns.example.com source inside prefer webvpn group-policy DfltGrpPolicy attributes vpn-tunnel-protocol IPSec l2tp-ipsec group-policy Insiders! internal group-policy Insiders! attributes wins-server value 10.10.0.205 dns-server value 10.10.0.206 vpn-tunnel-protocol IPSec l2tp-ipsec split-tunnel-policy tunnelspecified split-tunnel-network-list value Insiders!_splitTunnelAcl default-domain value example.com username martijn password ****** encrypted privilege 15 username marcel password ****** encrypted privilege 15 tunnel-group DefaultRAGroup ipsec-attributes pre-shared-key ***** tunnel-group Insiders! type remote-access tunnel-group Insiders! general-attributes address-pool DHCP_VPN authentication-server-group SBS2003 LOCAL default-group-policy Insiders! tunnel-group Insiders! ipsec-attributes pre-shared-key ***** ! class-map global-class match default-inspection-traffic class-map type inspect http match-all asdm_medium_security_methods match not request method head match not request method post match not request method get ! ! policy-map type inspect dns preset_dns_map parameters message-length maximum 512 policy-map type inspect http http_inspection_policy parameters protocol-violation action drop-connection policy-map global-policy class global-class inspect dns inspect esmtp inspect ftp inspect h323 h225 inspect h323 ras inspect http inspect icmp inspect icmp error inspect mgcp inspect netbios inspect pptp inspect rtsp inspect snmp DenyV1 ! service-policy global-policy global smtp-server 123.123.123.123 prompt hostname context call-home profile CiscoTAC-1 no active destination address http https://tools.cisco.com/its/service/oddce/services/DDCEService destination address email [email protected] destination transport-method http subscribe-to-alert-group diagnostic subscribe-to-alert-group environment subscribe-to-alert-group inventory periodic monthly subscribe-to-alert-group configuration periodic monthly subscribe-to-alert-group telemetry periodic daily hpm topN enable Cryptochecksum:a76bbcf8b19019771c6d3eeecb95c1ca : end asdm image disk0:/asdm-635.bin asdm location svn.example.com 255.255.255.255 inside asdm location marvin.example.com 255.255.255.255 inside asdm location dns.example.com 255.255.255.255 inside asdm history enable

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  • SQL SERVER – NTFS File System Performance for SQL Server

    - by pinaldave
    Note: Before practicing any of the suggestion of this article, consult your IT Infrastructural Admin, applying the suggestion without proper testing can only damage your system. Question: “Pinal, we have 80 GB of data including all the database files, we have our data in NTFS file system. We have proper backups are set up. Any suggestion for our NTFS file system performance improvement. Our SQL Server box is running only SQL Server and nothing else. Please advise.” When I receive questions which I have just listed above, it often sends me deep thought. Honestly, I know a lot but there are plenty of things, I believe can be built with community knowledge base. Today I need you to help me to complete this list. I will start the list and you help me complete it. NTFS File System Performance Best Practices for SQL Server Disable Indexing on disk volumes Disable generation of 8.3 names (command: FSUTIL BEHAVIOR SET DISABLE8DOT3 1) Disable last file access time tracking (command: FSUTIL BEHAVIOR SET DISABLELASTACCESS 1) Keep some space empty (let us say 15% for reference) on drive is possible (Only on Filestream Data storage volume) Defragement the volume Add your suggestions here… The one which I often get a pretty big debate is NTFS allocation size. I have seen that on the disk volume which stores filestream data, when increased allocation to 64K from 4K, it reduces the fragmentation. Again, I suggest you attempt this after proper testing on your server. Every system is different and the file stored is different. Here is when I would like to request you to share your experience with related to NTFS allocation size. If you do not agree with any of the above suggestions, leave a comment with reference and I will modify it. Please note that above list prepared assuming the SQL Server application is only running on the computer system. The next question does all these still relevant for SSD – I personally have no experience with SSD with large database so I will refrain from comment. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • How does I/O work for large graph databases?

    - by tjb1982
    I should preface this by saying that I'm mostly a front end web developer, trained as a musician, but over the past few years I've been getting more and more into computer science. So one idea I have as a fun toy project to learn about data structures and C programming was to design and implement my own very simple database that would manage an adjacency list of posts. I don't want SQL (maybe I'll do my own query language? I'm just having fun). It should support ACID. It should be capable of storing 1TB let's say. So with that, I was trying to think of how a database even stores data, without regard to data structures necessarily. I'm working on linux, and I've read that in that world "everything is a file," including hardware (like /dev/*), so I think that that obviously has to apply to a database, too, and it clearly does--whether it's MySQL or PostgreSQL or Neo4j, the database itself is a collection of files you can see in the filesystem. That said, there would come a point in scale where loading the entire database into primary memory just wouldn't work, so it doesn't make sense to design it with that mindset (I assume). However, reading from secondary memory would be much slower and regardless some portion of the database has to be in primary memory in order for you to be able to do anything with it. I read this post: Why use a database instead of just saving your data to disk? And I found it difficult to understand how other databases, like SQLite or Neo4j, read and write from secondary memory and are still very fast (faster, it would seem, than simply writing files to the filesystem as the above question suggests). It seems the key is indexing. But even indexes need to be stored in secondary memory. They are inherently smaller than the database itself, but indexes in a very large database might be prohibitively large, too. So my question is how is I/O generally done with large databases like the one I described above that would be at least 1TB storing a big adjacency list? If indexing is more or less the answer, how exactly does indexing work--what data structures should be involved?

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  • Subterranean IL: Volatile

    - by Simon Cooper
    This time, we'll be having a look at the volatile. prefix instruction, and one of the differences between volatile in IL and C#. The volatile. prefix volatile is a tricky one, as there's varying levels of documentation on it. From what I can see, it has two effects: It prevents caching of the load or store value; rather than reading or writing to a cached version of the memory location (say, the processor register or cache), it forces the value to be loaded or stored at the 'actual' memory location, so it is then immediately visible to other threads. It forces a memory barrier at the prefixed instruction. This ensures instructions don't get re-ordered around the volatile instruction. This is slightly more complicated than it first seems, and only seems to matter on certain architectures. For more details, Joe Duffy has a blog post going into the details. For this post, I'll be concentrating on the first aspect of volatile. Caching field accesses To demonstrate this, I created a simple multithreaded IL program. It boils down to the following code: .class public Holder { .field public static class Holder holder .field public bool stop .method public static specialname void .cctor() { newobj instance void Holder::.ctor() stsfld class Holder Holder::holder ret }}.method private static void Main() { .entrypoint // Thread t = new Thread(new ThreadStart(DoWork)) // t.Start() // Thread.Sleep(2000) // Console.WriteLine("Stopping thread...") ldsfld class Holder Holder::holder ldc.i4.1 stfld bool Holder::stop call instance void [mscorlib]System.Threading.Thread::Join() ret}.method private static void DoWork() { ldsfld class Holder Holder::holder // while (!Holder.holder.stop) {} DoWork: dup ldfld bool Holder::stop brfalse DoWork pop ret} If you compile and run this code, you'll find that the call to Thread.Join() never returns - the DoWork spinlock is reading a cached version of Holder.stop, which is never being updated with the new value set by the Main method. Adding volatile to the ldfld fixes this: dupvolatile.ldfld bool Holder::stopbrfalse DoWork The volatile ldfld forces the field access to read direct from heap memory, which is then updated by the main thread, rather than using a cached copy. volatile in C# This highlights one of the differences between IL and C#. In IL, volatile only applies to the prefixed instruction, whereas in C#, volatile is specified on a field to indicate that all accesses to that field should be volatile (interestingly, there's no mention of the 'no caching' aspect of volatile in the C# spec; it only focuses on the memory barrier aspect). Furthermore, this information needs to be stored within the assembly somehow, as such a field might be accessed directly from outside the assembly, but there's no concept of a 'volatile field' in IL! How this information is stored with the field will be the subject of my next post.

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  • Map and fill texture using PBO (OpenGL 3.3)

    - by NtscCobalt
    I'm learning OpenGL 3.3 trying to do the following (as it is done in D3D)... Create Texture of Width, Height, Pixel Format Map texture memory Loop write pixels Unmap texture memory Set Texture Render Right now though it renders as if the entire texture is black. I can't find a reliable source for information on how to do this though. Almost every tutorial I've found just uses glTexSubImage2D and passes a pointer to memory. Here is basically what my code does... (In this case it is generating an 1-byte Alpha Only texture but it is rendering it as the red channel for debugging) GLuint pixelBufferID; glGenBuffers(1, &pixelBufferID); glBindBuffer(GL_PIXEL_UNPACK_BUFFER, pixelBufferID); glBufferData(GL_PIXEL_UNPACK_BUFFER, 512 * 512 * 1, nullptr, GL_STREAM_DRAW); glBindBuffer(GL_PIXEL_UNPACK_BUFFER, 0); GLuint textureID; glGenTextures(1, &textureID); glBindTexture(GL_TEXTURE_2D, textureID); glTexImage2D(GL_TEXTURE_2D, 0, GL_R8, 512, 512, 0, GL_RED, GL_UNSIGNED_BYTE, nullptr); glBindTexture(GL_TEXTURE_2D, 0); glBindTexture(GL_TEXTURE_2D, textureID); glBindBuffer(GL_PIXEL_UNPACK_BUFFER, pixelBufferID); void *Memory = glMapBuffer(GL_PIXEL_UNPACK_BUFFER, GL_WRITE_ONLY); // Memory copied here, I know this is valid because it is the same loop as in my working D3D version glUnmapBuffer(GL_PIXEL_UNPACK_BUFFER); glBindBuffer(GL_PIXEL_UNPACK_BUFFER, 0); And then here is the render loop. // This chunk left in for completeness glUseProgram(glProgramId); glBindVertexArray(glVertexArrayId); glBindBuffer(GL_ARRAY_BUFFER, glVertexBufferId); glEnableVertexAttribArray(0); glVertexAttribPointer(0, 3, GL_FLOAT, GL_FALSE, 20, 0); glVertexAttribPointer(0, 2, GL_FLOAT, GL_FALSE, 20, 12); GLuint transformLocationID = glGetUniformLocation(3, 'transform'); glUniformMatrix4fv(transformLocationID , 1, true, somematrix) // Not sure if this is all I need to do glBindTexture(GL_TEXTURE_2D, pTex->glTextureId); GLuint textureLocationID = glGetUniformLocation(glProgramId, "texture"); glUniform1i(textureLocationID, 0); glDrawArrays(GL_TRIANGLES, Offset*3, Triangles*3); Vertex Shader #version 330 core in vec3 Position; in vec2 TexCoords; out vec2 TexOut; uniform mat4 transform; void main() { TexOut = TexCoords; gl_Position = vec4(Position, 1.0) * transform; } Pixel Shader #version 330 core uniform sampler2D texture; in vec2 TexCoords; out vec4 fragColor; void main() { // Output color fragColor.r = texture2D(texture, TexCoords).r; fragColor.g = 0.0f; fragColor.b = 0.0f; fragColor.a = 1.0; }

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  • iPhone Objective C - error: pointer value used where a floating point value was expected

    - by Mausimo
    I do not understand why i am getting this error. Here is the related code: Photo.h #import <CoreData/CoreData.h> @class Person; @interface Photo : NSManagedObject { } @property (nonatomic, retain) NSData * imageData; @property (nonatomic, retain) NSNumber * Latitude; @property (nonatomic, retain) NSString * ImageName; @property (nonatomic, retain) NSString * ImagePath; @property (nonatomic, retain) NSNumber * Longitude; @property (nonatomic, retain) Person * PhotoToPerson; @end Photo.m #import "Photo.h" #import "Person.h" @implementation Photo @dynamic imageData; @dynamic Latitude; @dynamic ImageName; @dynamic ImagePath; @dynamic Longitude; @dynamic PhotoToPerson; @end This is a mapViewController.m class i have created. If i run this, the CLLocationDegrees CLLat and CLLong lines: CLLocationDegrees CLLat = (CLLocationDegrees)photo.Latitude; CLLocationDegrees CLLong = (CLLocationDegrees)photo.Longitude; give me the error : pointer value used where a floating point value was expected. for(int i = 0; i < iPerson; i++) { //get the person that corresponds to the row indexPath that is currently being rendered and set the text Person * person = (Person *)[myArrayPerson objectAtIndex:i]; //get the photos associated with the person NSArray * PhotoArray = [person.PersonToPhoto allObjects]; int iPhoto = [PhotoArray count]; for(int j = 0; j < iPhoto; j++) { //get the first photo (all people will have atleast 1 photo, else they will not exist). Set the image Photo * photo = (Photo *)[PhotoArray objectAtIndex:j]; if(photo.Latitude != nil && photo.Longitude != nil) { MyAnnotation *ann = [[MyAnnotation alloc] init]; ann.title = photo.ImageName; ann.subtitle = photo.ImageName; CLLocationCoordinate2D cord; CLLocationDegrees CLLat = (CLLocationDegrees)photo.Latitude; CLLocationDegrees CLLong = (CLLocationDegrees)photo.Longitude; cord.latitude = CLLat; cord.longitude = CLLong; ann.coordinate = cord; [mkMapView addAnnotation:ann]; } } }

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  • A problem with the asp.net create user control

    - by Sir Psycho
    Hi, I've customised the asp.net login control and it seems to create new accounts fine, but if I duplicate the user id thats already registered or enter an email thats already used, the error messages arn't displaying. Its driving me crazy. The page just refreshes without showing an error. I've included the as instructed on the MSDN site but nothing. http://msdn.microsoft.com/en-us/library/ms178342.aspx <asp:CreateUserWizard ErrorMessageStyle-BorderColor="Azure" ID="CreateUserWizard1" runat="server" ContinueDestinationPageUrl="~/home.aspx"> <WizardSteps> <asp:CreateUserWizardStep ID="CreateUserWizardStep1" runat="server"> <ContentTemplate> <asp:Literal ID="ErrorMessage" runat="server"></asp:Literal> <div class="fieldLine"> <asp:Label ID="lblFirstName" runat="server" Text="First Name:" AssociatedControlID="tbxFirstName"></asp:Label> <asp:Label ID="lblLastName" runat="server" Text="Last Name:" AssociatedControlID="tbxLastName"></asp:Label> </div> <div class="fieldLine"> <asp:TextBox ID="tbxFirstName" runat="server"></asp:TextBox> <asp:TextBox ID="tbxLastName" runat="server"></asp:TextBox> </div> <asp:Label ID="lblEmail" runat="server" Text="Email:" AssociatedControlID="Email"></asp:Label> <asp:TextBox ID="Email" runat="server" CssClass="wideInput"></asp:TextBox><br /> <asp:RequiredFieldValidator ID="RequiredFieldValidator1" runat="server" CssClass="aspValidator" Display="Dynamic" ControlToValidate="Email" ErrorMessage="Required"></asp:RequiredFieldValidator> <asp:RegularExpressionValidator ID="RegularExpressionValidator1" runat="server" Display="Dynamic" CssClass="aspValidator" ControlToValidate="Email" SetFocusOnError="true" ValidationExpression="^(?:[a-zA-Z0-9_'^&amp;/+-])+(?:\.(?:[a-zA-Z0-9_'^&amp;/+-])+)*@(?:(?:\[?(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?))\.){3}(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\]?)|(?:[a-zA-Z0-9-]+\.)+(?:[a-zA-Z]){2,}\.?)$" ErrorMessage="Email address not valid"></asp:RegularExpressionValidator> <asp:Label ID="lblEmailConfirm" runat="server" Text="Confirm Email Address:" AssociatedControlID="tbxEmailConfirm"></asp:Label> <asp:TextBox ID="tbxEmailConfirm" runat="server" CssClass="wideInput"></asp:TextBox><br /> <asp:RequiredFieldValidator ID="RequiredFieldValidator2" runat="server" CssClass="aspValidator" Display="Dynamic" ControlToValidate="tbxEmailConfirm" ErrorMessage="Required"></asp:RequiredFieldValidator> <asp:RegularExpressionValidator ID="RegularExpressionValidator2" runat="server" Display="Dynamic" CssClass="aspValidator" ControlToValidate="tbxEmailConfirm" SetFocusOnError="true" ValidationExpression="^(?:[a-zA-Z0-9_'^&amp;/+-])+(?:\.(?:[a-zA-Z0-9_'^&amp;/+-])+)*@(?:(?:\[?(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?))\.){3}(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\]?)|(?:[a-zA-Z0-9-]+\.)+(?:[a-zA-Z]){2,}\.?)$" ErrorMessage="Email address not valid"></asp:RegularExpressionValidator> <asp:CompareValidator ID="CompareValidator1" runat="server" Display="Dynamic" SetFocusOnError="true" CssClass="aspValidator" ControlToCompare="Email" ControlToValidate="tbxEmailConfirm" ErrorMessage="Email address' do not match"></asp:CompareValidator> <asp:Label ID="lblUsername" runat="server" Text="Username:" AssociatedControlID="UserName"></asp:Label> <asp:TextBox ID="UserName" runat="server" MaxLength="12"></asp:TextBox><br /> <asp:CustomValidator ID="CustomValidatorUserName" runat="server" Display="Dynamic" SetFocusOnError="true" CssClass="aspValidator" ValidateEmptyText="true" ControlToValidate="UserName" ErrorMessage="Username can be between 6 and 12 characters." ClientValidationFunction="ValidateLength" OnServerValidate="ValidateUserName"></asp:CustomValidator> <div class="fieldLine"> <asp:Label ID="lblPassword" runat="server" Text="Password:" AssociatedControlID="Password"></asp:Label> <asp:Label ID="lblPasswordConfirm" runat="server" Text="Confirm Password:" AssociatedControlID="ConfirmPassword" CssClass="confirmPassword"></asp:Label> </div> <div class="fieldLine"> <asp:TextBox ID="Password" runat="server" TextMode="Password"></asp:TextBox> <asp:TextBox ID="ConfirmPassword" runat="server" TextMode="Password"></asp:TextBox><br /> <asp:CustomValidator ID="CustomValidatorPassword" runat="server" Display="Dynamic" SetFocusOnError="true" CssClass="aspValidator" ControlToValidate="Password" ValidateEmptyText="true" ErrorMessage="Password can be between 6 and 12 characters" ClientValidationFunction="ValidateLength" OnServerValidate="ValidatePassword"></asp:CustomValidator> <asp:CustomValidator ID="CustomValidatorConfirmPassword" runat="server" Display="Dynamic" SetFocusOnError="true" CssClass="aspValidator" ControlToValidate="ConfirmPassword" ValidateEmptyText="true" ErrorMessage="Password can be between 6 and 12 characters" ClientValidationFunction="ValidateLength" OnServerValidate="ValidatePassword"></asp:CustomValidator> <asp:CompareValidator ID="CompareValidator2" runat="server" Enabled="false" Display="Dynamic" SetFocusOnError="true" CssClass="aspValidator" ControlToCompare="Password" ControlToValidate="ConfirmPassword" ErrorMessage="Passwords do not match"></asp:CompareValidator> </div> <asp:Label ID="lblCaptch" runat="server" Text="Captcha:" AssociatedControlID="imgCaptcha"></asp:Label> <div class="borderBlue" style="width:200px;"> <asp:Image ID="imgCaptcha" runat="server" ImageUrl="~/JpegImage.aspx" /><br /> </div> <asp:TextBox ID="tbxCaptcha" runat="server" CssClass="captchaText"></asp:TextBox> <asp:RequiredFieldValidator ControlToValidate="tbxCaptcha" CssClass="aspValidator" ID="RequiredFieldValidator3" runat="server" ErrorMessage="Required"></asp:RequiredFieldValidator> <asp:CustomValidator ID="CustomValidator1" ControlToValidate="tbxCaptcha" runat="server" OnServerValidate="ValidateCaptcha" ErrorMessage="Captcha incorrect"></asp:CustomValidator> </ContentTemplate> <CustomNavigationTemplate> <div style="float:left;"> <asp:Button ID="CreateUser" runat="server" Text="Register Now!" CausesValidation="true" CommandName="CreateUser" OnCommand="CreateUserClick" CssClass="registerButton" /> </div> </CustomNavigationTemplate> </asp:CreateUserWizardStep> <asp:CompleteWizardStep ID="CompleteWizardStep1" runat="server"> <ContentTemplate> <table border="0" style="font-size: 100%; font-family: Verdana" id="TABLE1" > <tr> <td align="center" colspan="2" style="font-weight: bold; color: white; background-color: #5d7b9d; height: 18px;"> Complete</td> </tr> <tr> <td> Your account has been successfully created.<br /> </td> </tr> <tr> <td align="right" colspan="2"> <asp:Button ID="Button1" PostBackUrl="~/home.aspx" runat="server" Text="Button" /> </td> </tr> </table> </ContentTemplate> </asp:CompleteWizardStep> </WizardSteps> </asp:CreateUserWizard>

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  • Asp.net mvc 2 .net 4.0 error when View model type is Tuple with more than 4 items

    - by Bojan
    When I create strongly typed View in Asp.net mvc 2, .net 4.0 with model type Tuple I get error when Tuple have more than 4 items example 1: type of view is Tuple<string, string, string, string> (4-tuple) and everything works fine view: <%@ Page Title="" Language="C#" MasterPageFile="~/Views/Shared/WebUI.Master" Inherits="System.Web.Mvc.ViewPage<Tuple<string, string, string, string>>" %> controller: var tuple = Tuple.Create("a", "b", "c", "d"); return View(tuple); example 2: type of view is Tuple<string, string, string, string, string> (5-tuple) and I have this error: Compiler Error Message: CS1003: Syntax error, '>' expected view: <%@ Page Title="" Language="C#" MasterPageFile="~/Views/Shared/WebUI.Master" Inherits="System.Web.Mvc.ViewPage<Tuple<string, string, string, string, string>>" %> controller: var tuple = Tuple.Create("a", "b", "c", "d", "e"); return View(tuple); example 3 if my view model is of type dynamic I can use both 4-tuple and 5-tuple and there is no error on page view: <%@ Page Title="" Language="C#" MasterPageFile="~/Views/Shared/WebUI.Master" Inherits="System.Web.Mvc.ViewPage<dynamic>" %> controller: dynamic model = new ExpandoObject(); model.tuple = Tuple.Create("a", "b", "c", "d"); return View(model); or view: <%@ Page Title="" Language="C#" MasterPageFile="~/Views/Shared/WebUI.Master" Inherits="System.Web.Mvc.ViewPage<dynamic>" %> controller: dynamic model = new ExpandoObject(); model.tuple = Tuple.Create("a", "b", "c", "d", "e"); return View(model); Even if I have something like Tuple<string, Tuple<string, string, string>, string> 3-tuple and one of the items is also a tuple and sum of items in all tuples is more than 4 I get the same error, Tuple<string, Tuple<string, string>, string> works fine

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  • How To: Group Column Headings In WPF.

    - by VoidDweller
    -------------------------------------------------------------------------- |[ Common Category ]|[ Dynamic Category 0 ]|[ Dynamic Category N ]| -------------------------------------------------------------------------- |[Header 1]|[Header 2]|[ Type 0 ]|[ Type N ]|[ Type 0 ]|[ Type N ]| -------------------------------------------------------------------------- |[Data 2 Group] | -------------------------------------------------------------------------- | Data A | Data 2 || Null | Data 1 || Data 0 | Data 1 || | Data B | Data 2 || Data 0 | Null || Data 0 | Data 1 || -------------------------------------------------------------------------- |[Data 1 Group] | -------------------------------------------------------------------------- | Data C | Data 1 || Null | Data 1 || Data 0 | Data 1 || | Data D | Data 1 || Null | Null || Data 0 | Null || -------------------------------------------------------------------------- Dynamic Category: Columns can be 0 or more. Must contain 1 or more Type Columns. Will only be displayed if any row contains Type Column data associated with it. Data Rows: Will be added Asynchronously. Will be grouped by a Common Category column. Will add a Dynamic Category if it does not yet exist. Will add a Type Column if it does not yet exist within its appropriate Dynamic Category. Platform Info: WPF .Net 3.5 sp1 C# I have a few partially functional prototypes, but each has it's own major set of problems. Can any of you give me some guidance on this? A working prototype would be even better! Envision this nicely styled. :-)

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  • How are DynamicResources built and their use in contextmenus.

    - by miguel
    Are dynamic resources truly dynamic? If I define a DynamicResource, I realise that an expression is created (where?) that is not translated into a resource until runtime, however, What I do not understans is whether this dynamicresouce, once built, is now "Static" For instance, if I create a context menu via a dynamicresource, are the menuitems which are created at runtime on access then static, even if they are bound? If so, how can i create a dynamic context menu in XAML?

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  • Best way to translate from IDictionary to a generic IDictionary

    - by George Mauer
    I've got an IDictionary field that I would like to expose via a property of type IDictionary<string, dynamic> the conversion is surprisingly difficult since I have no idea what I can .Cast<>() the IDictionary to. Best I've got: IDictionary properties; protected virtual IDictionary<string, dynamic> Properties { get { return _properties.Keys.Cast<string>() .ToDictionary(name=>name, name=> _properties[name] as dynamic); } }

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  • Given a trace of packets, how would you group them into flows?

    - by zxcvbnm
    I've tried it these ways so far: 1) Make a hash with the source IP/port and destination IP/port as keys. Each position in the hash is a list of packets. The hash is then saved in a file, with each flow separated by some special characters/line. Problem: Not enough memory for large traces. 2) Make a hash with the same key as above, but only keep in memory the file handles. Each packet is then put into the hash[key] that points to the right file. Problems: Too many flows/files (~200k) and it might run out of memory as well. 3) Hash the source IP/port and destination IP/port, then put the info inside a file. The difference between 2 and 3 is that here the files are opened and closed for each operation, so I don't have to worry about running out of memory because I opened too many at the same time. Problems: WAY too slow, same number of files as 2 so also impractical. 4) Make a hash of the source IP/port pairs and then iterate over the whole trace for each flow. Take the packets that are part of that flow and place them into the output file. Problem: Suppose I have a 60 MB trace that has 200k flows. This way, I would process, say, a 60 MB file 200k times. Maybe removing the packets as I iterate would make it not so painful, but so far I'm not sure this would be a good solution. 5) Split them by IP source/destination and then create a single file for each one, separating the flows by special characters. Still too many files (+50k). Right now I'm using Ruby to do it, which might've been a bad idea, I guess. Currently I've filtered the traces with tshark so that they only have relevant info, so I can't really make them any smaller. I thought about loading everything in memory as described in 1) using C#/Java/C++, but I was wondering if there wouldn't be a better approach here, especially since I might also run out of memory later on even with a more efficient language if I have to use larger traces. In summary, the problem I'm facing is that I either have too many files or that I run out of memory. I've also tried searching for some tool to filter the info, but I don't think there is one. The ones I've found only return some statistics and wouldn't scan for every flow as I need.

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  • How are DynamicResources built? Use in contextmenus.

    - by miguel
    Are dynamic resources truly dynamic? If I define a DynamicResource, I realise that an expression is created (where?) that is not translated into a resource until runtime, however, What I do not understans is whether this dynamicresouce, once built, is now "Static" For instance, if I create a context menu via a dynamicresource, are the menuitems which are created at runtime on access then static, even if they are bound? If so, how can i create a dynamic context menu in XAML?

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  • Few doubts regarding Bitmaps , Images & `using` blocks

    - by imageWorker
    I caught up in this problem. http://stackoverflow.com/questions/2559826/garbage-collector-not-doing-its-job-memory-consumption-1-5gb-outofmemory-exc I feel that there is something wrong in my understanding. Please clarify these things. Destructor & IDisposable.Dispose are two methods for freeing resources that are not not under the control of .NET. Which means, everything except memory. right? using blocks are just better way of calling IDisposable.Dispose() method of an object. This is the main code I'm referring to. class someclass { static someMethod(Bitmap img) { Bitmap bmp = new Bitmap(img); //statement1 // some code here and return } } here is class I'm using for testing: class someotherClass { public static voide Main() { foreach (string imagePath in imagePathsArray) { using (Bitmap img1 = new Bitmap(imagePath)) { someclass.someMethod(img1); // does some more processing on `img1` } } } } Is there any memory leak with statement1? Question1: If each image size is say 10MB. Then does this bmp object occupy atleast 10MB? What I mean is, will it make completely new copy of entire image? or just refer to it? Question2:should I or should I not put the statement1 in using block? My Argument: We should not. Because using is not for freeing memory but for freeing the resources (file handle in this case). If I use it in using block. It closes file handle here encapsulated by this bmp object. It means we are also closing filehandle for the caller's img1 object. Which is not correct? As of the memory leak. No there is no scope of memory leak here. Because reference bmp is destroyed when this method is returned. Which leaves memory it refered without any pointer. So, its garbage collected. Am I right? Edit: class someclass { static Bitmap someMethod(Bitmap img) { Bitmap bmp = new Bitmap(img); //can I use `using` block on this enclosing `return bmp`; ??? // do some processing on bmp here return bmp; } }

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  • Druapl & Regular PHP Integration

    - by user333128
    I'm building a new website which has one core application and many content pages. Content pages are mostly dynamic and I require a way to manage this dynamic content on a regular basis. The core application's main functionality is a 3 step process or reading user data (input page), reading data from MySQL (product page) and submitting an application to an email address (application page). Ideally I would like to build the core application in regular PHP and leverage Drupal for its content management capabilities. Can Drupal and regular PHP be integrated as I suggest easily? My feeling is that coding the core application as a Drupal module(s) will add layers of complexity that could be difficult to code from the outset and maintain later on as the system matures - so I would really like to just use regular PHP. Let me explain where dynamic content (managed by the CMS) intersects with the core application: Dynamic content such as FAQ data is used both on the 'normal' help pages and also within a mini-feed displayed within core application pages down a right hand side column. In this column, 3 random questions are pulled from the database and displayed as a feed. When users click on FAQ question they are not taken away from the core application product page but are instead shown data in a pop-up window displaying the question and answer. In addition, users can browse other questions and answers through a simple navigation menu within this popup. There are 3 such like feeds as I describe above that I require on the core application product page. So, what is the ideal solution here in terms of 'keeping things simple' for both the management of dynamic content and the ease of coding the core application? Can 'regular PHP' and Drupal co-exist 'peacefully'? If so, how is this technically possible? Because there is some content managed by Drupal contained within core application pages, can the core application still be coded in regular PHP? Any advice / suggestions? Thank you! Jim.

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