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  • Source-to-source compiler framework wanted

    - by cheungcc_2000
    Dear all, I used to use OpenC++ (http://opencxx.sourceforge.net/opencxx/html/overview.html) to perform code generation like: Source: class MyKeyword A { public: void myMethod(inarg double x, inarg const std::vector<int>& y, outarg double& z); }; Generated: class A { public: void myMethod(const string& x, double& y); // generated method below: void _myMehtod(const string& serializedInput, string& serializedOutput) { double x; std::vector<int> y; // deserialized x and y from serializedInput double z; myMethod(x, y, z); } }; This kind of code generation directly matches the use case in the tutorial of OpenC++ (http://www.csg.is.titech.ac.jp/~chiba/opencxx/tutorial.pdf) by writing a meta-level program for handling "MyKeyword", "inarg" and "outarg" and performing the code generation. However, OpenC++ is sort of out-of-date and inactive now, and my code generator can only work on g++ 3.2 and it triggers error on parsing header files of g++ of higher version. I have looked at VivaCore, but it does not provide the infra-structure for compiling meta-level program. I'm also looking at LLVM, but I cannot find documentation that tutor me on working out my source-to-source compilation usage. I'm also aware of the ROSE compiler framework, but I'm not sure whether it suits my usage, and whether its proprietary C++ front-end binary can be used in a commercial product, and whether a Windows version is available. Any comments and pointers to specific tutorial/paper/documentation are much appreciated.

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  • monitoring iphone 3g/wifi bandswitch

    - by user262325
    Hello everyone I hope add the function to monitor iphone used 3g/wifi band switch. I know I can do these in my app, but I wonder if there is way to monitor all band switch usage of iPhone? I noticed that there is an app http://itunes.apple.com/ca/app/download-meter-for-wi-fi-gprs/id327227530?mt=8 It claims: Works with any carrier (iPods are supported too!). Requires no login/password to your carrier's site. Does not require Internet connection to get traffic usage statistics (works even in Airplane mode) because it gets information on traffic from the device, not a carrier; this means it won't cost you anything to view current traffic consumed, even while roaming in a location where traffic is very expensive. Allows the user to adjust consumed traffic for today or the current month to match traffic amounts reported by your carrier. Stats on the screen are updated every second. Measures traffic in real time with up to byte precision. Separates traffic into incoming and outgoing, Wi-Fi traffic and mobile Internet traffic. It looks like it gets the band switch info from carrier site, but they also said it gets info from device. I am really confused. Welcome any comment. Thanks interdev

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  • Cast exception when trying to create new Task Schedueler task.

    - by seaneshbaugh
    I'm attempting to create a new task in the Windows Task Scheduler in C#. What I've got so far is pretty much a copy and paste of http://bartdesmet.net/blogs/bart/archive/2008/02/23/calling-the-task-scheduler-in-windows-vista-and-windows-server-2008-from-managed-code.aspx Everything compiles just fine but come run time I get the following exception: Unable to cast COM object of type 'System.__ComObject' to interface type 'TaskScheduler.ITimeTrigger'. This operation failed because the QueryInterface call on the COM component for the interface with IID '{B45747E0-EBA7-4276-9F29-85C5BB300006}' failed due to the following error: No such interface supported (Exception from HRESULT: 0x80004002 (E_NOINTERFACE)). Here's all the code so you can see what I'm doing here without following the above link. TaskSchedulerClass Scheduler = new TaskSchedulerClass(); Scheduler.Connect(null, null, null, null); ITaskDefinition Task = Scheduler.NewTask(0); Task.RegistrationInfo.Author = "Test Task"; Task.RegistrationInfo.Description = "Just testing this out."; ITimeTrigger Trigger = (ITimeTrigger)Task.Triggers.Create(_TASK_TRIGGER_TYPE2.TASK_TRIGGER_DAILY); Trigger.Id = "TestTrigger"; Trigger.StartBoundary = "2010-05-12T06:15:00"; IShowMessageAction Action = (IShowMessageAction)Task.Actions.Create(_TASK_ACTION_TYPE.TASK_ACTION_SHOW_MESSAGE); Action.Id = "TestAction"; Action.Title = "Test Task"; Action.MessageBody = "This is a test."; ITaskFolder Root = Scheduler.GetFolder("\\"); IRegisteredTask RegisteredTask = Root.RegisterTaskDefinition("Background Backup", Task, (int)_TASK_CREATION.TASK_CREATE_OR_UPDATE, null, null, _TASK_LOGON_TYPE.TASK_LOGON_INTERACTIVE_TOKEN, ""); The line that is throwing the exception is this one ITimeTrigger Trigger = (ITimeTrigger)Task.Triggers.Create(_TASK_TRIGGER_TYPE2.TASK_TRIGGER_DAILY); The exception message kinda makes sense to me, but I'm afraid I don't know enough about COM to really know where to begin with this. Also, I should add that I'm using VS 2010 and I had to set the project to either be for x86 or x64 CPU's instead of the usual "Any CPU" because it kept giving me a BadImageFormatException. I doubt that's related to my current problem, but just in case I thought I might as well mention it.

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  • Nonblocking Tcp server

    - by hoodoos
    It's not a question really, i'm just looking for some guidelines :) I'm currently writing some abstract tcp server which should use as low number of threads as it can. Currently it works this way. I have a thread doing listening and some worker threads. Listener thread is just sits and wait for clients to connect I expect to have a single listener thread per server instance. Worker threads are doing all read/write/processing job on clients socket. So my problem is in building efficient worker process. And I came to some problem I can't really solve yet. Worker code is something like that(code is really simple just to show a place where i have my problem): List<Socket> readSockets = new List<Socket>(); List<Socket> writeSockets = new List<Socket>(); List<Socket> errorSockets = new List<Socket>(); while( true ){ Socket.Select( readSockets, writeSockets, errorSockets, 10 ); foreach( readSocket in readSockets ){ // do reading here } foreach( writeSocket in writeSockets ){ // do writing here } // POINT2 and here's the problem i will describe below } it works all smothly accept for 100% CPU utilization because of while loop being cycling all over again, if I have my clients doing send-receive-disconnect routine it's not that painful, but if I try to keep alive doing send-receive-send-receive all over again it really eats up all CPU. So my first idea was to put a sleep there, I check if all sockets have their data send and then putting Thread.Sleep in POINT2 just for 10ms, but this 10ms later on produces a huge delay of that 10ms when I want to receive next command from client socket.. For example if I don't try to "keep alive" commands are being executed within 10-15ms and with keep alive it becomes worse by atleast 10ms :( Maybe it's just a poor architecture? What can be done so my processor won't get 100% utilization and my server to react on something appear in client socket as soon as possible? Maybe somebody can point a good example of nonblocking server and architecture it should maintain?

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  • Linux Kernel programming: trying to get vm_area_struct->vm_start crashes kernel

    - by confusedKid
    Hi, this is for an assignment at school, where I need to determine the size of the processes on the system using a system call. My code is as follows: ... struct task_struct *p; struct vm_area_struct *v; struct mm_struct *m; read_lock(&tasklist_lock); for_each_process(p) { printk("%ld\n", p->pid); m = p->mm; v = m->mmap; long start = v->vm_start; printk("vm_start is %ld\n", start); } read_unlock(&tasklist_lock); ... When I run a user level program that calls this system call, the output that I get is: 1 vm_start is 134512640 2 EIP: 0073:[<0806e352] CPU: 0 Not tainted ESP: 007b:0f7ecf04 EFLAGS: 00010246 Not tainted EAX: 00000000 EBX: 0fc587c0 ECX: 081fbb58 EDX: 00000000 ESI: bf88efe0 EDI: 0f482284 EBP: 0f7ecf10 DS: 007b ES: 007b 081f9bc0: [<08069ae8] show_regs+0xb4/0xb9 081f9bec: [<080587ac] segv+0x225/0x23d 081f9c8c: [<08058582] segv_handler+0x4f/0x54 081f9cac: [<08067453] sig_handler_common_skas+0xb7/0xd4 081f9cd4: [<08064748] sig_handler+0x34/0x44 081f9cec: [<080648b5] handle_signal+0x4c/0x7a 081f9d0c: [<08066227] hard_handler+0xf/0x14 081f9d1c: [<00776420] 0x776420 Kernel panic - not syncing: Kernel mode fault at addr 0x0, ip 0x806e352 EIP: 0073:[<400ea0f2] CPU: 0 Not tainted ESP: 007b:bf88ef9c EFLAGS: 00000246 Not tainted EAX: ffffffda EBX: 00000000 ECX: bf88efc8 EDX: 080483c8 ESI: 00000000 EDI: bf88efe0 EBP: bf88f038 DS: 007b ES: 007b 081f9b28: [<08069ae8] show_regs+0xb4/0xb9 081f9b54: [<08058a1a] panic_exit+0x25/0x3f 081f9b68: [<08084f54] notifier_call_chain+0x21/0x46 081f9b88: [<08084fef] __atomic_notifier_call_chain+0x17/0x19 081f9ba4: [<08085006] atomic_notifier_call_chain+0x15/0x17 081f9bc0: [<0807039a] panic+0x52/0xd8 081f9be0: [<080587ba] segv+0x233/0x23d 081f9c8c: [<08058582] segv_handler+0x4f/0x54 081f9cac: [<08067453] sig_handler_common_skas+0xb7/0xd4 081f9cd4: [<08064748] sig_handler+0x34/0x44 081f9cec: [<080648b5] handle_signal+0x4c/0x7a 081f9d0c: [<08066227] hard_handler+0xf/0x14 081f9d1c: [<00776420] 0x776420 The first process (pid = 1) gave me the vm_start without any problems, but when I try to access the second process, the kernel crashes. Can anyone tell me what's wrong, and maybe how to fix it as well? Thanks a lot! (sorry for the bad formatting....) edit: This is done in a Fedora 2.6 core in an uml environment.

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  • NPTL Default Stack Size Problem

    - by eyazici
    Hello, I am developing a multithread modular application using C programming language and NPTL 2.6. For each plugin, a POSIX thread is created. The problem is each thread has its own stack area, since default stack size depends on user's choice, this may results in huge memory consumption in some cases. To prevent unnecessary memory usage I used something similar to this to change stack size before creating each thread: pthread_attr_t attr; pthread_attr_init (&attr); pthread_attr_getstacksize(&attr, &st1); if(pthread_attr_setstacksize (&attr, MODULE_THREAD_SIZE) != 0) perror("Stack ERR"); pthread_attr_getstacksize(&attr, &st2); printf("OLD:%d, NEW:%d - MIN: %d\n", st1, st2, PTHREAD_STACK_MIN); pthread_attr_setdetachstate(&attr, PTHREAD_CREATE_DETACHED); /* "this" is static data structure that stores plugin related data */ pthread_create(&this->runner, &attr, (void *)(void *)this->run, NULL); EDIT I: pthread_create() section added. This did not work work as I expected, the stack size reported by pthread_attr_getstacksize() is changed but total memory usage of the application (from ps/top/pmap output) did not changed: OLD:10485760, NEW:65536 - MIN: 16384 When I use ulimit -s MY_STACK_SIZE_LIMIT before starting application I achieve the expected result. My questions are: 1-) Is there any portable(between UNIX variants) way to change (default)thread stack size after starting application(before creating thread of course)? 2-) Is it possible to use same stack area for every thread? 3-) Is it possible completely disable stack for threads without much pain?

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  • Make Python Socket Server More Efficient

    - by BenMills
    I have very little experience working with sockets and multithreaded programming so to learn more I decided to see if I could hack together a little python socket server to power a chat room. I ended up getting it working pretty well but then I noticed my server's CPU usage spiked up over 100% when I had it running in the background. Here is my code in full: http://gist.github.com/332132 I know this is a pretty open ended question so besides just helping with my code are there any good articles I could read that could help me learn more about this? My full code: import select import socket import sys import threading from daemon import Daemon class Server: def __init__(self): self.host = '' self.port = 9998 self.backlog = 5 self.size = 1024 self.server = None self.threads = [] self.send_count = 0 def open_socket(self): try: self.server = socket.socket(socket.AF_INET6, socket.SOCK_STREAM) self.server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) self.server.bind((self.host,self.port)) self.server.listen(5) print "Server Started..." except socket.error, (value,message): if self.server: self.server.close() print "Could not open socket: " + message sys.exit(1) def remove_thread(self, t): t.join() def send_to_children(self, msg): self.send_count = 0 for t in self.threads: t.send_msg(msg) print 'Sent to '+str(self.send_count)+" of "+str(len(self.threads)) def run(self): self.open_socket() input = [self.server,sys.stdin] running = 1 while running: inputready,outputready,exceptready = select.select(input,[],[]) for s in inputready: if s == self.server: # handle the server socket c = Client(self.server.accept(), self) c.start() self.threads.append(c) print "Num of clients: "+str(len(self.threads)) self.server.close() for c in self.threads: c.join() class Client(threading.Thread): def __init__(self,(client,address), server): threading.Thread.__init__(self) self.client = client self.address = address self.size = 1024 self.server = server self.running = True def send_msg(self, msg): if self.running: self.client.send(msg) self.server.send_count += 1 def run(self): while self.running: data = self.client.recv(self.size) if data: print data self.server.send_to_children(data) else: self.running = False self.server.threads.remove(self) self.client.close() """ Run Server """ class DaemonServer(Daemon): def run(self): s = Server() s.run() if __name__ == "__main__": d = DaemonServer('/var/servers/fserver.pid') if len(sys.argv) == 2: if 'start' == sys.argv[1]: d.start() elif 'stop' == sys.argv[1]: d.stop() elif 'restart' == sys.argv[1]: d.restart() else: print "Unknown command" sys.exit(2) sys.exit(0) else: print "usage: %s start|stop|restart" % sys.argv[0] sys.exit(2)

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  • What are some Java memory management best practices?

    - by Ascalonian
    I am taking over some applications from a previous developer. When I run the applications through Eclipse, I see the memory usage and the heap size increase a lot. Upon further investigation, I see that they were creating an object over-and-over in a loop as well as other things. I started to go through and do some clean up. But the more I went through, the more questions I had like "will this actually do anything?" For example, instead of declaring a variable outside the loop mentioned above and just setting its value in the loop... they created the object in the loop. What I mean is: for(int i=0; i < arrayOfStuff.size(); i++) { String something = (String) arrayOfStuff.get(i); ... } versus String something = null; for(int i=0; i < arrayOfStuff.size(); i++) { something = (String) arrayOfStuff.get(i); } Am I incorrect to say that the bottom loop is better? Perhaps I am wrong. Also, what about after the second loop above, I set "something" back to null? Would that clear out some memory? In either case, what are some good memory management best practices I could follow that will help keep my memory usage low in my applications? Update: I appreciate everyones feedback so far. However, I was not really asking about the above loops (although by your advice I did go back to the first loop). I am trying to get some best practices that I can keep an eye out for. Something on the lines of "when you are done using a Collection, clear it out". I just really need to make sure not as much memory is being taken up by these applications.

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  • Fast screen capture and lost Vsync

    - by user338759
    Hi, I'd like to generate a movie in real time with a self-made application doing fast screen captures with part of the screen occupied by a running 3D application. I'm aware that several applications already exist for this (like FRAPS or Taksi), and even dedicated DirectShow filters (like UScreenCapture), but i really need to make this with my own external application. When correctly setup (UScreenCapture + ffdshow), capturing an compressing a full screen does not consumes as much CPU as you would expect (about 15%), and does not impairs the performances of the 3D app. The problem of doing a capture from an external application is that the 3D application loses it's Vsync and creates a shaggy, difficult to use 3D application (3D app is only presented on a small part of the screen, the rest being GDI, DirectX) FRAPS solves this problem by allowing you to capture only one application at a time (the one with focus). Depending on the technology used (OpenGl, DirectX, GDI), it hooks the Vsync and does its capture (with glReadPixels,...), without perturbing it. Doing this does not solve my problem, since I want the full composed screen image (including 3D and the rest) AND a smooth 3D app. The UScreenCapture seems to use a fast DirectX call to capture the whole screen, but the openGL 3D app is still out of sync. Doing a BitBlt is too slow and CPU consumming to do real time 30 fps acquisition (at least under windows XP, not sure with 7) My question is to know if there is a way to achieve my goal with Windows 7 and it's brand new DirectX compositing engine? Windows 7 succeeds to show live VSynced duplicated previews of every app (in the taskbar), so there must be a way to access the currenlty displayed screen buffer without perturbing the rendering of the 3D OpenGL app ? Any other suggestion, technology ? thank you

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  • How do I test OpenCL on GPU when logged in remotely on Mac?

    - by Christopher Bruns
    My OpenCL program can find the GPU device when I am logged in at the console, but not when I am logged in remotely with ssh. Further, if I run the program as root in the ssh session, the program can find the GPU. The computer is a Snow Leopard Mac with a GeForce 9400 GPU. If I run the program (see below) from the console or as root, the output is as follows (notice the "GeForce 9400" line): 2 devices found Device #0 name = GeForce 9400 Device #1 name = Intel(R) Core(TM)2 Duo CPU P8700 @ 2.53GHz but if it is just me, over ssh, there is no GeForce 9400 entry: 1 devices found Device #0 name = Intel(R) Core(TM)2 Duo CPU P8700 @ 2.53GHz I would like to test my code on the GPU without having to be root. Is that possible? Simplified GPU finding program below: #include <stdio.h> #include <OpenCL/opencl.h> int main(int argc, char** argv) { char dname[500]; size_t namesize; cl_device_id devices[10]; cl_uint num_devices; int d; clGetDeviceIDs(0, CL_DEVICE_TYPE_ALL, 10, devices, &num_devices); printf("%d devices found\n", num_devices); for (d = 0; d < num_devices; ++d) { clGetDeviceInfo(devices[d], CL_DEVICE_NAME, 500, dname, &namesize); printf("Device #%d name = %s\n", d, dname); } return 0; } EDIT: I found essentially the same question being asked on nvidia's forums. Unfortunately, the only answer was of the form "this is the wrong forum".

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  • How to setup matlabpool for multiple processors?

    - by JohnIdol
    I just setup a Extra Large Heavy Computation EC2 instance to throw it at my Genetic Algorithms problem, hoping to speed up things. This instance has 8 Intel Xeon processors (around 2.4Ghz each) and 7 Gigs of RAM. On my machine I have an Intel Core Duo, and matlab is able to work with my two cores just fine by runinng: matlabpool open 2 On the EC2 instance though, matlab only is capable of detecting 1 out of 8 processors, and if I try running: matlabpool open 8 I get an error saying that the ClusterSize is 1 since there's only 1 core on my CPU. True, there is only 1 core on each CPU, but I have 8 CPUs on the given EC2 instance! So the difference from my machine and the ec2 instance is that I have my 2 cores on a single processor locally, while the EC2 instance has 8 distinct processors. My question is, how do I get matlab to work with those 8 processors? I found this paper, but it seems related to setting up matlab with multiple EC2 instances (not related to multiple processors on the same instance, EC2 or not), which is not my problem. Any help appreciated!

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  • Method for finding memory leak in large Java heap dumps

    - by Rickard von Essen
    I have to find a memory leak in a Java application. I have some experience with this but would like advice on a methodology/strategy for this. Any reference and advice is welcome. About our situation: Heap dumps are larger than 1 GB We have heap dumps from 5 occasions. We don't have any test case to provoke this. It only happens in the (massive) system test environment after at least a weeks usage. The system is built on a internally developed legacy framework with so many design flaws that they are impossible to count them all. Nobody understands the framework in depth. It has been transfered to one guy in India who barely keeps up with answering e-mails. We have done snapshot heap dumps over time and concluded that there is not a single component increasing over time. It is everything that grows slowly. The above points us in the direction that it is the frameworks homegrown ORM system that increases its usage without limits. (This system maps objects to files?! So not really a ORM) Question: What is the methodology that helped you succeed with hunting down leaks in a enterprise scale application?

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  • Static Data Structures on Embedded Devices (Android in particular)

    - by Mark
    I've started working on some Android applications and have a question regarding how people normally deal with situations where you have a static data set and have an application where that data is needed in memory as one of the standard java collections or as an array. In my current specific issue i have a spreadsheet with some pre-calculated data. It consists of ~100 rows and 3 columns. 1 Column is a string, 1 column is a float, 1 column is an integer. I need access to this data as an array in java. It seems like i could: 1) Encode in XML - This would be cpu intensive to decode in my experience. 2) build into SQLite database - seems like a lot of overhead for static access to data i only need array style access to in ram. 3) Build into binary blob and read in. (never done this in java, i miss void *) 4) Build a python script to take the CSV version of my data and spit out a java function that adds the values to my desired structure with hard coded values. 5) Store a string array via androids resource mechanism and compute the other 2 columns on application load. In my case the computation would require a lot of calls to Math.log, Math.pow and Math.floor which i'd rather not have to do for load time and battery usage reasons. I mostly work in low power embedded applications in C and as such #4 is what i'm used to doing in these situations. It just seems like it should be far easier to gain access to static data structures in java/android. Perhaps I'm just being too battery usage conscious and in my single case i imagine the answer is that it doesn't matter much, but if every application took that stance it could begin to matter. What approaches do people usually take in this situation? Anything I missed?

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  • android compile error: could not reserve enough space for object heap

    - by moonlightcheese
    I'm getting this error during compilation: Error occurred during initialization of VM Could not create the Java virtual machine. Could not reserve enough space for object heap What's worse, the error occurs intermittently. Sometimes it happens, sometimes it doesn't. It seems to be dependent on the amount of code in the application. If I get rid of some variables or drop some imported libraries, it will compile. Then when I add more to it, I get the error again. I've included the following sources into the application in the [project_root]/src/ directory: org.apache.httpclient (I've stripped all references to log4j from the sources, so don't need it) org.apache.codec (as a dependency) org.apache.httpcore (dependency of httpclient) and my own activity code consisting of nothing more than an instance of HttpClient. I know this has something to do with the amount of memory necessary during compile time or some compiler options, and I'm not really stressing my system while i'm coding. I've got 2GB of memory on this Core Duo laptop and windows reports only 860MB page file usage (haven't used any other memory tools. I should have plenty of memory and processing power for this... and I'm only compiling some common http libs... total of 406 source files. What gives? edit (4/30/2010-18:24): Just compiled some code where I got the above stated error. I closed some web browser windows and recompiled the same exact code with no edits and it compiled with no issue. this is definitely a compiler issue related to memory usage. Any help would be great.... because I have no idea where to go from here. Android API Level: 5 Android SDK rel 5 JDK version: 1.6.0_12 Sorry I had to repost this question because regardless of whether I use the native HttpClient class in the Android SDK or my custom version downloaded from apache, the error still occurs.

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  • Writing to a log4net FileAppender with multiple threads performance problems

    - by Wayne
    TickZoom is a very high performance app which uses it's own parallelization library and multiple O/S threads for smooth utilization of multi-core computers. The app hits a bottleneck where users need to write information to a LogAppender from separate O/S threads. The FileAppender uses the MinimalLock feature so that each thread can lock and write to the file and then release it for the next thread to write. If MinimalLock gets disabled, log4net reports errors about the file being already locked by another process (thread). A better way for log4net to do this would be to have a single thread that takes care of writing to the FileAppender and any other threads simply add their messages to a queue. In that way, MinimalLock could be disabled to greatly improve performance of logging. Additionally, the application does a lot of CPU intensive work so it will also improve performance to use a separate thread for writing to the file so the CPU never waits on the I/O to complete. So the question is, does log4net already offer this feature? If so, how do you do enable threaded writing to a file? Is there another, more advanced appender, perhaps? If not, then since log4net is already wrapped in the platform, that makes it possible to implement a separate thread and queue for this purpose in the TickZoom code. Sincerely, Wayne

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  • Silverlight 4 seems like starving of memory

    - by Marco
    I have been playing a bit with Silverlight and try to port my Silverlight 3.0 application to Silverlight 4.0. My application loads different XAP files and upon a user request create an instance of a Xaml user control and adds it to the main container, in a sort of MEF approach in order I can have an extensible and pluggable application. The application is pretty huge and to keep acceptable the performances and the initial loading I have built up some helper classes to load in the background all pages and user controls that might be used later on. On Silverlight 3.0 everything was running smoothly without any problem so far. Switching to SL 4.0 I have noticed that when the process approaches to create the instances of the user controls the layout freezes unexpectedly for a minute and sometimes for more. Looking at the task manager the memory usage of IE jumps from 50MB to 400MB and sometimes up to 1.5 GB. If the process won't take that much the layout is rendered properly even though the memory usage is still extremely high. Otherwise everything crashes due to out of memory exception. Running the same application compiled in SL3, the memory used is about 200MB when all the usercontrols are loaded. Time spent to load the application in SL3 is about 10 seconds, while it takes up to 3 mins in SL4 There are no transparencies, no opacities set, no effects and animations in the layout. User controls are instantied on the fly and added or removed in the visual tree on purpose when the user switches from one screen to another. The resources are all cleaned properly when a usercontrol is removed from the visual tree to allow the GC to operate in the background. I may do something wrong but I could not figure out where exactly nail out the source of this problem. As far as I know there is no memory profiler in SL4 that can help me out to find where to look at. But again I could not be updated on new debugging tools available.

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  • Datastore performance, my code or the datastore latency

    - by fredrik
    I had for the last month a bit of a problem with a quite basic datastore query. It involves 2 db.Models with one referring to the other with a db.ReferenceProperty. The problem is that according to the admin logs the request takes about 2-4 seconds to complete. I strip it down to a bare form and a list to display the results. The put works fine, but the get accumulates (in my opinion) way to much cpu time. #The get look like this: outputData['items'] = {} labelsData = Label.all() for label in labelsData: labelItem = label.item.name if labelItem not in outputData['items']: outputData['items'][labelItem] = { 'item' : labelItem, 'labels' : [] } outputData['items'][labelItem]['labels'].append(label.text) path = os.path.join(os.path.dirname(__file__), 'index.html') self.response.out.write(template.render(path, outputData)) #And the models: class Item(db.Model): name = db.StringProperty() class Label(db.Model): text = db.StringProperty() lang = db.StringProperty() item = db.ReferenceProperty(Item) I've tried to make it a number of different way ie. instead of ReferenceProperty storing all Label keys in the Item Model as a db.ListProperty. My test data is just 10 rows in Item and 40 in Label. So my questions: Is it a fools errand to try to optimize this since the high cpu usage is due to the problems with the datastore or have I just screwed up somewhere in the code? ..fredrik

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  • Submitting R jobs using PBS

    - by Tony
    I am submitting a job using qsub that runs parallelized R. My intention is to have R programme running on 4 different cores rather than 8 cores. Here are some of my settings in PBS file: #PBS -l nodes=1:ppn=4 .... time R --no-save < program1.R > program1.log I am issuing the command "ta job_id" and I'm seeing that 4 cores are listed. However, the job occupies a large amount of memory(31944900k used vs 32949628k total). If I were to use 8 cores, the jobs got hang due to memory limitation. top - 21:03:53 up 77 days, 11:54, 0 users, load average: 3.99, 3.75, 3.37 Tasks: 207 total, 5 running, 202 sleeping, 0 stopped, 0 zombie Cpu(s): 30.4%us, 1.6%sy, 0.0%ni, 66.8%id, 0.0%wa, 0.0%hi, 1.2%si, 0.0%st Mem: 32949628k total, 31944900k used, 1004728k free, 269812k buffers Swap: 2097136k total, 8360k used, 2088776k free, 6030856k cached Here is a snapshot when issuing command ta job_id PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1794 x 25 0 6247m 6.0g 1780 R 99.2 19.1 8:14.37 R 1795 x 25 0 6332m 6.1g 1780 R 99.2 19.4 8:14.37 R 1796 x 25 0 6242m 6.0g 1784 R 99.2 19.1 8:14.37 R 1797 x 25 0 6322m 6.1g 1780 R 99.2 19.4 8:14.33 R 1714 x 18 0 65932 1504 1248 S 0.0 0.0 0:00.00 bash 1761 x 18 0 63840 1244 1052 S 0.0 0.0 0:00.00 20016.hpc 1783 x 18 0 133m 7096 1128 S 0.0 0.0 0:00.00 python 1786 x 18 0 137m 46m 2688 S 0.0 0.1 0:02.06 R How can I prevent other users to use the other 4 cores? I like to mask somehow that my job is using 8 cores with 4 cores idling. Could anyone kindly help me out on this? Can this be solved using pbs? Many Thanks

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  • Problem: Vectorizing Code with Intel Visual FORTRAN for X64

    - by user313209
    I'm compiling my fortran90 code using Intel Visual FORTRAN on Windows Server 2003 Enterprise X64 Edition. When I compile the code for 32 bit structure and using automatic and manual vectorizing options. The code will be compiled, vectorized. And when I run it on 8 core system the compiled code uses 70% of CPU that shows me that vectorizing is working. But when I compile the code with 64 Bit compiler, it says that the code is vectorized but when I run it it only shows CPU usage of about 12% that is full usage for one core out of 8, so it means that while the compiler says that code is vectorized, vectorization is not working. And it's strange for me because it's on a X64 Edition Windows and I was expecting to see the reverse result. I thought that it should be better to run a code that is compiled for 64 Bit architecture on a 64 bit windows. Anyone have any idea why the compiled code is not able to use the full power of multiple cores for 64 Bit Compiled version? Thanks in advance for your responses.

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  • Delphi, PGDac vs Zeos, Fetch, Lookup?

    - by durumdara
    Hi! I used Zeos to test to know: is ZTable uses fetch technics, or not? May in the future we migrate our lesser system to PGSQL, and this used now "Table" components (as BDE, but it have an SQL-like server). These tables use real cursors, a "Window" with N record, so lookup is very fast, because the Locate/Lookup is started on server, and only these N records are refreshed, no matter, how many records in the lookup table. PGSQL uses fetch technics as I know, and I tested it with a table (id int, name varchar(100)), and 1 million records. (I also trying this with mysql). The adapter is Zeos. ID, sec to find, allocated memory in bytes on client. MySQL 500000 2,761 113 196 344 1000000 3,214 225 471 232 313800 0,437 225 471 232 328066 0,468 225 471 232 276374 0,390 225 471 232 905984 1,264 225 471 232 260253 0,359 225 471 232 PGSQL 500000 3,042 113 188 184 1000000 3,744 225 463 064 313800 0,436 225 463 064 328066 0,452 225 463 064 276374 0,375 225 463 064 905984 1,295 225 463 064 260253 0,359 225 463 064 142023 0,203 225 463 064 As you see the records are fetched locally, this cause the 225 MB usage, and searches are slow a little, based where is the record we must find. I want to ask more things: a.) Is PGDAC have some technics to we can use the lookups without pay the fetch with memory and secs? b.) Or is PG ODBC driver can help in this problem with ADO? (As I know ADO can use server side cursors)? c.) Have anybody some experience with lookup tables, and performance? Is this critical question or it is not? (With client memory usage too). d.) If no chance to avoid fetch hell with lookups, what we can do? Server Side Joins, and unique code for Lookup field changing without real Lookup? Thanks for your help: dd

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  • Google App Engine - Caching generated HTML

    - by Alexander
    I have written a Google App Engine application that programatically generates a bunch of HTML code that is really the same output for each user who logs into my system, and I know that this is going to be in-efficient when the code goes into production. So, I am trying to figure out the best way to cache the generated pages. The most probable option is to generate the pages and write them into the database, and then check the time of the database put operation for a given page against the time that the code was last updated. Then, if the code is newer than the last put to the database (for a particular HTML request), new HTML will be generated and served, and cached to the database. If the code is older than the last put to the database, then I will just get the HTML direct from the database and serve it (therefore avoiding all the CPU wastage of generating the HTML). I am not only looking to minimize load times, but to minimize CPU usage. However, one issue that I am having is that I can't figure out how to programatically check when the version of code uploaded to the app engine was updated. I am open to any suggestions on this approach, or other approaches for caching generated html. Note that while memcache could help in this situation, I believe that it is not the final solution since I really only need to re-generate html when the code is updated (as opposed to every time the memcache expires). Kind Regards, and thank you in advance for any suggestions you may be able to offer. -Alex

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  • Why does the same Getopt::Long code work differently in different programs?

    - by ennuikiller
    The following code works in one script yet in another only works if a specify the -- end of options flag before specifying an option: my $opt; GetOptions( 'help|h' => sub { usage("you want help?? hahaha, hopefully you're not serious!!"); }, 'file|f=s' => \$opt->{FILE}, 'report|r' => \$opt->{REPORT}, ) or usage("Bad Options"); In other words, the same code words in good.pl and bad.pl like so: good.pl -f bad.pl -- -f If I try bad.pl -f I get unknown option:f. Anyone have any clue as to what can cause this behavior? Thanks in advance! I've solved this..... and btw it's a VERY clear question (so why the downvotes)? I'll state it again: What would cause the identical GetOptions block to work in these 2 ways: "good.pl -f" "bad.pl -- -f" see how clear? Maybe you guys should think about it as if it were a TEST!

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  • iphone localization

    - by hardik
    hello all when i run the command to generate Localizable.string file from my terminal it says me bad entry in to the classes file the file gets generated but it has no entry in it infact it should have entry in it. Here is what i am running in my terminal but somehow it is not happening please guide me need to solve this Last login: Mon Jun 7 18:02:09 on ttys000 comp10:~ admin$ cd .. comp10:Users admin$ cd .. comp10:/ admin$ cd /Users/admin/Desktop/localisationwithcode comp10:localisationwithcode admin$ sudo usage: sudo -K | -L | -V | -h | -k | -l | -v usage: sudo [-HPSb] [-p prompt] [-u username|#uid] { -e file [...] | -i | -s | <command> } comp10:localisationwithcode admin$ genstrings Classes/*.m Bad entry in file Classes/localisationwithcodeViewController.m (line = 35): Argument is not a literal string. Bad entry in file Classes/localisationwithcodeViewController.m (line = 36): Argument is not a literal string. Bad entry in file Classes/localisationwithcodeViewController.m (line = 37): Argument is not a literal string. Bad entry in file Classes/localisationwithcodeViewController.m (line = 38): Argument is not a literal string. 2010-06-07 18:04:45.047 genstrings[3851:10b] _CFGetHostUUIDString: unable to determine UUID for host. Error: 35 comp10:localisationwithcode admin$

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  • How To Find Reasons of Why Site Goes Online/Offline

    - by HollerTrain
    Seems today a website I manage has been going online and offline throughout the entire day. I have no idea what is causing the issue so I am seeking guidance on where to start. It is a Wordpress based site. So here is what I DO know: I use a program that pings the server every minute and when the server is not responding me it emails me, so I can know exactly when the site is online and offline. The site between 8pm to 12pm 12.28, and around the 1a hour early morning 12.29 (New York City timezone, and all times below are in same timezone). At the time of the ups/downs I see a lot of strain on the memory usage. Look at the load average when the site is going online/offline (http://screencast.com/t/BRlfXkqrbJII). Then I ran this command to restart http (http://screencast.com/t/usVtYWZ2Qi) and the memory usage then goes down to this (http://screencast.com/t/VdTIy3bgZiQB). An hour after I restarted http, the site then went offline/online so restarting the http didn't do much help. When the site is going offline/online, I ran the top command and get this (http://screencast.com/t/zEwr7YQj3). Here is a top command when the site is at it's lowest (http://screencast.com/t/eaMfha9lbT - so this would be dubbged "normal"). Here is a bandwidth report (http://screencast.com/t/AS0h2CH1Gypq). The traffic doesn't seem to be that much (http://screencast.com/t/s7hrWNNic1K), but looking at my times the site is going up/down this may be one of the reasons? I have the dvp Nitro package at Media Temple (http://mediatemple.net/webhosting/nitro/). So at this point I would request some help in trying to figure out what the cause of this is, and how I can go about pinpointing this issue. ANY HELP is greatly appreciated.

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  • Directly call distutils' or setuptools' setup() function with command name/options, without parsing

    - by Ryan B. Lynch
    I'd like to call Python's distutils' or setuptools' setup() function in a slightly unconventional way, but I'm not sure whether distutils is meant for this kind of usage. As an example, let's say I currently have a 'setup.py' file, which looks like this (lifted verbatim from the distutils docs--the setuptools usage is almost identical): from distutils.core import setup setup(name='Distutils', version='1.0', description='Python Distribution Utilities', author='Greg Ward', author_email='[email protected]', url='http://www.python.org/sigs/distutils-sig/', packages=['distutils', 'distutils.command'], ) Normally, to build just the .spec file for an RPM of this module, I could run python setup.py bdist_rpm --spec-only, which parses the command line and calls the 'bdist_rpm' code to handle the RPM-specific stuff. The .spec file ends up in './dist'. How can I change my setup() invocation so that it runs the 'bdist_rpm' command with the '--spec-only' option, WITHOUT parsing command-line parameters? Can I pass the command name and options as parameters to setup()? Or can I manually construct a command line, and pass that as a parameter, instead? NOTE: I already know that I could call the script in a separate process, with an actual command line, using os.system() or the subprocess module or something similar. I'm trying to avoid using any kind of external command invocations. I'm looking specifically for a solution that runs setup() in the current interpreter. For background, I'm converting some release-management shell scripts into a single Python program. One of the tasks is running 'setup.py' to generate a .spec file for further pre-release testing. Running 'setup.py' as an external command, with its own command line options, seems like an awkward method, and it complicates the rest of the program. I feel like there may be a more Pythonic way.

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