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  • C++ object in memory

    - by Neo_b
    Hello. Is there a standard in storing a C++ objects in memory? I wish to set a char* pointer to a certain address in memory, so that I can read certain objects' variables directly from the memory byte by byte. When I am using Dev C++, the variables are stored one by one right in the memory address of an object in the order that they were defined. Now, can it be different while using a different compiler (like the variables being in a different order, or somewhere else)? Thank you in advance. :-)

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  • Effect of suffixes in memory operations

    - by tur1ng
    In x86 GNU Assembler there are different suffixes for memory related operations. E.g.: movb, movs, movw, movl, movq, movt(?) Now my question is the following: Does the suffix has ANY effect on how the processor is getting the data out of main memory or will always be one or more 32-bit (x86) chunks loaded into the cache ? What are the effects beside the memory access?

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  • C++ Reserve Memory Space

    - by uray
    is there any way to reserve memory space to be used later by default Windows Memory Manager so that my application won't run out of memory if my program don't use space more than I have reserved at start of my program?

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  • Handling out of memory errors in iPhone

    - by hgpc
    I would like to handle out of memory errors in iPhone to execute logic with lesser memory requirements in case I run of of memory. In particular, I would like to do something very similar to the followin pseudo-code: UIImage* image; try { image = [UIImage imageNamed:@"high_quality_image.png"]; } catch (OutOfMemoryException e) { image = [UIImage imageNamed:@"low_quality_image.jpg"]; } First I attempt to load a high-quality image, and if I run out of memory while doing it, then I use a lower quality image. Would this be possible?

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  • Google Chrome && (cache || memory leaks).

    - by Alexey Ogarkov
    Hello All, I have a big problem with Google Chrome and its memory. My app is displaying to user several image charts and reloads them every 10s. In the interval i have code like that var image = new Image(); var src = 'myurl/image'+new Date().getTime(); image.onload = function() { document.getElementById('myimage').src = src; image.onload = image.onabort = image.onerror = null; } image.src = src; So i have no memory leaks in Firefox and IE. Here the response headers for images Server Apache-Coyote/1.1 Vary * Cache-Control no-store (// I try no-cache, must-revalidate and so on here) Content-Type image/png Content-Length 11131 Date Mon, 31 May 2010 14:00:28 GMT Vary * taken from here In about:cache page there is no my cached images. If i enable purge-memory-button for chrome (--purge-memory-button parameter) it`s not help. Images is in PNG24. So i think that the problem is not in cache. May be Google Chrome is not releasing memory for old images. Please help. Any suggestions. Thanks.

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  • iPhone real memory climbs when interacting with UI

    - by Scott Gress
    I've been using the Activity Monitor to check the memory usage of my iPhone apps. I've noticed that the Real Memory climbs whenever I interact with the UI in any way, even if there's no code being called. For example, I can create a brand new View-Based application and run it, and as I click or drag in the empty window the Real Memory increases even though the app isn't responding in any way. I get that the view controller is doing some stuff in the background to interpret my interactions, but it seems like the memory should go back down after a second or so. Instead, it keeps going up and up and up as long as I keep clicking or dragging. I can wait forever and it never decreases. This is a little disturbing. Am I missing something?

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  • Diagnosing Solaris 8 server memory and swap space usage

    - by datSilencer
    Hello everyone. Essentially, my question is related to memory allocation for Solaris virtual machines. I am running a couple of old Sun ONE 6 Java web servers on two Solaris 8 virtual machines. I see that there's a reasonable amount of swap space being used, but I'm not exactly sure if this could indicate a need to add more RAM to these machines. At service peak hours (mornings usually), the response time of the web application these servers host jumps up to at most 11 seconds (somewhat detrimental for a relatively simple web page loading action). Average response time at non peak times is about 5 seconds. What would you be able to infer about the RAM usage for these machines from the ouput below? Is this information reasonably sufficient? Or would I need to run some other commands to rule out server memory starvation? Finally, since there is a Java application at the core of the setup, I've also thought about: 1) Trace the heap's Object allocation to detect potential memory leaks. 2) Do some performance profiling to see if this instead related to networking delays. I mention this since the application talks with a single Oracle Database, but I would doubt this to be the case since they're pretty close from a network segmentation perspective. I appreciate any kind of insight and feedback you could provide. Thanks for your time and help. Server 1: 40 processes: 38 sleeping, 1 zombie, 1 on cpu CPU states: 99.1% idle, 0.4% user, 0.4% kernel, 0.0% iowait, 0.0% swap Memory: 2048M real, 295M free, 865M swap in use, 3788M swap free PID USERNAME THR PRI NICE SIZE RES STATE TIME CPU COMMAND 12676 webservd 112 29 10 616M 242M sleep 103:37 0.48% webservd 18317 root 1 59 0 23M 19M sleep 67:24 0.08% perl 9479 support 1 59 0 6696K 2448K cpu/1 0:11 0.05% top 8012 root 10 59 0 34M 704K sleep 80:54 0.04% java 1881 root 33 29 10 110M 13M sleep 33:03 0.02% webservd 7808 root 1 59 0 83M 67M sleep 7:59 0.00% perl 1461 root 20 59 0 5328K 1392K sleep 6:49 0.00% syslogd 1691 root 2 59 0 27M 680K sleep 4:22 0.00% webservd 24386 root 1 59 0 15M 11M sleep 2:50 0.00% perl 23259 root 1 59 0 11M 4240K sleep 2:42 0.00% perl 24718 root 1 59 0 11M 5464K sleep 2:29 0.00% perl 22810 root 1 59 0 19M 11M sleep 2:21 0.00% perl 24451 root 1 53 2 11M 3800K sleep 2:18 0.00% perl 18501 root 1 56 1 11M 3960K sleep 2:18 0.00% perl 14450 root 1 56 1 15M 6920K sleep 1:49 0.00% perl Server 2 42 processes: 40 sleeping, 1 zombie, 1 on cpu CPU states: 98.8% idle, 0.4% user, 0.8% kernel, 0.0% iowait, 0.0% swap Memory: 1024M real, 31M free, 554M swap in use, 3696M swap free PID USERNAME THR PRI NICE SIZE RES STATE TIME CPU COMMAND 5607 webservd 74 29 10 284M 173M sleep 20:14 0.21% webservd 15919 support 1 59 0 4056K 2520K cpu/1 0:08 0.09% top 13138 root 10 59 0 34M 1952K sleep 210:51 0.08% java 13753 root 1 59 0 22M 12M sleep 170:15 0.07% perl 22979 root 33 29 10 112M 7864K sleep 85:07 0.04% webservd 22930 root 1 59 0 3424K 1552K sleep 17:47 0.01% xntpd 22978 root 2 59 0 27M 2296K sleep 10:49 0.00% webservd 13571 root 1 59 0 9400K 5112K sleep 5:52 0.00% perl 5606 root 2 29 10 29M 9056K sleep 0:36 0.00% webservd 15910 support 1 59 0 9128K 2616K sleep 0:00 0.00% sshd 13106 root 1 59 0 82M 3520K sleep 7:47 0.00% perl 13547 root 1 59 0 12M 5528K sleep 6:38 0.00% perl 13518 root 1 59 0 9336K 3792K sleep 6:24 0.00% perl 13399 root 1 56 1 8072K 3616K sleep 5:18 0.00% perl 13557 root 1 53 2 8248K 3624K sleep 5:12 0.00% perl

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  • AMD 24 core server memory bandwidth

    - by ntherning
    I need some help to determine whether the memory bandwidth I'm seeing under Linux on my server is normal or not. Here's the server spec: HP ProLiant DL165 G7 2x AMD Opteron 6164 HE 12-Core 40 GB RAM (10 x 4GB DDR1333) Debian 6.0 Using mbw on this server I get the following numbers: foo1:~# mbw -n 3 1024 Long uses 8 bytes. Allocating 2*134217728 elements = 2147483648 bytes of memory. Using 262144 bytes as blocks for memcpy block copy test. Getting down to business... Doing 3 runs per test. 0 Method: MEMCPY Elapsed: 0.58047 MiB: 1024.00000 Copy: 1764.082 MiB/s 1 Method: MEMCPY Elapsed: 0.58012 MiB: 1024.00000 Copy: 1765.152 MiB/s 2 Method: MEMCPY Elapsed: 0.58010 MiB: 1024.00000 Copy: 1765.201 MiB/s AVG Method: MEMCPY Elapsed: 0.58023 MiB: 1024.00000 Copy: 1764.811 MiB/s 0 Method: DUMB Elapsed: 0.36174 MiB: 1024.00000 Copy: 2830.778 MiB/s 1 Method: DUMB Elapsed: 0.35869 MiB: 1024.00000 Copy: 2854.817 MiB/s 2 Method: DUMB Elapsed: 0.35848 MiB: 1024.00000 Copy: 2856.481 MiB/s AVG Method: DUMB Elapsed: 0.35964 MiB: 1024.00000 Copy: 2847.310 MiB/s 0 Method: MCBLOCK Elapsed: 0.23546 MiB: 1024.00000 Copy: 4348.860 MiB/s 1 Method: MCBLOCK Elapsed: 0.23544 MiB: 1024.00000 Copy: 4349.230 MiB/s 2 Method: MCBLOCK Elapsed: 0.23544 MiB: 1024.00000 Copy: 4349.359 MiB/s AVG Method: MCBLOCK Elapsed: 0.23545 MiB: 1024.00000 Copy: 4349.149 MiB/s On one of my other servers (based on Intel Xeon E3-1270): foo2:~# mbw -n 3 1024 Long uses 8 bytes. Allocating 2*134217728 elements = 2147483648 bytes of memory. Using 262144 bytes as blocks for memcpy block copy test. Getting down to business... Doing 3 runs per test. 0 Method: MEMCPY Elapsed: 0.18960 MiB: 1024.00000 Copy: 5400.901 MiB/s 1 Method: MEMCPY Elapsed: 0.18922 MiB: 1024.00000 Copy: 5411.690 MiB/s 2 Method: MEMCPY Elapsed: 0.18944 MiB: 1024.00000 Copy: 5405.491 MiB/s AVG Method: MEMCPY Elapsed: 0.18942 MiB: 1024.00000 Copy: 5406.024 MiB/s 0 Method: DUMB Elapsed: 0.14838 MiB: 1024.00000 Copy: 6901.200 MiB/s 1 Method: DUMB Elapsed: 0.14818 MiB: 1024.00000 Copy: 6910.561 MiB/s 2 Method: DUMB Elapsed: 0.14820 MiB: 1024.00000 Copy: 6909.628 MiB/s AVG Method: DUMB Elapsed: 0.14825 MiB: 1024.00000 Copy: 6907.127 MiB/s 0 Method: MCBLOCK Elapsed: 0.04362 MiB: 1024.00000 Copy: 23477.623 MiB/s 1 Method: MCBLOCK Elapsed: 0.04262 MiB: 1024.00000 Copy: 24025.151 MiB/s 2 Method: MCBLOCK Elapsed: 0.04258 MiB: 1024.00000 Copy: 24048.849 MiB/s AVG Method: MCBLOCK Elapsed: 0.04294 MiB: 1024.00000 Copy: 23847.599 MiB/s For reference here's what I get on my Intel based laptop: laptop:~$ mbw -n 3 1024 Long uses 8 bytes. Allocating 2*134217728 elements = 2147483648 bytes of memory. Using 262144 bytes as blocks for memcpy block copy test. Getting down to business... Doing 3 runs per test. 0 Method: MEMCPY Elapsed: 0.40566 MiB: 1024.00000 Copy: 2524.269 MiB/s 1 Method: MEMCPY Elapsed: 0.38458 MiB: 1024.00000 Copy: 2662.638 MiB/s 2 Method: MEMCPY Elapsed: 0.38876 MiB: 1024.00000 Copy: 2634.043 MiB/s AVG Method: MEMCPY Elapsed: 0.39300 MiB: 1024.00000 Copy: 2605.600 MiB/s 0 Method: DUMB Elapsed: 0.30707 MiB: 1024.00000 Copy: 3334.745 MiB/s 1 Method: DUMB Elapsed: 0.30425 MiB: 1024.00000 Copy: 3365.653 MiB/s 2 Method: DUMB Elapsed: 0.30342 MiB: 1024.00000 Copy: 3374.849 MiB/s AVG Method: DUMB Elapsed: 0.30491 MiB: 1024.00000 Copy: 3358.328 MiB/s 0 Method: MCBLOCK Elapsed: 0.07875 MiB: 1024.00000 Copy: 13003.670 MiB/s 1 Method: MCBLOCK Elapsed: 0.08374 MiB: 1024.00000 Copy: 12228.034 MiB/s 2 Method: MCBLOCK Elapsed: 0.07635 MiB: 1024.00000 Copy: 13411.216 MiB/s AVG Method: MCBLOCK Elapsed: 0.07961 MiB: 1024.00000 Copy: 12862.006 MiB/s So according to mbw my laptop is 3 times faster than the server!!! Please help me explain this. I've also tried to mount a ram disk and use dd to benchmark it and I get similar differences so I don't think mbw is to blame. I've checked the BIOS settings and the memory seem to be running at full speed. According to the hosting company the modules are all OK. Could this have something to do with NUMA? It seems like Node Interleaving is disabled on this server. Will enabling it (thus turning off NUMA) make a difference? foo1:~# numactl --hardware available: 4 nodes (0-3) node 0 cpus: 0 1 2 3 4 5 node 0 size: 8190 MB node 0 free: 7898 MB node 1 cpus: 6 7 8 9 10 11 node 1 size: 12288 MB node 1 free: 12073 MB node 2 cpus: 18 19 20 21 22 23 node 2 size: 12288 MB node 2 free: 12034 MB node 3 cpus: 12 13 14 15 16 17 node 3 size: 8192 MB node 3 free: 8032 MB node distances: node 0 1 2 3 0: 10 20 20 20 1: 20 10 20 20 2: 20 20 10 20 3: 20 20 20 10

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  • Why is my Pre to Postfix code not working?

    - by Anthony Glyadchenko
    For a class assignment, I have to use two stacks in C++ to make an equation to be converted to its left to right equivalent: 2+4*(3+4*8) -- 35*4+2 -- 142 Here is the main code: #include <iostream> #include <cstring> #include "ctStack.h" using namespace std; int main (int argc, char * const argv[]) { string expression = "2+4*2"; ctstack *output = new ctstack(expression.length()); ctstack *stack = new ctstack(expression.length()); bool previousIsANum = false; for(int i = 0; i < expression.length(); i++){ switch (expression[i]){ case '(': previousIsANum = false; stack->cmstackPush(expression[i]); break; case ')': previousIsANum = false; char x; while (x != '('){ stack->cmstackPop(x); output->cmstackPush(x); } break; case '0': case '1': case '2': case '3': case '4': case '5': case '6': case '7': case '8': case '9': cout << "A number" << endl; previousIsANum = true; output->cmstackPush(expression[i]); break; case '+': previousIsANum = false; cout << "+" << endl; break; case '-': previousIsANum = false; cout << "-" << endl; break; case '*': previousIsANum = false; cout << "*" << endl; break; case '/': previousIsANum = false; cout << "/" << endl; break; default: break; } } char i = ' '; while (stack->ltopOfStack > 0){ stack->cmstackPop(i); output->cmstackPush(i); cout << i << endl; } return 0; } Here is the stack code (watch out!): #include <cstdio> #include <assert.h> #include <new.h> #include <stdlib.h> #include <iostream> class ctstack { private: long* lpstack ; // the stack itself long ltrue ; // constructor sets to 1 long lfalse ; // constructor sets to 0 // offset to top of the stack long lmaxEleInStack ; // maximum possible elements of stack public: long ltopOfStack ; ctstack ( long lnbrOfEleToAllocInStack ) { // Constructor lfalse = 0 ; // set to zero ltrue = 1 ; // set to one assert ( lnbrOfEleToAllocInStack > 0 ) ; // assure positive argument ltopOfStack = -1 ; // ltopOfStack is really an index lmaxEleInStack = lnbrOfEleToAllocInStack ; // set lmaxEleInStack to max ele lpstack = new long [ lmaxEleInStack ] ; // allocate stack assert ( lpstack ) ; // assure new succeeded } ~ctstack ( ) { // Destructor delete [ ] lpstack ; // Delete the stack itself } ctstack& operator= ( const ctstack& ctoriginStack) { // Assignment if ( this == &ctoriginStack ) // verify x not assigned to x return *this ; if ( this -> lmaxEleInStack < ctoriginStack . lmaxEleInStack ) { // if destination stack is smaller than delete [ ] this -> lpstack ; // original stack, delete dest and alloc this -> lpstack = // sufficient memory new long [ ctoriginStack . lmaxEleInStack ] ; assert ( this -> lpstack ) ; // assure new succeeded // reset stack size attribute this -> lmaxEleInStack = ctoriginStack . lmaxEleInStack ; } // copy original to destination stack for ( long i = 0 ; i < ctoriginStack . lmaxEleInStack ; i ++ ) *( this -> lpstack + i ) = *( ctoriginStack . lpstack + i ) ; this -> ltopOfStack = ctoriginStack . ltopOfStack ; // reset stack position attribute return *this ; } long cmstackPush (char lplaceInStack ) { // Push Method if ( ltopOfStack == lmaxEleInStack - 1 ) // stack is full can't add element return lfalse ; ltopOfStack ++ ; // acquire free slot *(lpstack + ltopOfStack ) = lplaceInStack ; // add element return ltrue ; // any number other than zero is true } long cmstackPop (char& lretrievedStackEle ) { // Pop Method if ( ltopOfStack < 0 ) { // stack has no elements lretrievedStackEle = -1 ; // dummy element return lfalse ; } lretrievedStackEle = *( lpstack + ltopOfStack ) ; // stack has element -- return it ltopOfStack -- ; // stack is pop'd return ltrue ; // any number other than zero is true } long cmstackLookAtTop (char& lretrievedStackEle ) { // Pop Method if ( ltopOfStack < 0 ) { // stack has no elements lretrievedStackEle = -1 ; // dummy element return lfalse ; } lretrievedStackEle = *( lpstack + ltopOfStack ) ; // stack has element -- return it return ltrue ; // any number other than zero is true } long cmstackHasAnEle (char& lretrievedTopOfStack ) { // Has element method lretrievedTopOfStack = ltopOfStack ; return ltopOfStack < 0 ? lfalse : ltrue ; // 0 - false stack does not have any ele } // 1 - true stack has at least one element long cmstackMaxNbrOfEle (char& lretrievedMaxStackEle ) { // Maximum element method lretrievedMaxStackEle = lmaxEleInStack ; // return stack size in reference var return ltrue ; // Return Maximum Size of Stack } } ; Thanks, Anthony.

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  • Setting up SQL Server 2005 to use all available memory in 32bit Windows Server 2003 - and verifying

    - by Rizwan Kassim
    There are a number of questions along this line - but they either sometimes contradict each other, or don't show how to properly verify that everything is actually working - hopefully this can be comprehensive... I'm running SQL Server 2005 SP3 Standard on Windows Server 2003 R2 Standard. My server has 8GB of memory installed - my system is almost entirely used as a Database Server - there are some services running on them, but the OS + services can run within 1Gb of RAM. What I've done (please tell me if I'm doing something wrong): /3GB in the boot.ini. (To increase the amount of user-space memory available - info) /PAE in the boot.ini. (Windows claimed to be doing PAE even without this switch, somethow.) Enabled AWE in SQL Server. Enabled Lock Pages in Memory Option for users SYSTEM and Local Service. (info). SQL Server Standard doesn't seem to use this until Cumulative Update 4, which isn't installed on my server. (info) Set Min/Max Memory to : 1024Mb/5112Mb After doing all the above, we definately saw a level of improvement - but I'd like now to verify my settings, make sure that I'm making full use of the memory available. (There appeared to be a slowdown when max = 7Gb, so I edged off from that value, but it might have been just perceptual.) To verify, I checked the following levels in PerfMon : Process(sqlserv):Working Set : 76386304 SQL Server(Memory Manager) : Total Server Memory : 3538944 (I saw a doc that noted that this wasn't the full memory used by SQL Server, so I'm not sure whether to trust it) So -- my questions... Should my max be around 7Gb? If not, what should it be? Why is total server memory at 3.5G, when it's been allocated 5G? What is the proper metric for the amount of memory allocated to SQL Server? The Working Set seems a bit large... Am I possibly missing any steps in the setup? Any recommended resources on starting to tune the caching system now? Thanks

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  • Problems with Android Fragment back stack

    - by DexterMoon
    I've got a massive problem with the way the android fragment backstack seems to work and would be most grateful for any help that is offered. Imagine you have 3 Fragments [1] [2] [3] I want the user to be able to navigate [1] > [2] > [3] but on the way back (pressing back button) [3] > [1]. As I would have imagined this would be accomplished by not calling addToBackStack(..) when creating the transaction that brings fragment [2] into the fragment holder defined in XML. The reality of this seems as though that if I dont want [2] to appear again when user presses back button on [3], I must not call addToBackStack in the transaction that shows fragment [3]. This seems completely counter-intuitive (perhaps coming from the iOS world). Anyway if i do it this way, when I go from [1] > [2] and press back I arrive back at [1] as expected. If I go [1] > [2] > [3] and then press back I jump back to [1] (as expected). Now the strange behavior happens when I try and jump to [2] again from [1]. First of all [3] is briefly displayed before [2] comes into view. If I press back at this point [3] is displayed, and if I press back once again the app exits. Can anyone help me to understand whats going on here? And here is the layout xml file for my main activity: <?xml version="1.0" encoding="utf-8"?> <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android" android:layout_width="fill_parent" android:layout_height="fill_parent" android:orientation="vertical" > <fragment android:id="@+id/headerFragment" android:layout_width="match_parent" android:layout_height="wrap_content" class="com.fragment_test.FragmentControls" > <!-- Preview: layout=@layout/details --> </fragment> <FrameLayout android:id="@+id/detailFragment" android:layout_width="match_parent" android:layout_height="fill_parent" /> Update This is the code I'm using to build by nav heirarchy Fragment frag; FragmentTransaction transaction; //Create The first fragment [1], add it to the view, BUT Dont add the transaction to the backstack frag = new Fragment1(); transaction = getSupportFragmentManager().beginTransaction(); transaction.replace(R.id.detailFragment, frag); transaction.commit(); //Create the second [2] fragment, add it to the view and add the transaction that replaces the first fragment to the backstack frag = new Fragment2(); transaction = getSupportFragmentManager().beginTransaction(); transaction.replace(R.id.detailFragment, frag); transaction.addToBackStack(null); transaction.commit(); //Create third fragment frag = new Fragment3(); transaction = getSupportFragmentManager().beginTransaction(); transaction.replace(R.id.detailFragment, frag); transaction.commit(); //END OF SETUP CODE------------------------- //NOW: //Press back once and then issue the following code: frag = new Fragment2(); transaction = getSupportFragmentManager().beginTransaction(); transaction.replace(R.id.detailFragment, frag); transaction.addToBackStack(null); transaction.commit(); //Now press back again and you end up at fragment [3] not [1] Many thanks

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  • Does the speed of memory define its voltage?

    - by Zak
    What I'm asking here is, if I order PC3200 memory is it all going to be 1.8V, or will some be 2.5, some 1.8, etc... I don't mean variation within a specific part #, but rather across part numbers, is there a variation where some PC 3200 memory would be incompatible with others because it is 2.5 v 1.8V .

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  • Avoid linux out-of-memory application teardown

    - by Eddie Parker
    I'm finding that on occasion my Linux box runs out of memory and it starts tearing down random processes to deal with it. I'm curious what administrators do to avoid this? Is the only real solution to up the amount of memory (will upping the swap alone help?), or is there better ways to set up the box with software to avoid this? (i.e., quotas, or some such?). I'd appreciate some feedback. Cheers, -e-

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  • Why does my SQL Server use AWE memory? and why is this not visible in RAMMap?

    - by Marnix Klooster
    We have a Windows Server 2008 R2 (64-bit) 8GB server where, according to Sysinternals RAMMap, 2GB of memory is allocated using AWE. As far as I understood, this means that these pages stay in physical memory and are never pushed out. This causes other apps to be pushed out of physical memory. In RAMMap, on the Physical Pages tab, the Process column is empty for all of the AWE pages. We run SQL Server on that box, but (through SQL Server Management Studio, under Server Properties - Memory, under Server memory options) it says is configured not to use AWE. However, when stopping SQL Server, the AWE pages are suddenly gone. So it really is the culprit. So I have three questions: Why does RAMMap not know/show that a SQL Server process is responsible for that AWE memory? Why does SQL Server Management Studio say that AWE memory is not used? How do we make configure SQL Server to really not use AWE memory?

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  • Graphing process memory usage on Linux

    - by syrenity
    Hi. I'm trying to diagnose a memory leak in a process, and looking for a tool to graph it's memory usage over time. Is there any tool on Linux that supports diagramming in form similar to Windows PerfMon? I tried using IBM virtual assistant, but it works only on 32-bit, while I have 64-bit platform. Thanks.

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  • Apache heavy load VIRT vs RES memory

    - by pako
    I have a Debian 5 server, which gets a lot of traffic. Right now the server has 4 GB of RAM and no swap memory. I see in top that Apache processes consume roughly 180 MB virtual memory (VIRT) each, and 16 MB of real RAM (RES). So how many Apache threads can I have running at the same time? About 4 GB / 180 MB = 22 or 4 GB / 16 MB = 256?

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  • How to test video card memory

    - by oki
    I want to test the memory of my video card because lastly there are vertical lines on my screen. I do some basic troubleshoot and it seems that the problem is in video card. Therefore, I want to validate the error at the video card by using a video card memory test program. I find one that is used for nvidia card with CUDA support, but my card is Nvidia GeForce 7600 without CUDA support.

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  • Ubuntu 9.10 server requires frequent reboots to free up memory

    - by bcmcfc
    I'm running Ubuntu 9.10 on my server. It works fine, it's just that over time (usually a couple of days) the memory usage just grows and grows until it invariably runs out and needs to be rebooted. It's running Apache, Samba, ProFTPd, Postfix, Munin & Webmin. Is there anything that can be done to free up the memory that it doesn't need anymore?

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