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  • Protecting an Application's Memory From Tampering

    - by Changeling
    We are adding AES 256 bit encryption to our server and client applications for encrypting the TCP/IP traffic containing sensitive information. We will be rotating the keys daily. Because of that, the keys will be stored in memory with the applications. Key distribution process: Each server and client will have a list of initial Key Encryption Key's (KEK) by day If the client has just started up or the server has just started up, the client will request the daily key from the server using the initial key. The server will respond with the daily key, encrypted with the initial key. The daily key is a randomly generated set of alphanumeric characters. We are using AES 256 bit encryption. All subsequent communications will be encrypted using that daily key. Nightly, the client will request the new daily key from the server using the current daily key as the current KEK. After the client gets the new key, the new daily key will replace the old daily key. Is it possible for another bad application to gain access to this memory illegally or is this protected in Windows? The key will not be written to a file, only stored in a variable in memory. If an application can access the memory illegally, how can you protect the memory from tampering? We are using C++ and XP (Vista/7 may be an option in the future so I don't know if that changes the answer).

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  • Memory Warning but Small Live Bytes

    - by Kamchatka
    Hi everyone, In my application, I get a memory warning of level 1 and then 2 after repeating some action (choosing a picture + processing) several times and then a crash. The leak tool doesn't show any leak. I'm also following the Allocations tool in Instruments and my Live Bytes are roughly 4 MB, overall I allocate 113 MB. At maximum I have maybe 20 MB in memory when the picture is loaded. Since I have to repeat an action to get to the crash, it is very likely to be a memory leak. However, I don't know how to locate it since my live bytes are 4 MB and things supposed to be allocated (apart a small leak of ~100 KB in the UIImagePickerController). How much can I trust the memory leak/allocation tools? Would you have an advice to help me locate the reason of the problem?

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  • Objective-c for the iphone: Mystery memory leak

    - by user200341
    My application seems to have 4 memory leaks (on the device, running instruments). The memory leaks seems to come from this code: NSURL *url = [self getUrl:destination]; [destination release]; NSMutableURLRequest *request = [[NSMutableURLRequest alloc] initWithURL:url]; [url release]; [request setHTTPMethod:@"GET"]; [request addValue:@"application/json" forHTTPHeaderField:@"content-type"]; NSURLConnection *connection = [[NSURLConnection alloc]initWithRequest:request delegate:self]; [request release]; [connection release]; I am releasing all my objects as far as I can see but it's still showing this as the source of the 4 memory leaks. This is on the Device running 3.1.3 Is it acceptable to have a few memory leaks in your app or do they all have to go?

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  • web sites leaking memory? IIS 7.5 Windows server 2008 R2

    - by Charles
    I have several web sites on my windows 2008 server that have been working flawlessly for over a year. Just a few days ago I ran into an issue where my server stopped serving up pages on some of these sites for no apparent reason. I dug into it a little more today and I see that some of my sites (they're all asp.net mvc 3.0 sites), are consuming over 460MB of memory. Like I said, this just started the other day after a very long period of time of no issues at all. I have two questions: 1) is there a way to throttle how much memory is consumed by the w3wp process before I can force it to restart (restart the app pool for a particular site) so that it doesn't keep hogging all of the memory? 2) any ideas what could have caused this to start happening?

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  • C# performance varying due to memory

    - by user1107474
    Hope this is a valid post here, its a combination of C# issues and hardware. I am benchmarking our server because we have found problems with the performance of our quant library (written in C#). I have simulated the same performance issues with some simple C# code- performing very heavy memory-usage. The code below is in a function which is spawned from a threadpool, up to a maximum of 32 threads (because our server has 4x CPUs x 8 cores each). This is all on .Net 3.5 The problem is that we are getting wildly differing performance. I run the below function 1000 times. The average time taken for the code to run could be, say, 3.5s, but the fastest will only be 1.2s and the slowest will be 7s- for the exact same function! I have graphed the memory usage against the timings and there doesnt appear to be any correlation with the GC kicking in. One thing I did notice is that when running in a single thread the timings are identical and there is no wild deviation. I have also tested CPU-bound algorithms and the timings are identical too. This has made us wonder if the memory bus just cannot cope. I was wondering could this be another .net or C# problem, or is it something related to our hardware? Would this be the same experience if I had used C++, or Java?? We are using 4x Intel x7550 with 32GB ram. Is there any way around this problem in general? Stopwatch watch = new Stopwatch(); watch.Start(); List<byte> list1 = new List<byte>(); List<byte> list2 = new List<byte>(); List<byte> list3 = new List<byte>(); int Size1 = 10000000; int Size2 = 2 * Size1; int Size3 = Size1; for (int i = 0; i < Size1; i++) { list1.Add(57); } for (int i = 0; i < Size2; i = i + 2) { list2.Add(56); } for (int i = 0; i < Size3; i++) { byte temp = list1.ElementAt(i); byte temp2 = list2.ElementAt(i); list3.Add(temp); list2[i] = temp; list1[i] = temp2; } watch.Stop(); (the code is just meant to stress out the memory) I would include the threadpool code, but we used a non-standard threadpool library. EDIT: I have reduced "size1" to 100000, which basically doesn't use much memory and I still get a lot of jitter. This suggests it's not the amount of memory being transferred, but the frequency of memory grabs?

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  • Ways to avoid Memory Leaks in C/C++

    - by Ankur
    What are some tips I can use to avoid memory leaks in my applications? In my current project I use a tool "INSURE++" which finds the memory leak and generate the report. Apart from the tool is there any method to identify memory leaks and overcome it.

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  • c# : simulate memory leaks..

    - by dotnet-practitioner
    Hi, I would like to write the following code in c#. a) small console application that simulates memory leak. b) small console application that would invoke the above application and release it right away simulating managing memory leak problem.. In other words the (b) application would continuously call and release application (a) to simulate how the "rebellious" memory leak application is being contained with out addressing the root cause which is application (a). Some sample code for application (a) and (b) would be very helpful. Thanks

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  • chrome memory and cpu footprint

    - by nmizar
    I've searched the forums for an answer but I couldn't find quite the answer I was looking for [1] , so I thought I it could as well be of interest to more people around here. I carry out a big part of my job on the browser (or for the browser, if you want to put it that way). I tend to use Chrome, because it's got natively many of the newest features that I need (DevTools stuff, mainly but not only). BTW, I'm usually running the last available Chrome version/build on a desktop Vaio with 4GB RAM and dual core CPU and Ubuntu 12.04 as distro and Gnome as window manager. So, I was curious about a) why does Chrome spawn so many threads even opening only three of four tabs and b) is there any way to allocate more memory to Chrome to prevent its performance from degrading? Thanks in advance, Nacho PS [1] I found threads about Chrome freezing or running out of memory but not about the reasons for this being so or for avoiding it to happen. PPS Of course, I could always buy a newer and more capable machine and that is exactly what I'm trying to evaluate: is this a question of outdated hardware or the problem will keep appearing on any (decently but not hugely sized) machine?

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  • Emgu CV - memory-leaks (memory consumption)

    - by martin pilch
    I am using EmguCV, the OpenCV wrapper for .NET. I am disposing all created objects but my app is still using more and more memory (in release configuration too). I have debugged my app using .NET Memory profiler and get this result: http://img532.imageshack.us/img532/2503/screenqv.png all objects instance count is oscilating but GChandle instance counr is increasing until my machine is unusable. Garbage collector does not release memory (i think). I am using VS 2008 professional, Win7 prof 32-bit, both up to date, and last stable version of emguCV. I can post some app code, if it will help. Thanks and sorry for my English. Martin

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  • Unusually high dentry cache usage

    - by Wolfgang Stengel
    Problem A CentOS machine with kernel 2.6.32 and 128 GB physical RAM ran into trouble a few days ago. The responsible system administrator tells me that the PHP-FPM application was not responding to requests in a timely manner anymore due to swapping, and having seen in free that almost no memory was left, he chose to reboot the machine. I know that free memory can be a confusing concept on Linux and a reboot perhaps was the wrong thing to do. However, the mentioned administrator blames the PHP application (which I am responsible for) and refuses to investigate further. What I could find out on my own is this: Before the restart, the free memory (incl. buffers and cache) was only a couple of hundred MB. Before the restart, /proc/meminfo reported a Slab memory usage of around 90 GB (yes, GB). After the restart, the free memory was 119 GB, going down to around 100 GB within an hour, as the PHP-FPM workers (about 600 of them) were coming back to life, each of them showing between 30 and 40 MB in the RES column in top (which has been this way for months and is perfectly reasonable given the nature of the PHP application). There is nothing else in the process list that consumes an unusual or noteworthy amount of RAM. After the restart, Slab memory was around 300 MB If have been monitoring the system ever since, and most notably the Slab memory is increasing in a straight line with a rate of about 5 GB per day. Free memory as reported by free and /proc/meminfo decreases at the same rate. Slab is currently at 46 GB. According to slabtop most of it is used for dentry entries: Free memory: free -m total used free shared buffers cached Mem: 129048 76435 52612 0 144 7675 -/+ buffers/cache: 68615 60432 Swap: 8191 0 8191 Meminfo: cat /proc/meminfo MemTotal: 132145324 kB MemFree: 53620068 kB Buffers: 147760 kB Cached: 8239072 kB SwapCached: 0 kB Active: 20300940 kB Inactive: 6512716 kB Active(anon): 18408460 kB Inactive(anon): 24736 kB Active(file): 1892480 kB Inactive(file): 6487980 kB Unevictable: 8608 kB Mlocked: 8608 kB SwapTotal: 8388600 kB SwapFree: 8388600 kB Dirty: 11416 kB Writeback: 0 kB AnonPages: 18436224 kB Mapped: 94536 kB Shmem: 6364 kB Slab: 46240380 kB SReclaimable: 44561644 kB SUnreclaim: 1678736 kB KernelStack: 9336 kB PageTables: 457516 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 72364108 kB Committed_AS: 22305444 kB VmallocTotal: 34359738367 kB VmallocUsed: 480164 kB VmallocChunk: 34290830848 kB HardwareCorrupted: 0 kB AnonHugePages: 12216320 kB HugePages_Total: 2048 HugePages_Free: 2048 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 5604 kB DirectMap2M: 2078720 kB DirectMap1G: 132120576 kB Slabtop: slabtop --once Active / Total Objects (% used) : 225920064 / 226193412 (99.9%) Active / Total Slabs (% used) : 11556364 / 11556415 (100.0%) Active / Total Caches (% used) : 110 / 194 (56.7%) Active / Total Size (% used) : 43278793.73K / 43315465.42K (99.9%) Minimum / Average / Maximum Object : 0.02K / 0.19K / 4096.00K OBJS ACTIVE USE OBJ SIZE SLABS OBJ/SLAB CACHE SIZE NAME 221416340 221416039 3% 0.19K 11070817 20 44283268K dentry 1123443 1122739 99% 0.41K 124827 9 499308K fuse_request 1122320 1122180 99% 0.75K 224464 5 897856K fuse_inode 761539 754272 99% 0.20K 40081 19 160324K vm_area_struct 437858 223259 50% 0.10K 11834 37 47336K buffer_head 353353 347519 98% 0.05K 4589 77 18356K anon_vma_chain 325090 324190 99% 0.06K 5510 59 22040K size-64 146272 145422 99% 0.03K 1306 112 5224K size-32 137625 137614 99% 1.02K 45875 3 183500K nfs_inode_cache 128800 118407 91% 0.04K 1400 92 5600K anon_vma 59101 46853 79% 0.55K 8443 7 33772K radix_tree_node 52620 52009 98% 0.12K 1754 30 7016K size-128 19359 19253 99% 0.14K 717 27 2868K sysfs_dir_cache 10240 7746 75% 0.19K 512 20 2048K filp VFS cache pressure: cat /proc/sys/vm/vfs_cache_pressure 125 Swappiness: cat /proc/sys/vm/swappiness 0 I know that unused memory is wasted memory, so this should not necessarily be a bad thing (especially given that 44 GB are shown as SReclaimable). However, apparently the machine experienced problems nonetheless, and I'm afraid the same will happen again in a few days when Slab surpasses 90 GB. Questions I have these questions: Am I correct in thinking that the Slab memory is always physical RAM, and the number is already subtracted from the MemFree value? Is such a high number of dentry entries normal? The PHP application has access to around 1.5 M files, however most of them are archives and not being accessed at all for regular web traffic. What could be an explanation for the fact that the number of cached inodes is much lower than the number of cached dentries, should they not be related somehow? If the system runs into memory trouble, should the kernel not free some of the dentries automatically? What could be a reason that this does not happen? Is there any way to "look into" the dentry cache to see what all this memory is (i.e. what are the paths that are being cached)? Perhaps this points to some kind of memory leak, symlink loop, or indeed to something the PHP application is doing wrong. The PHP application code as well as all asset files are mounted via GlusterFS network file system, could that have something to do with it? Please keep in mind that I can not investigate as root, only as a regular user, and that the administrator refuses to help. He won't even run the typical echo 2 > /proc/sys/vm/drop_caches test to see if the Slab memory is indeed reclaimable. Any insights into what could be going on and how I can investigate any further would be greatly appreciated. Updates Some further diagnostic information: Mounts: cat /proc/self/mounts rootfs / rootfs rw 0 0 proc /proc proc rw,relatime 0 0 sysfs /sys sysfs rw,relatime 0 0 devtmpfs /dev devtmpfs rw,relatime,size=66063000k,nr_inodes=16515750,mode=755 0 0 devpts /dev/pts devpts rw,relatime,gid=5,mode=620,ptmxmode=000 0 0 tmpfs /dev/shm tmpfs rw,relatime 0 0 /dev/mapper/sysvg-lv_root / ext4 rw,relatime,barrier=1,data=ordered 0 0 /proc/bus/usb /proc/bus/usb usbfs rw,relatime 0 0 /dev/sda1 /boot ext4 rw,relatime,barrier=1,data=ordered 0 0 tmpfs /phptmp tmpfs rw,noatime,size=1048576k,nr_inodes=15728640,mode=777 0 0 tmpfs /wsdltmp tmpfs rw,noatime,size=1048576k,nr_inodes=15728640,mode=777 0 0 none /proc/sys/fs/binfmt_misc binfmt_misc rw,relatime 0 0 cgroup /cgroup/cpuset cgroup rw,relatime,cpuset 0 0 cgroup /cgroup/cpu cgroup rw,relatime,cpu 0 0 cgroup /cgroup/cpuacct cgroup rw,relatime,cpuacct 0 0 cgroup /cgroup/memory cgroup rw,relatime,memory 0 0 cgroup /cgroup/devices cgroup rw,relatime,devices 0 0 cgroup /cgroup/freezer cgroup rw,relatime,freezer 0 0 cgroup /cgroup/net_cls cgroup rw,relatime,net_cls 0 0 cgroup /cgroup/blkio cgroup rw,relatime,blkio 0 0 /etc/glusterfs/glusterfs-www.vol /var/www fuse.glusterfs rw,relatime,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 0 0 /etc/glusterfs/glusterfs-upload.vol /var/upload fuse.glusterfs rw,relatime,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 0 0 sunrpc /var/lib/nfs/rpc_pipefs rpc_pipefs rw,relatime 0 0 172.17.39.78:/www /data/www nfs rw,relatime,vers=3,rsize=65536,wsize=65536,namlen=255,hard,proto=tcp,port=38467,timeo=600,retrans=2,sec=sys,mountaddr=172.17.39.78,mountvers=3,mountport=38465,mountproto=tcp,local_lock=none,addr=172.17.39.78 0 0 Mount info: cat /proc/self/mountinfo 16 21 0:3 / /proc rw,relatime - proc proc rw 17 21 0:0 / /sys rw,relatime - sysfs sysfs rw 18 21 0:5 / /dev rw,relatime - devtmpfs devtmpfs rw,size=66063000k,nr_inodes=16515750,mode=755 19 18 0:11 / /dev/pts rw,relatime - devpts devpts rw,gid=5,mode=620,ptmxmode=000 20 18 0:16 / /dev/shm rw,relatime - tmpfs tmpfs rw 21 1 253:1 / / rw,relatime - ext4 /dev/mapper/sysvg-lv_root rw,barrier=1,data=ordered 22 16 0:15 / /proc/bus/usb rw,relatime - usbfs /proc/bus/usb rw 23 21 8:1 / /boot rw,relatime - ext4 /dev/sda1 rw,barrier=1,data=ordered 24 21 0:17 / /phptmp rw,noatime - tmpfs tmpfs rw,size=1048576k,nr_inodes=15728640,mode=777 25 21 0:18 / /wsdltmp rw,noatime - tmpfs tmpfs rw,size=1048576k,nr_inodes=15728640,mode=777 26 16 0:19 / /proc/sys/fs/binfmt_misc rw,relatime - binfmt_misc none rw 27 21 0:20 / /cgroup/cpuset rw,relatime - cgroup cgroup rw,cpuset 28 21 0:21 / /cgroup/cpu rw,relatime - cgroup cgroup rw,cpu 29 21 0:22 / /cgroup/cpuacct rw,relatime - cgroup cgroup rw,cpuacct 30 21 0:23 / /cgroup/memory rw,relatime - cgroup cgroup rw,memory 31 21 0:24 / /cgroup/devices rw,relatime - cgroup cgroup rw,devices 32 21 0:25 / /cgroup/freezer rw,relatime - cgroup cgroup rw,freezer 33 21 0:26 / /cgroup/net_cls rw,relatime - cgroup cgroup rw,net_cls 34 21 0:27 / /cgroup/blkio rw,relatime - cgroup cgroup rw,blkio 35 21 0:28 / /var/www rw,relatime - fuse.glusterfs /etc/glusterfs/glusterfs-www.vol rw,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 36 21 0:29 / /var/upload rw,relatime - fuse.glusterfs /etc/glusterfs/glusterfs-upload.vol rw,user_id=0,group_id=0,default_permissions,allow_other,max_read=131072 37 21 0:30 / /var/lib/nfs/rpc_pipefs rw,relatime - rpc_pipefs sunrpc rw 39 21 0:31 / /data/www rw,relatime - nfs 172.17.39.78:/www rw,vers=3,rsize=65536,wsize=65536,namlen=255,hard,proto=tcp,port=38467,timeo=600,retrans=2,sec=sys,mountaddr=172.17.39.78,mountvers=3,mountport=38465,mountproto=tcp,local_lock=none,addr=172.17.39.78 GlusterFS config: cat /etc/glusterfs/glusterfs-www.vol volume remote1 type protocol/client option transport-type tcp option remote-host 172.17.39.71 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume remote2 type protocol/client option transport-type tcp option remote-host 172.17.39.72 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume remote3 type protocol/client option transport-type tcp option remote-host 172.17.39.73 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume remote4 type protocol/client option transport-type tcp option remote-host 172.17.39.74 option ping-timeout 10 option transport.socket.nodelay on # undocumented option for speed # http://gluster.org/pipermail/gluster-users/2009-September/003158.html option remote-subvolume /data/www end-volume volume replicate1 type cluster/replicate option lookup-unhashed off # off will reduce cpu usage, and network option local-volume-name 'hostname' subvolumes remote1 remote2 end-volume volume replicate2 type cluster/replicate option lookup-unhashed off # off will reduce cpu usage, and network option local-volume-name 'hostname' subvolumes remote3 remote4 end-volume volume distribute type cluster/distribute subvolumes replicate1 replicate2 end-volume volume iocache type performance/io-cache option cache-size 8192MB # default is 32MB subvolumes distribute end-volume volume writeback type performance/write-behind option cache-size 1024MB option window-size 1MB subvolumes iocache end-volume ### Add io-threads for parallel requisitions volume iothreads type performance/io-threads option thread-count 64 # default is 16 subvolumes writeback end-volume volume ra type performance/read-ahead option page-size 2MB option page-count 16 option force-atime-update no subvolumes iothreads end-volume

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  • Windows 7 memory usage

    - by lydonchandra
    Physical memory(MB) for Windows 7 Total 4021 Cached 1113 Available 768 Free 174 Memory used 3.25GB At this point, windows7 asks me to close some programs because "system memory is low". From my understanding reading articles, I still have 768 MB free memory, why does windows7 complain? Also what does Cached memory refer to? Is this part of memory that Windows7 reserved for itself meaning it's free to use by Windows7 (and means I have about 768 + 1113 MB of free mem?)?

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  • Memory Usage in LINUX

    - by Incredible
    I have a debian system. It has 8GB memory. When I do top it shows 7.9 GB memory used and rest free. I add up the memory usage of all the programs running from top and they hardly sum up to around 50 MB. So, where is rest of the memory being used? Can I have a better detailed info of the memory usage? What is a better way to check the memory usage?

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  • What is the best way to find a processed memory allocations in terms of C# objects

    - by Shantaram
    I have written various C# console based applications, some of them long running some not, which can over time have a large memory foot print. When looking at the windows perofrmance monitor via the task manager, the same question keeps cropping up in my mind; how do I get a break down of the number objects by type that are contributing to this footprint; and which of those are f-reachable and those which aren't and hence can be collected. On numerous occasions I've performed a code inspection to ensure that I am not unnecessarily holding on objects longer than required and disposing of objects with the using construct. I have also recently looked at employing the CG.Collect method when I have released a large number of objects (for example held in a collection which has just been cleared). However, I am not so sure that this made that much difference, so I threw that code away. I am guessing that there are tools in sysinternals suite than can help to resolve these memory type quiestions but I am not sure which and how to use them. The alternative would be to pay for a third party profiling tool such as JetBrains dotTrace; but I need to make sure that I've explored the free options first before going cap in hand to my manager.

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  • Why does my Delphi program's memory continue to grow?

    - by lkessler
    I am using Delphi 2009 which has the FastMM4 memory manager built into it. My program reads in and processes a large dataset. All memory is freed correctly whenever I clear the dataset or exit the program. It has no memory leaks at all. Using the CurrentMemoryUsage routine given in spenwarr's answer to: http://stackoverflow.com/questions/437683/how-to-get-the-memory-used-by-a-delphi-program, I have displayed the memory used by FastMM4 during processing. What seems to be happening is that memory is use is growing after every process and release cycle. e.g.: 1,456 KB used after starting my program with no dataset. 218,455 KB used after loading a large dataset. 71,994 KB after clearing the dataset completely. If I exit at this point (or any point in my example), no memory leaks are reported. 271,905 KB used after loading the same dataset again. 125,443 KB after clearing the dataset completely. 325,519 KB used after loading the same dataset again. 179,059 KB after clearing the dataset completely. 378,752 KB used after loading the same dataset again. It seems that my program's memory use is growing by about 53,400 KB upon each load/clear cycle. Task Manager confirms that this is actually happening. I have heard that FastMM4 does not always release all of the program's memory back to the Operating system when objects are freed so that it can keep some memory around when it needs more. But this continual growing bothers me. Since no memory leaks are reported, I can't identify a problem. Does anyone know why this is happening, if it is bad, and if there is anything I can or should do about it?

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  • Windows Physical Direct Memory Mapping

    - by chrisjleaf
    I'm a bit disappointed there is almost no discussion of this no matter where I look so I guess I'll have to ask. I'm writing a cross platform memory bench marking application which requires direct physical address mapping rather than virtual addressing. EDIT The solution would look something like the Linux/Unix system calls: int fd = open("/dev/mem", O_RDONLY); mmap(NULL, len, PROT_READ, MAP_SHARED, fd, PHYSICAL_ADDRESS_OFFSET); which will require the kernel to either give you a virtual page mapping to the desired physical address or return that it failed. This does require supervisor privileges but that is ok. I have seen a lot of information about shared memory and memory mapped files but all of these reside on disc and are thus not really useful when I'm trying to make a system dependent read. It is very similar to writing an IO driver although I do no need write permissions to the physical address. This site gives an example of how to do it on a driver level using the Windows Driver Kit: NT Insider: Sharing Memory between drivers and applications This solution would probably require Visual Studio which currently I do not have access to. (I have downloaded the WDK api but it complained about my use of GCC for Windows). I'm traditionally a Linux programmer so I'm hoping there might be something really simple I'm missing. Thanks in advance if you know something I don't!

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  • Calculate private working set (memory) using C#.

    - by Gnucom
    Hello, How do I calculate the private working set of memory using C#? I'm interested in produces roughly the same figure as taskmgr.exe. I'm using the Process namespace and using methods/data like WorkingSet64 and PrivateMemorySize64, but these figures are off by 100MB or more at times. Thanks,

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  • JQuery or javascript to find memory usage of page

    - by Tauren
    Is there a way to find out how much memory is being used by a web page, or by my jquery application? Here's my situation: I'm building a data heavy webapp using a jquery frontend and a restful backend that serves data in JSON. The page is loaded once, and then everything happens via ajax. The UI provides users with a way to create multiple tabs within the UI, and each tab can contain lots and lots of data. I'm considering limiting the number of tabs they can create, but was thinking it would be nice to only limit them once memory usage has gone above a certain threshold.

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  • How to reduce memory consumption an AWS EC2 t1.micro instance (free tier) ubuntu server 14.04 LTS EBS

    - by CMPSoares
    Hi I'm working on my bachelor thesis and for that I need to host a node.js web application on AWS, in order to avoid costs I'm using a t1.micro instance with 30GB disk space (from what I know it's the maximum I get in the free tier) which is barely used. But instead I have problems with memory consumption, it's using all of it. I tried the approach of creating a virtual swap area as mentioned at Why don't EC2 ubuntu images have swap? with these commands: sudo dd if=/dev/zero of=/var/swapfile bs=1M count=2048 && sudo chmod 600 /var/swapfile && sudo mkswap /var/swapfile && echo /var/swapfile none swap defaults 0 0 | sudo tee -a /etc/fstab && sudo swapon -a But this swap area isn't used somehow. Is something missing in this approach or is there another process of reducing the memory consumption in these type of AWS instances? Bottom-line: This originates server freezes and crashes and that's what I want to stop either by using the swap, reducing memory usage or both.

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  • G++ Multi-platform memory leak detection tool

    - by indyK1ng
    Does anyone know where I can find a memory memory leak detection tool for C++ which can be either run in a command line or as an Eclipse plug-in in Windows and Linux. I would like it to be easy to use. Preferably one that doesn't overwrite new(), delete(), malloc() or free(). Something like GDB if its gonna be in the command line, but I don't remember that being used for detecting memory leaks. If there is a unit testing framework which does this automatically, that would be great. This question is similar to other questions (such as http://stackoverflow.com/questions/283726/memory-leak-detection-under-windows-for-gnu-c-c ) however I feel it is different because those ask for windows specific solutions or have solutions which I would rather avoid. I feel I am looking for something a bit more specific here. Suggestions don't have to fulfill all requirements, but as many as possible would be nice. Thanks. EDIT: Since this has come up, by "overwrite" I mean anything which requires me to #include a library or which otherwise changes how C++ compiles my code, if it does this at run time so that running the code in a different environment won't affect anything that would be great. Also, unfortunately, I don't have a Mac, so any suggestions for that are unhelpful, but thank you for trying. My desktop runs Windows (I have Linux installed but my dual monitors don't work with it) and I'd rather not run Linux in a VM, although that is certainly an option. My laptop runs Linux, so I can use that tool on there, although I would definitely prefer sticking to my desktop as the screen space is excellent for keeping all of the design documentation and requirements in view without having to move too much around on the desktop. NOTE: While I may try answers, I won't mark one as accepted until I have tried the suggestion and it is satisfactory. EDIT2: I'm not worried about the cross-platform compatibility of my code, it's a command line application using just the C++ libraries.

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  • How is an array stored in memory?

    - by George
    In an interest to delve deeper into how memory is allocated and stored, I have written an application that can scan memory address space, find a value, and write out a new value. I developed a sample application with the end goal to be able to programatically locate my array, and overwrite it with a new sequence of numbers. In this situation, I created a single dimensional array, with 5 elements, e.g. int[] array = new int[] {8,7,6,5,4}; I ran my application and searched for a sequence of the five numbers above. I was looking for any value that fell between 4 and 8, for a total of 5 numbers in a row. Unforuntately, my the sequential numbers in my array matched hundreds of results, as the numbers 4 through 8, in no particular sequence happened to be next to each other, in memory, in many situations. Is there any way to distinguish that a set of numbers within memory, represents an array, not simply integers that are next to each other? Is there any way of knowing that if I find a certain value, that the matching values proceeding it are that of an array? I would assume that when I declare int[] array, its pointing at the first address of my array, which would provide some kind of meta-data to what existed in the array, e.g. 0x123456789 meta-data, 5 - 32 bit integers 0x123456789 + 32 "8" 0x123456789 + 64 "7" 0x123456789 + 96 "6" 0x123456789 + 128 "5" 0x123456789 + 160 "4" Am I way off base?

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  • Firefox consumes too much memory

    - by Vivek
    I have firefox version 11.0 and am running ubuntu 11.10. Firefox takes upto 850MB RAM with only six or seven tabs opened and all the tabs loaded with light weight websites only. I wonder why would a browser consume so much memory. It keeps increasing its memory consumption over time. I have 3GB RAM and most of the times firefox consumes upto 30% of my memory. How do I fix this? EDIT: The output of the command sudo iotop -oPa as asked by @Jippie

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  • EBS: OPP Out of memory issue...

    - by ashish.shrivastava
    FO Processor is little more hungry for memory compare to other Java process. If XSLT scalable option is not set and the same time your RTF template is not well optimized definitely you are going to hit Out of memory exception while working with large volume of data. If the memory requirement is not too bad, you can set the OOP Heap size using following SQL queries. Check the current OPP JVM Heap size using following SQL query SQL select DEVELOPER_PARAMETERS from FND_CP_SERVICES where SERVICE_ID = (select MANAGER_TYPE from FND_CONCURRENT_QUEUES where CONCURRENT_QUEUE_NAME = 'FNDCPOPP' DEVELOPER_PARAMETERS ----------------------------------------------------- J:oracle.apps.fnd.cp.gsf.GSMServiceController:-mx512m Set the JVM Heap size using following SQL query SQL update FND_CP_SERVICES set DEVELOPER_PARAMETERS = 'J:oracle.apps.fnd.cp.gsf.GSMServiceController:-mx2048m' where SERVICE_ID = (select MANAGER_TYPE from FND_CONCURRENT_QUEUES where CONCURRENT_QUEUE_NAME = 'FNDCPOPP'); SQLCommit; . You need to restart the Concurrent Manager to make it effective. If this does not resolve the issue, You need to optimize RTF template and set the XSLT scalable option true.

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