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  • Plesk Uninstall Memory issue

    - by user115079
    I am trying to uninstall plesk from my VPS by running following command: yum remove sw-* psa-* plesk-* when i run this command i get following error: Running rpm_check_debug Running Transaction Test memory alloc (4 bytes) returned NULL. First time when i run above command, this mem alloc (4 bytes) was very big number like (67864987). then i googled it, got some clear/ulimit commands. executed them. rebooted my system. stopped all process and executed this command again. but still getting 4 byte issue. dont know how to get rid of it. I also tried ulimit after reboot but no success and Yes. No swap attached. these are stats of my system [root@vps ~]# free -m total used free shared buffers cached Mem: 384 67 316 0 0 0 -/+ buffers/cache: 67 316 Swap: 0 0 0 top - 21:01:07 up 3:12, 1 user, load average: 0.24, 0.08, 0.03 Tasks: 31 total, 2 running, 29 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 393216k total, 69832k used, 323384k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached is there any other alternative to achieve my goal to uninstall plesk? thanks.

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  • memory usage setting

    - by user127610
    everybody,the memory usage is too much,what can i do? top - 12:54:37 up 7 days, 4:38, 1 user, load average: 0.00, 0.00, 0.00 Tasks: 18 total, 2 running, 16 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048800k total, 917424k used, 131376k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 1 root 15 0 2840 1364 1204 S 0.0 0.1 0:02.17 init 1161 root 14 -4 2320 600 420 S 0.0 0.1 0:00.00 udevd 1391 root 18 0 35512 1288 948 S 0.0 0.1 0:03.53 rsyslogd 1409 root 15 0 8432 1164 700 S 0.0 0.1 0:03.87 sshd 1416 root 18 0 3156 868 692 S 0.0 0.1 0:00.00 xinetd 1423 root 18 0 8672 716 292 S 0.0 0.1 0:00.00 saslauthd 1424 root 18 0 8672 488 64 S 0.0 0.0 0:00.00 saslauthd 1431 root 15 0 7020 1168 616 S 0.0 0.1 0:00.99 crond 1450 root 25 0 6236 1444 1228 S 0.0 0.1 0:00.05 sh 3328 mysql 15 0 799m 42m 4892 S 0.0 4.1 0:02.07 mysqld 15479 root 15 0 11304 3332 2688 R 0.0 0.3 0:00.06 sshd 15482 root 15 0 6372 1688 1404 S 0.0 0.2 0:00.00 bash 15497 root 15 0 2536 1044 864 R 0.0 0.1 0:00.00 top 20137 www 15 0 20672 14m 864 S 0.0 1.4 0:00.87 nginx 22351 www 16 0 52324 26m 9244 S 0.0 2.6 0:13.94 php-fpm 24231 www 16 0 51928 25m 9260 S 0.0 2.5 0:13.52 php-fpm 32682 root 15 0 35832 3228 864 S 0.0 0.3 0:02.18 php-fpm 32686 root 18 0 7368 1616 888 S 0.0 0.2 0:00.00 nginx

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  • PHP-FPM High Memory Usage

    - by Ruel
    I have a wordpress blog, that uses WP-SuperCache, and normally I get 100 visitors per day. With nginx + php-fpm it's blazing fast, and I have no regrets. One thing i noticed, php-fpm takes a lot of memory: top - 09:20:43 up 5 days, 15:53, 1 user, load average: 0.00, 0.00, 0.00 Tasks: 26 total, 1 running, 25 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 0.0%sy, 0.0%ni,100.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1048576k total, 329956k used, 718620k free, 0k buffers Swap: 0k total, 0k used, 0k free, 0k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 10226 www-data 15 0 145m 52m 4584 S 0.0 5.1 0:07.55 php-fpm 10223 www-data 16 0 141m 48m 4692 S 0.0 4.8 0:08.70 php-fpm 20277 www-data 15 0 138m 46m 4368 S 0.0 4.5 0:07.55 php-fpm 20259 www-data 15 0 133m 41m 4600 S 0.0 4.0 0:06.68 php-fpm 12201 www-data 15 0 133m 41m 4632 S 0.0 4.0 0:08.31 php-fpm 11586 www-data 15 0 132m 40m 4292 S 0.0 3.9 0:03.27 php-fpm 29822 www-data 15 0 128m 36m 4356 S 0.0 3.6 0:05.26 php-fpm 28427 mysql 15 0 200m 7300 4764 S 0.0 0.7 0:47.89 mysqld 10202 root 18 0 98.3m 4320 1204 S 0.0 0.4 0:03.80 php-fpm 22524 root 18 0 86064 3396 2652 S 0.0 0.3 0:16.74 sshd 9882 www-data 18 0 42052 2572 804 S 0.0 0.2 0:27.52 nginx 9884 www-data 18 0 42052 2560 804 S 0.0 0.2 0:26.26 nginx 9881 www-data 18 0 42064 2524 804 S 0.0 0.2 0:29.24 nginx 9879 www-data 18 0 42032 2480 804 S 0.0 0.2 0:29.58 nginx 23771 root 15 0 12176 1820 1316 S 0.0 0.2 0:00.08 bash 28344 root 22 0 11932 1416 1184 S 0.0 0.1 0:00.00 mysqld_safe 18167 root 16 0 62628 1208 648 S 0.0 0.1 0:00.55 sshd 25941 root 15 0 12612 1192 928 R 0.0 0.1 0:02.21 top 11573 root 15 0 20876 1168 592 S 0.0 0.1 0:00.67 crond 9878 root 18 0 41000 1112 284 S 0.0 0.1 0:00.00 nginx 21736 root 23 0 21648 936 716 S 0.0 0.1 0:00.00 xinetd 11585 root 18 0 46748 816 428 S 0.0 0.1 0:00.00 saslauthd 14125 root 12 -4 12768 768 452 S 0.0 0.1 0:00.00 udevd 1 root 18 0 10352 728 616 S 0.0 0.1 0:17.93 init 24564 root 15 0 5912 680 544 S 0.0 0.1 0:01.90 syslogd 11618 root 18 0 46748 548 160 S 0.0 0.1 0:00.00 saslauthd Here's my php-fpm config: [global] pid = run/php-fpm.pid error_log = log/php-fpm.log log_level = notice [www] listen = 127.0.0.1:9000 user = www-data group = www-data pm = dynamic pm.max_children = 50 pm.start_servers = 3 pm.min_spare_servers = 3 pm.max_spare_servers = 10 pm.max_requests = 500 Sometimes it goes up to 400MB. And I'm planning to add a new website on my VPS. Is this normal?

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  • Single TCP-CLOSE_WAIT connection brings down application till restart

    - by broun
    Recently found a behaviour where my application had a connection in TCP Close_wait state till the app was restarted (after about 5 hours). But during this period the SUnreclaim space was also increasing constantly and went down on restart. The application is runnning on a rhel5 os and Im not very familiar with the memory management system. Would appreciate if someone clould tell me what extactly is the Ureclaim space and why it is increasing in sync with the close_wait.

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  • SUnreclaim size increasing in syc with a TCP-CLOSE_WAIT till application restart

    - by maver1k
    Recently found a behaviour where my application had a connection in TCP Close_wait state till the app was restarted (after about 5 hours). But during this period the SUnreclaim space was also increasing constantly and went down on restart. The application is runnning on a rhel5 os and Im not very familiar with the memory management system. Would appreciate if someone clould tell me what extactly is the Ureclaim space and why it is increasing in sync with the close_wait. Thanks.

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  • How can I limit Safari's RAM use?

    - by timothymh
    Safari uses a lot of RAM. Especially when you add Safari's use to WebProcess's use: it comes to about 1.5 GB of memory (for me, anyway). How can I limit the amount of RAM Safari and WebProcess use? I know a similar question was asked last summer, but two of those answers have to do with the program in question (Dropbox) and the other answer encourages use of Terminal, which I find terribly confusing. Are there any other methods?

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  • Ubuntu 14.04 says insufficient memory in my /boot memory alocation while updating

    - by Aravind Dollar
    I am new to Linux platform. I just tried installing Ubuntu alongside windows but allocated only 200 mb to the /boot partition which is not recommended. Now Ubuntu software update keep on insists me no enough space. What should I do? Is there any way to increase my /boot partition without removing the total OS? Or should I completely uninstall Ubuntu and put it back? Please anyone suggest me over this issue. I have no idea what to do. And please be elaborate, as I am new to Linux environment.

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  • strange memory usage pattern on windows server 2008 on login through remote desktop..

    - by headsling
    I'm running Windows Server 2008 Datacenter Service Pack 2 on a VM Ware instance with 10Gb ram allocated. I'm not running IIS or SQL Server. Under 'normal' conditions, the machine uses ~5.5Gb of memory. However, when I login to the server through remote desktop, the memory usage slowly climbs up to 9.8Gb of memory in use. After several minutes the memory slowly creeps back down to the 5.5Gb mark. I've tried killing all the processes associated with my login, on login, barring the taskmanager without success, and I can't see any process that is growing in memory usage when the memory is increasing. I'm assuming this is some system level cache that is growing / shrinking... but why is it doing this?

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  • Webcast - Oracle Database In-Memory Option

    - by Thanos Terentes Printzios
    Next to the recent announcement by Larry Ellison on the Future of the Database, we are happy to share this exclusive series of live webcasts from Oracle Database Product Management, where you can learn more about the brand new Oracle Database 12c In-Memory option. Oracle Database In-Memory is Oracle’s new memory-optimized technology that transparently accelerates analytic, data warehousing, and reporting workloads, while also accelerating transaction processing (OLTP) workloads. Participants will learn about Oracle Database In-Memory benefits, features, and leading edge architecture.  The Database In-Memory architecture provides the ability to easily process data orders of magnitude faster by simply enabling the feature and identifying tables to bring in-memory without application changes. Details on Oracle Database In-Memory’s ease of use and management, scalability, and availability will also be covered. Please join us to learn more about Oracle Database In-Memory and get first-hand knowledge of this important new feature. Delivery Format This FREE online LIVE eSeminar will be delivered over the Web.These Oracle webcasts are FREE for Customers, System Integrators, ISVs, VARs and Platform Partners. Presenter: Richard Jacobs, Oracle Solution Architect  Europe Webcast 1 Date: August 29, 2014 @ 10:00 am to 11:00 am Central European Summer Time (CEST)Register Here! Europe Webcast 2 Date: September 29, 2014 @ 10:00 am to 11:00 am Central European Summer Time (CEST)Register Here!

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  • Effective versus efficient code

    - by Todd Williamson
    TL;DR: Quick and dirty code, or "correct" (insert your definition of this term) code? There is often a tension between "efficient" and "effective" in software development. "Efficient" often means code that is "correct" from the point of view of adhering to standards, using widely-accepted patterns/approaches for structures, regardless of project size, budget, etc. "Effective" is not about being "right", but about getting things done. This often results in code that falls outside the bounds of commonly accepted "correct" standards, usage, etc. Usually the people paying for the development effort have dictated ahead of time what it is that they value more. An organization that lives in a technical space will tend towards the efficient end, others will tend towards the effective. Developers often refuse to compromise their favored approach for the other. In my own experience I have found that people with formal education in software development tend towards the Efficient camp. Those that picked up software development more or less as a tool to get things done tend towards the Effective camp. These camps don't get along very well. When managing a team of developers who are not all in one camp it is challenging. In your own experience, which camp do you land in, and do you find yourself having to justify your approach to others? To management? To other developers?

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  • Efficient data structure design

    - by Sway
    Hi there, I need to match a series of user inputed words against a large dictionary of words (to ensure the entered value exists). So if the user entered: "orange" it should match an entry "orange' in the dictionary. Now the catch is that the user can also enter a wildcard or series of wildcard characters like say "or__ge" which would also match "orange" The key requirements are: * this should be as fast as possible. * use the smallest amount of memory to achieve it. If the size of the word list was small I could use a string containing all the words and use regular expressions. however given that the word list could contain potentially hundreds of thousands of enteries I'm assuming this wouldn't work. So is some sort of 'tree' be the way to go for this...? Any thoughts or suggestions on this would be totally appreciated! Thanks in advance, Matt

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  • Segment register, IP register and memory addressing issue!

    - by Zia ur Rahman
    In the following text I asked two questions and I also described that what I know about these question so that you can understand my thinking. Your precious comments about the below text are required. Below is the Detail of 1ST Question As we know that if we have one mega byte memory then we need 20 bits to address this memory. Another thing is each memory cell has a physical address which is of 20 bits in 1Mb memory. IP register in IAPX88 is of 16 bits. Now my point of view is, we can not access the memory at all by the IP register because the memory need 20 bit address to be addressed but the IP register is of 16 bits. If we have a memory of 64k then IP register can access this memory because this memory needs 16 bits to be addressed. But incase of 1mb memory IP can’t.tell me am i right or not if not why? Suppose physical address of memory is 11000000000000000101 Now how can we access this memory location by 16 bits. Below is the detail of Next Question: My next question is , suppose IP register is pointing to memory location, and the segment register is also pointing to a memory location (start of the segment), the memory is of 1MB, how we can access a memory location by these two 16 bit registers tell me the sequence of steps how the 20 bits addressable memory location is accessed . If your answer is, we take the segment value and we shift it left by 4 bits and then add the IP value into it to get the 20 bits address, then this raises another question that is the address bus (the address bus should be 20 bits wide), the registers both the segment register and the IP register are of 16 bits each , now if address bus is 20 bits wide then this means that the address bus is connected to both these registers. If its not the case then another thing that comes into my mind is that both these registers generate a 20 bit address and there would be a register which can store 20 bits and this register would be connected to both these register and the address bus as well.

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  • Having problems with high CPU usage and apparent memory leak of Exim

    - by Dancrumb
    I'm having problems with my server and am hoping you can help. The culprit appears to be exim. The CPU usage is consistently high and the memory usage trends up and up and up for no apparent reason (this is not a heavily used server). To demonstrate the issue, I ran the following: root@server [/var/log]# service exim restart; for iter in `seq 0 9`; do date; top -n1 | grep exim; sleep 10; done Shutting down exim: [ OK ] Shutting down spamd: [ OK ] Starting exim: [ OK ] Sun Jun 6 18:12:07 CDT 2010 62592 root 25 0 11400 6572 2356 R 51.5 1.3 0:00.92 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim Sun Jun 6 18:12:18 CDT 2010 62592 root 25 0 28768 23m 2356 R 57.4 4.6 0:06.75 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:28 CDT 2010 62592 root 25 0 36408 30m 2356 R 55.5 6.0 0:12.59 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:39 CDT 2010 62592 root 25 0 41396 35m 2356 R 53.5 7.0 0:18.35 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:12:49 CDT 2010 62592 root 25 0 45868 40m 2356 R 47.5 7.8 0:24.06 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:00 CDT 2010 62592 root 25 0 50056 44m 2356 R 55.3 8.6 0:29.84 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:10 CDT 2010 62592 root 25 0 53888 47m 2356 R 55.2 9.4 0:35.63 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:21 CDT 2010 62592 root 20 0 56920 50m 2356 R 55.3 9.9 0:41.15 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:31 CDT 2010 62592 root 25 0 60380 54m 2356 R 53.4 10.6 0:46.98 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim Sun Jun 6 18:13:42 CDT 2010 62592 root 22 0 63400 57m 2356 R 49.5 11.2 0:52.74 exim 62587 mailnull 18 0 7548 1212 792 S 0.0 0.2 0:00.00 exim 62588 root 18 0 7536 2052 1648 S 0.0 0.4 0:00.00 exim After some time, it gets to a rate of picking up an extra MB every 10s. I've checked the exim logs and there are no messages coming in there. exim -bV shows: Exim version 4.69 #1 built 16-Mar-2009 14:44:43 Copyright (c) University of Cambridge 2006 Berkeley DB: Sleepycat Software: Berkeley DB 4.2.52: (February 22, 2005) Support for: crypteq iconv() IPv6 PAM Perl OpenSSL Content_Scanning Old_Demime Experimental_SPF Experimental_SRS Experimental_DomainKeys Lookups: lsearch wildlsearch nwildlsearch iplsearch dbm dbmnz passwd Authenticators: cram_md5 dovecot plaintext spa Routers: accept dnslookup ipliteral manualroute queryprogram redirect Transports: appendfile/maildir autoreply pipe smtp Size of off_t: 8 Configuration file is /etc/exim.conf I'm at something of a loss as to how to proceed. Any recommendations would be well received!

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  • C# WPF application is using too much memory while GC.GetTotalMemory() is low

    - by Dmitry
    I wrote little WPF application with 2 threads - main thread is GUI thread and another thread is worker. App has one WPF form with some controls. There is a button, allowing to select directory. After selecting directory, application scans for .jpg files in that directory and checks if their thumbnails are in hashtable. if they are, it does nothing. else it's adding their full filenames to queue for worker. Worker is taking filenames from this queue, loading JPEG images (using WPF's JpegBitmapDecoder and BitmapFrame), making thumbnails of them (using WPF's TransformedBitmap) and adding them to hashtable. Everything works fine, except memory consumption by this application when making thumbnails for big images (like 5000x5000 pixels). I've added textboxes on my form to show memory consumption (GC.GetTotalMemory() and Process.GetCurrentProcess().PrivateMemorySize64) and was very surprised, cuz GC.GetTotalMemory() stays close to 1-2 Mbytes, while private memory size constantly grows, especially when loading new image (~ +100Mb per image). Even after loading all images, making thumbnails of them and freeing original images, private memory size stays at ~700-800Mbytes. My VirtualBox is limited to 512Mb of physical memory and Windows in VirtualBox starts to swap alot to handle this huge memory consumption. I guess I'm doing something wrong, but I don't know how to investigate this problem, cuz according to GC, allocated memory size is very low. Attaching code of thumbnail loader class: class ThumbnailLoader { Hashtable thumbnails; Queue<string> taskqueue; EventWaitHandle wh; Thread[] workers; bool stop; object locker; int width, height, processed, added; public ThumbnailLoader() { int workercount,i; wh = new AutoResetEvent(false); thumbnails = new Hashtable(); taskqueue = new Queue<string>(); stop = false; locker = new object(); width = height = 64; processed = added = 0; workercount = Environment.ProcessorCount; workers=new Thread[workercount]; for (i = 0; i < workercount; i++) { workers[i] = new Thread(Worker); workers[i].IsBackground = true; workers[i].Priority = ThreadPriority.Highest; workers[i].Start(); } } public void SetThumbnailSize(int twidth, int theight) { width = twidth; height = theight; if (thumbnails.Count!=0) AddTask("#resethash"); } public void GetProgress(out int Added, out int Processed) { Added = added; Processed = processed; } private void AddTask(string filename) { lock(locker) { taskqueue.Enqueue(filename); wh.Set(); added++; } } private string NextTask() { lock(locker) { if (taskqueue.Count == 0) return null; else { processed++; return taskqueue.Dequeue(); } } } public static string FileNameToHash(string s) { return FormsAuthentication.HashPasswordForStoringInConfigFile(s, "MD5"); } public bool GetThumbnail(string filename,out BitmapFrame thumbnail) { string hash; hash = FileNameToHash(filename); if (thumbnails.ContainsKey(hash)) { thumbnail=(BitmapFrame)thumbnails[hash]; return true; } AddTask(filename); thumbnail = null; return false; } private BitmapFrame LoadThumbnail(string filename) { FileStream fs; JpegBitmapDecoder bd; BitmapFrame oldbf, bf; TransformedBitmap tb; double scale, dx, dy; fs = new FileStream(filename, FileMode.Open); bd = new JpegBitmapDecoder(fs, BitmapCreateOptions.None, BitmapCacheOption.OnLoad); oldbf = bd.Frames[0]; dx = (double)oldbf.Width / width; dy = (double)oldbf.Height / height; if (dx > dy) scale = 1 / dx; else scale = 1 / dy; tb = new TransformedBitmap(oldbf, new ScaleTransform(scale, scale)); bf = BitmapFrame.Create(tb); fs.Close(); oldbf = null; bd = null; GC.Collect(); return bf; } public void Dispose() { lock(locker) { stop = true; } AddTask(null); foreach (Thread worker in workers) { worker.Join(); } wh.Close(); } private void Worker() { string curtask,hash; while (!stop) { curtask = NextTask(); if (curtask == null) wh.WaitOne(); else { if (curtask == "#resethash") thumbnails.Clear(); else { hash = FileNameToHash(curtask); try { thumbnails[hash] = LoadThumbnail(curtask); } catch { thumbnails[hash] = null; } } } } } }

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  • How to compare a memory bits in C++?

    - by Trunet
    Hi, I need help with a memory bit comparison function. I bought a LED Matrix here with 4 x HT1632C chips and I'm using it on my arduino mega2560. There're no code available for this chipset(it's not the same as HT1632) and I'm writing on my own. I have a plot function that get x,y coordinates and a color and that pixel turn on. Only this is working perfectly. But I need more performance on my display so I tried to make a shadowRam variable that is a "copy" of my device memory. Before I plot anything on display it checks on shadowRam to see if it's really necessary to change that pixel. When I enabled this(getShadowRam) on plot function my display has some, just SOME(like 3 or 4 on entire display) ghost pixels(pixels that is not supposed to be turned on). If I just comment the prev_color if's on my plot function it works perfectly. Also, I'm cleaning my shadowRam array setting all matrix to zero. variables: #define BLACK 0 #define GREEN 1 #define RED 2 #define ORANGE 3 #define CHIP_MAX 8 byte shadowRam[63][CHIP_MAX-1] = {0}; getShadowRam function: byte HT1632C::getShadowRam(byte x, byte y) { byte addr, bitval, nChip; if (x>=32) { nChip = 3 + x/16 + (y>7?2:0); } else { nChip = 1 + x/16 + (y>7?2:0); } bitval = 8>>(y&3); x = x % 16; y = y % 8; addr = (x<<1) + (y>>2); if ((shadowRam[addr][nChip-1] & bitval) && (shadowRam[addr+32][nChip-1] & bitval)) { return ORANGE; } else if (shadowRam[addr][nChip-1] & bitval) { return GREEN; } else if (shadowRam[addr+32][nChip-1] & bitval) { return RED; } else { return BLACK; } } plot function: void HT1632C::plot (int x, int y, int color) { if (x<0 || x>X_MAX || y<0 || y>Y_MAX) return; if (color != BLACK && color != GREEN && color != RED && color != ORANGE) return; char addr, bitval; byte nChip; byte prev_color = HT1632C::getShadowRam(x,y); bitval = 8>>(y&3); if (x>=32) { nChip = 3 + x/16 + (y>7?2:0); } else { nChip = 1 + x/16 + (y>7?2:0); } x = x % 16; y = y % 8; addr = (x<<1) + (y>>2); switch(color) { case BLACK: if (prev_color != BLACK) { // compare with memory to only set if pixel is other color // clear the bit in both planes; shadowRam[addr][nChip-1] &= ~bitval; HT1632C::sendData(nChip, addr, shadowRam[addr][nChip-1]); shadowRam[addr+32][nChip-1] &= ~bitval; HT1632C::sendData(nChip, addr+32, shadowRam[addr+32][nChip-1]); } break; case GREEN: if (prev_color != GREEN) { // compare with memory to only set if pixel is other color // set the bit in the green plane and clear the bit in the red plane; shadowRam[addr][nChip-1] |= bitval; HT1632C::sendData(nChip, addr, shadowRam[addr][nChip-1]); shadowRam[addr+32][nChip-1] &= ~bitval; HT1632C::sendData(nChip, addr+32, shadowRam[addr+32][nChip-1]); } break; case RED: if (prev_color != RED) { // compare with memory to only set if pixel is other color // clear the bit in green plane and set the bit in the red plane; shadowRam[addr][nChip-1] &= ~bitval; HT1632C::sendData(nChip, addr, shadowRam[addr][nChip-1]); shadowRam[addr+32][nChip-1] |= bitval; HT1632C::sendData(nChip, addr+32, shadowRam[addr+32][nChip-1]); } break; case ORANGE: if (prev_color != ORANGE) { // compare with memory to only set if pixel is other color // set the bit in both the green and red planes; shadowRam[addr][nChip-1] |= bitval; HT1632C::sendData(nChip, addr, shadowRam[addr][nChip-1]); shadowRam[addr+32][nChip-1] |= bitval; HT1632C::sendData(nChip, addr+32, shadowRam[addr+32][nChip-1]); } break; } } If helps: The datasheet of board I'm using. On page 7 has the memory mapping I'm using. Also, I have a video of display working.

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  • Lua metatable Objects cannot be purge from memory?

    - by Prometheus3k
    Hi there, I'm using a proprietary platform that reported memory usage in realtime on screen. I decided to use a Class.lua I found on http://lua-users.org/wiki/SimpleLuaClasses However, I noticed memory issues when purging object created by this using a simple Account class. Specifically, I would start with say 146k of memory used, create 1000 objects of a class that just holds an integer instance variable and store each object into a table. The memory used is now 300k I would then exit, iterating through the table and setting each element in the table to nil. But would never get back the 146k, usually after this I am left using 210k or something similar. If I run the load sequence again during the same session, it does not exceed 300k so it is not a memory leak. I have tried creating 1000 integers in a table and setting these to nil, which does give me back 146k. In addition I've tried a simpler class file (Account2.lua) that doesn't rely on a class.lua. This still incurs memory fragmentation but not as much as the one that uses Class.lua Can anybody explain what is going on here? How can I purge these objects and get back the memory? here is the code --------Class.lua------ -- class.lua -- Compatible with Lua 5.1 (not 5.0). --http://lua-users.org/wiki/SimpleLuaClasses function class(base,ctor) local c = {} -- a new class instance if not ctor and type(base) == 'function' then ctor = base base = nil elseif type(base) == 'table' then -- our new class is a shallow copy of the base class! for i,v in pairs(base) do c[i] = v end c._base = base end -- the class will be the metatable for all its objects, -- and they will look up their methods in it. c.__index = c -- expose a ctor which can be called by () local mt = {} mt.__call = function(class_tbl,...) local obj = {} setmetatable(obj,c) if ctor then ctor(obj,...) else -- make sure that any stuff from the base class is initialized! if base and base.init then base.init(obj,...) end end return obj end c.init = ctor c.instanceOf = function(self,klass) local m = getmetatable(self) while m do if m == klass then return true end m = m._base end return false end setmetatable(c,mt) return c end --------Account.lua------ --Import Class template require 'class' local classname = "Account" --Declare class Constructor Account = class(function(acc,balance) --Instance variables declared here. if(balance ~= nil)then acc.balance = balance else --default value acc.balance = 2097 end acc.classname = classname end) --------Account2.lua------ local account2 = {} account2.classname = "unnamed" account2.balance = 2097 -----------Constructor 1 do local metatable = { __index = account2; } function Account2() return setmetatable({}, metatable); end end --------Main.lua------ require 'Account' require 'Account2' MAX_OBJ = 5000; test_value = 1000; Obj_Table = {}; MODE_ACC0 = 0 --integers MODE_ACC1 = 1 --Account MODE_ACC2 = 2 --Account2 TEST_MODE = MODE_ACC0; Lua_mem = ""; print("##1) collectgarbage('count'): " .. collectgarbage('count')); function Load() for i=1, MAX_OBJ do if(TEST_MODE == MODE_ACC0 )then table.insert(Obj_Table, test_value); elseif(TEST_MODE == MODE_ACC1 )then table.insert(Obj_Table, Account(test_value)); --Account.lua elseif(TEST_MODE == MODE_ACC2 )then table.insert(Obj_Table, Account2()); --Account2.lua Obj_Table[i].balance = test_value; end end print("##2) collectgarbage('count'): " .. collectgarbage('count')); end function Purge() --metatable purge if(TEST_MODE ~= MODE_ACC0)then --purge stage 0: print("set each elements metatable to nil") for i=1, MAX_OBJ do setmetatable(Obj_Table[i], nil); end end --purge stage 1: print("set table element to nil") for i=1, MAX_OBJ do Obj_Table[i] = nil; end --purge stage 2: print("start table.remove..."); for i=1, MAX_OBJ do table.remove(Obj_Table, i); end print("...end table.remove"); --purge stage 3: print("create new object_table {}"); Obj_Table= {}; --purge stage 4: print("collectgarbage('collect')"); collectgarbage('collect'); print("##3) collectgarbage('count'): " .. collectgarbage('count')); end --Loop callback function OnUpdate() collectgarbage('collect'); Lua_mem = collectgarbage('count'); end ------------------- --NOTE: --On start of game runs Load(), another runs Purge() --Update I've updated the code with suggestions from comments below, and will post my findings later today.

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  • Quantifying the Performance of Garbage Collection vs. Explicit Memory Management

    - by EmbeddedProg
    I found this article here: Quantifying the Performance of Garbage Collection vs. Explicit Memory Management http://www.cs.umass.edu/~emery/pubs/gcvsmalloc.pdf In the conclusion section, it reads: Comparing runtime, space consumption, and virtual memory footprints over a range of benchmarks, we show that the runtime performance of the best-performing garbage collector is competitive with explicit memory management when given enough memory. In particular, when garbage collection has five times as much memory as required, its runtime performance matches or slightly exceeds that of explicit memory management. However, garbage collection’s performance degrades substantially when it must use smaller heaps. With three times as much memory, it runs 17% slower on average, and with twice as much memory, it runs 70% slower. Garbage collection also is more susceptible to paging when physical memory is scarce. In such conditions, all of the garbage collectors we examine here suffer order-of-magnitude performance penalties relative to explicit memory management. So, if my understanding is correct: if I have an app written in native C++ requiring 100 MB of memory, to achieve the same performance with a "managed" (i.e. garbage collector based) language (e.g. Java, C#), the app should require 5*100 MB = 500 MB? (And with 2*100 MB = 200 MB, the managed app would run 70% slower than the native app?) Do you know if current (i.e. latest Java VM's and .NET 4.0's) garbage collectors suffer the same problems described in the aforementioned article? Has the performance of modern garbage collectors improved? Thanks.

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  • Stack , data and address space limits on an Ubuntu server

    - by PaulDaviesC
    I am running an Ubuntu server which has around 5000 users. The users are allowed to SSH in to the system. So in order to cap the memory used up by a process I have capped the address space limits using limits.conf. So my question is , should I be limiting the data and stack ? I feel that is not required since I am capping address space. Are there any pitfalls if I do not cap the stack and data limits?

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  • High RAM usage, not seen in task manager

    - by r4dk0
    Hi! I am using Windows 7 64-bit 7600, with 4Gb of RAM. I have a serious problem, since something uses a lot of RAM(3.94Gb) and I see "stairs" in taskmanager, it rises to +3Gb RAM and it drops to about 2Gb and then rises slowly again, and suddenly drops. I tryed installing this version again and other versions, newer ones, but no effect. Ive even tryed disconnecting other harddrives while I installed it, and then installed NOD32 and updated it. How could I know what is using that much RAM? P.S.: I was suspecting superfetch service, I disabled it, restarted pc, and it didnt work, since the memory is the highest point when I login with password, it is really annoying since I need about 1minute to see my desktop, neither alone try anything else. After loging in it slowly drops and after random time it starts rising again. That doesnt happen immediately after a fresh windows install. And how the drivers go, I tryed older drivers for GPU, and newest ones.

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  • High RAM usage, not seen in task manager

    - by r4dk0
    Hi! I am using Windows 7 64-bit 7600, with 4Gb of RAM. I have a serious problem, since something uses a lot of RAM(3.94Gb) and I see "stairs" in taskmanager, it rises to +3Gb RAM and it drops to about 2Gb and then rises slowly again, and suddenly drops. I tryed installing this version again and other versions, newer ones, but no effect. Ive even tryed disconnecting other harddrives while I installed it, and then installed NOD32 and updated it. How could I know what is using that much RAM? P.S.: I was suspecting superfetch service, I disabled it, restarted pc, and it didnt work, since the memory is the highest point when I login with password, it is really annoying since I need about 1minute to see my desktop, neither alone try anything else. After loging in it slowly drops and after random time it starts rising again. That doesnt happen immediately after a fresh windows install. And how the drivers go, I tryed older drivers for GPU, and newest ones.

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  • Pointer Implementation Details in C

    - by Will Bickford
    I would like to know architectures which violate the assumptions I've listed below. Also I would like to know if any of the assumptions are false for all architectures (i.e. if any of them are just completely wrong). sizeof(int *) == sizeof(char *) == sizeof(void *) == sizeof(func_ptr *) The in-memory representation of all pointers for a given architecture is the same regardless of the data type pointed to. The in-memory representation of a pointer is the same as an integer of the same bit length as the architecture. Multiplication and division of pointer data types are only forbidden by the compiler. NOTE: Yes I know this is nonsensical. What I mean is - is there hardware support to forbid this incorrect usage? All pointer values can be casted to a single integer. In other words, what architectures still make use of segments and offsets? Incrementing a pointer is equivalent to adding sizeof(the pointed data type) to the memory address stored by the pointer. If p is an int32* then p+1 is equal to the memory address 4 bytes after p. I'm most used to pointers being used in a contiguous, virtual memory space. For that usage, I can generally get by thinking of them as addresses on a number line. See (http://stackoverflow.com/questions/1350471/pointer-comparison/1350488#1350488).

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  • read-only memory and heap memory

    - by benjamin button
    hi, AFAIK, string literals are stored in read only memory in case of C language. where is this actually present on the hardware. as per my knowledge heap is on RAM.correct me if i am wrong. how different is heap from read only memory? is it OS dependant?

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  • iPhone memory management

    - by Prazi
    I am newbie to iPhone programming. I am not using Interface Builder in my programming. I have some doubt about memory management, @property topics in iPhone. Consider the following code @interface LoadFlag : UIViewController { UIImage *flag; UIImageView *preview; } @property (nonatomic, retain) UIImageView *preview; @property (nonatomic, retain) UIImage *flag; @implementation @synthesize preview; @synthesize flag; - (void)viewDidLoad { flag = [UIImage imageNamed:@"myImage.png"]]; NSLog(@"Preview: %d\n",[preview retainCount]); //Count: 0 but shouldn't it be 1 as I am retaining it in @property in interface file preview=[[UIImageView alloc]init]; NSLog(@"Count: %d\n",[preview retainCount]); //Count: 1 preview.frame=CGRectMake(0.0f, 0.0f, 100.0f, 100.0f); preview.image = flag; [self.view addSubview:preview]; NSLog(@"Count: %d\n",[preview retainCount]); //Count: 2 [preview release]; NSLog(@"Count: %d\n",[preview retainCount]); //Count: 1 } When & Why(what is the need) do I have to set @property with retain (in above case for UIImage & UIImageView) ? I saw this statement in many sample programs but didn't understood the need of it. When I declare @property (nonatomic, retain) UIImageView *preview; statement the retain Count is 0. Why doesn't it increase by 1 inspite of retaining it in @property. Also when I declare [self.view addSubview:preview]; then retain Count increments by 1 again. In this case does the "Autorelease pool" releases for us later or we have to take care of releasing it. I am not sure but I think that the Autorelease should handle it as we didn't explicitly retained it so why should we worry of releasing it. Now, after the [preview release]; statement my count is 1. Now I don't need UIImageView anymore in my program so when and where should I release it so that the count becomes 0 and the memory gets deallocated. Again, I am not sure but I think that the Autorelease should handle it as we didn't explicitly retained it so why should we worry of releasing it. What will happen if I release it in -(void) dealloc method In the statement - flag = [UIImage imageNamed:@"myImage.png"]]; I haven't allocated any memory to flag but how can I still use it in my program. In this case if I do not allocate memory then who allocates & deallocates memory to it or is the "flag" just a reference pointing to - [UIImage imageNamed:@"myImage.png"]];. If it is a reference only then do i need to release it. Thanks in advance.

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  • ARC, worth it or not?

    - by MSK
    When I moved to Objective C (iOS) from C++ (and little Java) I had hard time understanding memory management in iOS. But now all this seems natural and I know retain, autorelease, copy and release stuff. After reading about ARC, I am wondering is there more benefits of using ARC or it is just that you dont have to worry about memory management. Before moving to ARC I wanted to know how worth is moving to ARC. XCode has "Convert to Objective C ARC" menu. Is the conversion is that simple (nothing to worry about)? Does it help me in reducing my apps memory foot-print, memory leaks etc (somehow ?) Does it has much testing impact on my apps ? What are non-obvious advantages? Any Disadvantage os moving to it?

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  • Linux configurations that would affect Java memory usage?

    - by wmacura
    Hi, Background: I have a set of java background workers I start as part of my webapp. I develop locally on Ubuntu 10.10 and deploy to an Ubuntu 10.04LTS server (a media temple (ve) instance). They're both running the same JVM: Sun JVM 1.6.0_22-b04. As part of the initialization script each worker is started with explicit Xmx, Xms, and XX:MaxPermGen settings. Yet somehow locally all 10 workers use 250MB, while on the server they use more than 2.7GB. I don't know how to begin to track this down. I thought the Ubuntu (and thus, kernel) version might make a difference, but I tried an old 10.04 VM and it behaves as expected. I've noticed that the machine does not seem to ever use memory for buffer or cache (according to htop), which seems a bit strange, but perhaps normal for a server? (edited) Some info: (server) root@devel:/app/axir/target# uname -a Linux devel 2.6.18-028stab069.5 #1 SMP Tue May 18 17:26:16 MSD 2010 x86_64 GNU/Linux (local) wiktor@beastie:~$ uname -a Linux beastie 2.6.35-25-generic #44-Ubuntu SMP Fri Jan 21 17:40:44 UTC 2011 x86_64 GNU/Linux (edited) Comparing PS output: (ps -eo "ppid,pid,cmd,rss,sz,vsz") PPID PID CMD RSS SZ VSZ (local) 1588 1615 java -cp axir-distribution. 25484 234382 937528 1615 1631 java -cp /home/wiktor/Code/ 83472 163059 652236 1615 1657 java -cp /home/wiktor/Code/ 70624 89135 356540 1615 1658 java -cp /home/wiktor/Code/ 37652 77625 310500 1615 1669 java -cp /home/wiktor/Code/ 38096 77733 310932 1615 1675 java -cp /home/wiktor/Code/ 37420 61395 245580 1615 1684 java -cp /home/wiktor/Code/ 38000 77736 310944 1615 1703 java -cp /home/wiktor/Code/ 39180 78060 312240 1615 1712 java -cp /home/wiktor/Code/ 38488 93882 375528 1615 1719 java -cp /home/wiktor/Code/ 38312 77874 311496 1615 1726 java -cp /home/wiktor/Code/ 38656 77958 311832 1615 1727 java -cp /home/wiktor/Code/ 78016 89429 357716 (server) 22522 23560 java -cp axir-distribution. 24860 285196 1140784 23560 23585 java -cp /app/axir/target/a 100764 161629 646516 23560 23667 java -cp /app/axir/target/a 72408 92682 370728 23560 23670 java -cp /app/axir/target/a 39948 97671 390684 23560 23674 java -cp /app/axir/target/a 40140 81586 326344 23560 23739 java -cp /app/axir/target/a 39688 81542 326168 They look very similar. In fact, the question now is why, if I add up the virtual memory usage on the server (3.2GB) does it more closely reflect 2.4GB of memory used (according to free), yet locally the virtual memory used adds up to a much more substantial 4.7GB but only actually uses ~250MB. It seems that perhaps memory isn't being shared as aggressively. (if that's even possible) Thank you for your help, Wiktor

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