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  • [Python] How to create a named temporary file in memory?

    - by conradlee
    I would like to use Python's tempfile module to create a temporary file that I will use for communication between processes (use of pipes is awkward). The documentation I've linked to above shows two functions that almost do what I want: tempfile.NamedTemporaryFile # For creating named tempfiles tempfile.SpooledTemporaryFile # For creating tempfiles in memory but actually I want a tempfile that is both named AND in memory. Any ideas?

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  • No HDMI Audio with GeForce 9600GT and nForce board

    - by Bobby
    I've been trying to get HDMI with sound working for the last few days, and I'm a little bit out of ideas. (I've verified that the hardware/Setup works via Windows.) aplay does not list my HDMI device: $ aplay -l **** List of PLAYBACK Hardware Devices **** card 0: NVidia [HDA NVidia], device 0: ALC662 rev1 Analog [ALC662 rev1 Analog] Subdevices: 1/1 Subdevice #0: subdevice #0 card 0: NVidia [HDA NVidia], device 1: ALC662 rev1 Digital [ALC662 rev1 Digital] Subdevices: 1/1 Subdevice #0: subdevice #0 I've already compiled the alsa drivers (1.0.24) from a snapshot (with --with-oss=no) and added the line options snd-hda-intel model=auto # Tried 3stack-dig and 6stack-dig too to /etc/modprobe.d/alsa-base.conf. Still, the device does not show up. If it is important, the HDMI TV is at the moment not configured to be part of the X session (I've tried that to, at least with X restart, and it didn't change anything). What did I miss? $ lspci 00:00.0 Host bridge: nVidia Corporation Device 07c3 (rev a2) 00:00.1 RAM memory: nVidia Corporation nForce 630i memory controller (rev a2) 00:01.0 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:01.1 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:01.2 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:01.3 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:01.4 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:01.5 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:01.6 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:02.0 RAM memory: nVidia Corporation nForce 630i memory controller (rev a1) 00:03.0 ISA bridge: nVidia Corporation MCP73 LPC Bridge (rev a2) 00:03.1 SMBus: nVidia Corporation MCP73 SMBus (rev a1) 00:03.2 RAM memory: nVidia Corporation MCP73 Memory Controller (rev a1) 00:03.4 RAM memory: nVidia Corporation MCP73 Memory Controller (rev a1) 00:04.0 USB Controller: nVidia Corporation GeForce 7100/nForce 630i USB (rev a1) 00:04.1 USB Controller: nVidia Corporation MCP73 [nForce 630i] USB 2.0 Controller (EHCI) (rev a1) 00:08.0 IDE interface: nVidia Corporation MCP73 IDE (rev a1) 00:09.0 Audio device: nVidia Corporation MCP73 High Definition Audio (rev a1) 00:0a.0 PCI bridge: nVidia Corporation MCP73 PCI Express bridge (rev a1) 00:0b.0 PCI bridge: nVidia Corporation MCP73 PCI Express bridge (rev a1) 00:0c.0 PCI bridge: nVidia Corporation MCP73 PCI Express bridge (rev a1) 00:0d.0 PCI bridge: nVidia Corporation MCP73 PCI Express bridge (rev a1) 00:0e.0 IDE interface: nVidia Corporation MCP73 IDE (rev a2) 00:0f.0 Ethernet controller: nVidia Corporation MCP73 Ethernet (rev a2) 02:00.0 VGA compatible controller: nVidia Corporation G94 [GeForce 9600 GT] (rev a1)   $ aplay -L default pulse Playback/recording through the PulseAudio sound server front:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog Front speakers surround40:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog 4.0 Surround output to Front and Rear speakers surround41:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog 4.1 Surround output to Front, Rear and Subwoofer speakers surround50:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog 5.0 Surround output to Front, Center and Rear speakers surround51:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog 5.1 Surround output to Front, Center, Rear and Subwoofer speakers surround71:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog 7.1 Surround output to Front, Center, Side, Rear and Woofer speakers iec958:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Digital IEC958 (S/PDIF) Digital Audio Output dmix:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog Direct sample mixing device dmix:CARD=NVidia,DEV=1 HDA NVidia, ALC662 rev1 Digital Direct sample mixing device dsnoop:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog Direct sample snooping device dsnoop:CARD=NVidia,DEV=1 HDA NVidia, ALC662 rev1 Digital Direct sample snooping device hw:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog Direct hardware device without any conversions hw:CARD=NVidia,DEV=1 HDA NVidia, ALC662 rev1 Digital Direct hardware device without any conversions plughw:CARD=NVidia,DEV=0 HDA NVidia, ALC662 rev1 Analog Hardware device with all software conversions plughw:CARD=NVidia,DEV=1 HDA NVidia, ALC662 rev1 Digital Hardware device with all software conversions

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  • Kanban Tools Review

    - by GeekAgilistMercenary
    The first two sessions on Sunday were Collaboration and why it is so hard and the following, which was a perfect following session was on Kanban.  While in that second session two online Saas Style Tools were mentioned; AgileZen and Leankit.  I decided right then and there that I would throw together some first impressions and setup some sample projects.  I did this by setting up an account and creating the projects. Agile Zen Account Creation Setting up the initial account required an e-mail verification, which is understandable.  Within a few seconds it was mailed out and I was logged in. Setting Up the Kanban Board The initial setup of the board was pretty easy.  I maybe clicked around an extra few times, but overall everything I needed to use the tool was immediately available.  The representation of everything was very similar to what one expects in a real Kanban Board too.  This is a HUGE plus, especially if a team is smart and places this tool in a centrally viewable area to allow for visibility. Each of the board items is just like a post it, being blue, grey, green, pink, or one of another few colors.  Dragging them onto each swim lane on the board was flawless, making changes through the work super easy and intuitive. The other thing I really liked about AgileZen is that the Kanban Board had the swim lanes setup immediately.  One can change them, but when you know you immediately need a Ready Lane, Working Lane, and a Complete Lane it is nice to just have them right in front of you in the interface.  In addition, the Backlog is simply a little tab on the left hand side.  This is perfect for the Backlog Queue.  Out of the way, with the focus on the primary items. Once  I got the items onto the board I was easily able to get back to the actual work at hand versus playing around with the tool.  The fact that it was so easy to use, fast and easy UX, and overall a great layout put me back to work on things I needed to do versus sitting a playing with the tool.  That, in the end is the key to using these tools. LeanKit Kanban Account Creation Setting up the account got me straight into the online tool.  This I thought was pretty cool. Setting Up the Kanban Board Setting up the Kanban Board within Leankit was a bit of trouble.  There were multiple UX issues in regard to process and intuitiveness.  The Leankit basically forces one to design the whole board first, making no assumptions about how the board should look.  The swim lanes in my humble opinion should be setup immediately without any manipulation with the most common lanes;  ready, working, and complete. The other UX hiccup that I had a problem with is that as soon as I managed to get the swim lanes into place, I wanted to remove the redundant Backlog Lane.  The Backlog Lane, or Backlog Bucket should be somewhere that I accidentally added as a lane.  Then on top of that I screwed up and added an item inside the lane, which then prevented me from deleting the lane.  I had to go back out of the lane manipulation, remove the item, and then remove the excess lane.  Summary Leankit wasn't a bad interface, it just wasn't as good as AgileZen.  The AgileZen interface was just better UX design overall.  AgileZen also presents a much better user interface graphical design all together.  It is much closer to what the Kanban Board would look like if it were a physical Kanban Board.  Since one of the HUGE reasons for Kanban is to increase visibility, the fact the design is similar to what a real Kanban Board is actually a pretty big deal. This is an image (click for larger) that shows the two Kanban Boards side by side.  The one on the left is AgileZen and the right is Leankit. Original Entry

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  • App Pool doesn't respect memory limits

    - by lucuma
    I am dealing with a legacy .NET app that has a memory leak. In order to try and mitigate a run away memory situation, I've set the app pool memory limits from anywhere between 500KB to 500000KB (500MB) however the app pool doesn't seem to respect the settings as I can login and view the physical memory for it (5GB and above no matter what values). This app is killing the server and I can't seem to determine how to adjust the app pool. What settings do you recommend in order to ensure this app pool doesn't exceed around 500mb of memory. Here is an example, the app pool is using 3.5GB of

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  • How is memory allocated in ESXi server?

    - by Samselvaprabu
    We have an ESXi 4.1 server with 48 GB RAM. For each VM, we are allocating 4GB of memory. Since the server will have 13 virtual machines, my manager thinks this is wrong. I am going to explain to them that ESXi will actually manage memory itself, but they asked me how much memory I allocated for the ESXi server itself. I did not allocate any (I have not even heard of an option for allocating memory for the ESXi server itself). How is memory allocated for ESXi server? How does it over-allocate/distribute RAM among virtual machines without issue?

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  • SQL Server 2005 64bit on 16GB machine uses 3.6GB memory only

    - by ArjanP
    Maximum server memory is set to the maxvalue AWE is disabled (should not be needed in 64 bit anyway) Windows Server 2008 Enterprise SP2 It is a virtual server using VMWare If I look in Task Manager the sqlservr.exe process only uses about 3.6 GB of memory. Is that number not real? Shouldn't it attempt to use all available memory? If I run DBCC MEMORYSTATUS I get: VM Reserved 16670136 VM Committed 3640664 It looks like a memory limit I shouldn't be seeing in a 64 bit environment.. how can I get SQL2005 to use more memory?

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  • Unexplained cache RAM drops on Linux machine

    - by FunkyChicken
    I run a CentOS 5.7 64 machine with 24gb ram and running kernel 2.6.18-274.12.1.el5. This machine runs only Nginx, php-fpm and Xcache as extra applications. Since about 3 weeks my memory behavior on this machine has changed and I cannot explain why. There are no crons running which flush anything like this. There are also no large numbers of files being deleted/changed during these drops. The 'cached' memory gets dropped about every few hours, but it's never a set gap between flushes, this indicates to me that some bottleneck gets reached instead. It also always seems to be when total memory usages gets to about 18GB, but again, not always exactly 18GB. This is a graph of my memory usage: As you can see in the graph the 'buffers' always stay more or less the same, it is mainly the 'cache' that gets dropped. Running vmstat -m I have outputted the memory usage just before and just after a memory drop. The output is here: http://pastebin.com/diff.php?i=hJqZqztm 'old version' being before, 'new version' being after a drop. About 3 weeks ago my server crashed during a heavy DDOS attack, after I rebooted the machine this odd behavior started. I have checked a bunch of logs, restarted the machine again, and cannot find any indication what changed. During these 'cache' memory drops, my iNode usage drops at the same time. Does anyone have any idea what might be causing this behavior? Clearly my RAM isn't full, so I am curious why this could be happening.

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  • 8GB, but have to run Windows Xp (32 Bit). Anything I can do with the additional memory?

    - by user12889
    I ordered a new computer with 8GB RAM with the plan to run Windows 7, 64Bit. Turns out now, that I need to run a 32Bit OS (XP or 7) due to some software which does not run on 64Bit yet (not even with any of the available compatibility settings / modes). Is there anything I can do with the memory above 4GB in this scenario? I'm willing to consider creative solutions like running a hypervisor under XP that offers the memory as a RAM-Disk for swapping etc. ? The software that does not run on 64Bit is CISCO VPN (there seems to be a half-working solution for that) and CISCO IP phone / webcam integration "CISCO Unified Video Advantage" (there is apparently no solution for that).

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  • 8GB, but have to run Windows Xp (32 Bit). Anything I can do with the additional memory?

    - by user12889
    I ordered a new computer with 8GB RAM with the plan to run Windows 7, 64Bit. Turns out now, that I need to run a 32Bit OS (XP or 7) due to some software which does not run on 64Bit yet (not even with any of the available compatibility settings / modes). Is there anything I can do with the memory above 4GB in this scenario? I'm willing to consider creative solutions like running a hypervisor under XP that offers the memory as a RAM-Disk for swapping etc. ? The software that does not run on 64Bit is CISCO VPN (there seems to be a half-working solution for that) and CISCO IP phone / webcam integration "CISCO Unified Video Advantage" (there is apparently no solution for that).

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  • Silverlight 4. Activator.CreateInstance uses a huge amount of memory

    - by Marco
    Hi, I have been playing a bit with Silverlight and try to port my Silverlight 3.0 application to Silverlight 4.0. My application loads different XAP files and upon a user request create an instance of a Xaml user control and adds it to the main container, in a sort of MEF approach in order I can have an extensible and pluggable application. The application is pretty huge and to keep acceptable the performances and the initial loading I have built up some helper classes to load in the background all pages and user controls that might be used later on. On Silverlight 3.0 everything was running smoothly without any problem so far. Switching to SL 4.0 I have noticed that when the process approaches to create the instances of the user controls using Activator.CreateInstance, the layout freezes unexpectedly for a minute and sometimes for more. Looking at the task manager the memory usage of IE jumps from 50MB to 400MB and sometimes to 1.5 GB. If the process won't take that much the layout is rendered properly and the memory falls back to 50 MB. Otherwise everything crashes due to out of memory exeption. Does anybody encountered the same problem? Or has anybody a solution about this tricky issue? Thans in advance Marco

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  • Get JVM to grow memory demand as needed up to size of VM limit?

    - by Ira Baxter
    We ship a Java application whose memory demand can vary quite a lot depending on the size of the data it is processing. If you don't set the max VM (virtual memory) size, quite often the JVM quits with an GC failure on big data. What we'd like to see, is the JVM requesting more memory, as GC fails to provide enough, until the total available VM is exhausted. e.g., start with 128Mb, and increase geometrically (or some other step) whenever the GC failed. The JVM ("Java") command line allows explicit setting of max VM sizes (various -Xm* commands), and you'd think that would be designed to be adequate. We try to do this in a .cmd file that we ship with the application. But if you pick any specific number, you get one of two bad behaviors: 1) if your number is small enough to work on most target systems (e.g., 1Gb), it isn't big enough for big data, or 2) if you make it very large, the JVM refuses to run on those systems whose actual VM is smaller than specified. How does one set up Java to use the available VM when needed, without knowing that number in advance, and without grabbing it all on startup?

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  • Java runs out of memory, even though I give it plenty!

    - by spitzanator
    Hey, folks. So, I'm running a java server (specifically Winstone: http://winstone.sourceforge.net/ ) Like this: java -server -Xmx12288M -jar /usr/share/java/winstone-0.9.10.jar --useSavedSessions=false --webappsDir=/var/servlets --commonLibFolder=/usr/share/java This has worked fine in the past, but now it needs to load a bunch more stuff into memory than it has before. The odd part is that, according to 'top', it has 15.0g of VIRT(ual memory) and it's RES(ident set) is 8.4g. Once it hits 8.4g, the CPU hangs at 100% (even though it's loading from disk), and eventually, I get Java's OutOfMemoryError. Presumably, the CPU hanging at 100% is Java doing garbage collection. So, my question is, what gives? I gave it 12 gigs of memory! And it's only using 8.2 gigs before it throws in the towel. What am I doing wrong? Oh, and I'm using java version "1.6.0_07" Java(TM) SE Runtime Environment (build 1.6.0_07-b06) Java HotSpot(TM) 64-Bit Server VM (build 10.0-b23, mixed mode) on Linux. Thanks, Matt

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  • Chrome is leaking memory, when jQuery is used on events?

    - by user269386
    Hi, I'm experiencing an increase of memory usage, when I use the jQuery-eventhandling in Chrome. I've tested it with IE and FF as well, but there I couldn't see a suspicious rise of memory-usage, compared to Chrome. I'm using Chrome version 4.0.223.16 (unfortunately I'm forced to use this version, here) Simple example here. Just scroll with the mousewheel in the red box and open the Chrome-taskmanager and you will see an increase of memory which won't be released anymore: <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> <script type="text/javascript" src="js/libs/jquery-1.4.2.min.js"></script> <script type="text/javascript"> jQuery(function () { jQuery("#div1").bind("mousewheel", function (event) { event.preventDefault(); }); }); </script> </head> <body> <div id="div1" style="width: 100px; height: 100px; background-color: red;"></div> </body> </html> Does anyone have experienced the same problem (or is it maybe solvend with a different version of chrome)? And does anyone have a fix for it? thanks

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  • Can shared memory be read and validated without mutexes?

    - by Bribles
    On Linux I'm using shmget and shmat to setup a shared memory segment that one process will write to and one or more processes will read from. The data that is being shared is a few megabytes in size and when updated is completely rewritten; it's never partially updated. I have my shared memory segment laid out as follows: ------------------------- | t0 | actual data | t1 | ------------------------- where t0 and t1 are copies of the time when the writer began its update (with enough precision such that successive updates are guaranteed to have differing times). The writer first writes to t1, then copies in the data, then writes to t0. The reader on the other hand reads t0, then the data, then t1. If the reader gets the same value for t0 and t1 then it considers the data consistent and valid, if not, it tries again. Does this procedure ensure that if the reader thinks the data is valid then it actually is? Do I need to worry about out-of-order execution (OOE)? If so, would the reader using memcpy to get the entire shared memory segment overcome the OOE issues on the reader side? (This assumes that memcpy performs it's copy linearly and ascending through the address space. Is that assumption valid?)

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  • Is there a safe / standard way to manage unstructured memory in C++?

    - by andand
    I'm building a toy VM that requires a block of memory for storing and accessing data elements of different types and of different sizes. I've done this by writing a wrapper class around a uint8_t[] data block of the needed size. That class has some template methods to write / read typed data elements to / from arbitrary locations in the memory block, both of which check to make certain the bounds aren't violated. These methods use memmove in what I hope is a more or less safe manner. That said, while I am willing to press on in this direction, I've got to believe that other with more expertise have been here before and might be willing to share their wisdom. In particular: 1) Is there a class in one of the C++ standards (past, present, future) that has been defined to perform a function similar to what I have outlined above? 2) If not, is there a (preferably free as in beer) library out there that does? 3) Short of that, besides bounds checking and the inevitable issue of writing one type to a memory location and reading a different from that location, are there other issues I should be aware of? Thanks.-&&

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  • Objective-C / Cocoa: Uploading Images, Working Memory, And Storage.

    - by Finley Still
    Hello. I'm in the process of porting an application originally in java to cocoa, but I'm rewriting it to make it much better, since I prefer cocoa a lot anyway. One of the problems I had in the application, was that when you uploaded images to it, I had the images created, (as say an NSImage object) and then I just had them sitting in memory, the more I uploaded the more memory they took up, and I ended up running out of memory. My question is this: if I am going to have users upload images to this application in cocoa, how should I go about storing them? I don't just want to copy the file paths, because I want what is saved to contain the images, etc. Is there any way to upload an image and copy it into a different place only for my application? Then load that image with the new path name as needed? Only I would like it all to be consolidated. I'm going to implement saving by archiving one "master" object into an NSData*- so I'd like the images to be saved with that. Is there a temporary location maybe where I could write the images to disk for my application, and then when I saved, they would all be archived into a single file? Also, how do I do this? Thanks.

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  • Why does this program take up so much memory?

    - by Adrian
    I am learning Objective-C. I am trying to release all of the memory that I use. So, I wrote a program to test if I am doing it right: #import <Foundation/Foundation.h> #define DEFAULT_NAME @"Unknown" @interface Person : NSObject { NSString *name; } @property (copy) NSString * name; @end @implementation Person @synthesize name; - (void) dealloc { [name release]; [super dealloc]; } - (id) init { if (self = [super init]) { name = DEFAULT_NAME; } return self; } @end int main (int argc, const char * argv[]) { NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init]; Person *person = [[Person alloc] init]; NSString *str; int i; for (i = 0; i < 1e9; i++) { str = [NSString stringWithCString: "Name" encoding: NSUTF8StringEncoding]; person.name = str; [str release]; } [person release]; [pool drain]; return 0; } I am using a mac with snow leopard. To test how much memory this is using, I open Activity Monitor at the same time that it is running. After a couple of seconds, it is using gigabytes of memory. What can I do to make it not use so much?

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  • Why does this code sample produce a memory leak?

    - by citronas
    In the university we were given the following code sample and we were being told, that there is a memory leak when running this code. The sample should demonstrate that this is a situation where the garbage collector can't work. As far as my object oriented programming goes, the only codeline able to create a memory leak would be items=Arrays.copyOf(items,2 * size+1); The documentation says, that the elements are copied. Does that mean the reference is copied (and therefore another entry on the heap is created) or the object itself is being copied? As far as I know, Object and therefore Object[] are implemented as a reference type. So assigning a new value to 'items' would allow the garbage collector to find that the old 'item' is no longer referenced and can therefore be collected. In my eyes, this the codesample does not produce a memory leak. Could somebody prove me wrong? =) import java.util.Arrays; public class Foo { private Object[] items; private int size=0; private static final int ISIZE=10; public Foo() { items= new Object[ISIZE]; } public void push(final Object o){ checkSize(); items[size++]=o; } public Object pop(){ if (size==0) throw new ///... return items[--size]; } private void checkSize(){ if (items.length==size){ items=Arrays.copyOf(items,2 * size+1); } } }

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  • What is the point of having a key_t if what will be the key to access shared memory is the return value of shmget()?

    - by devoured elysium
    When using shared memory, why should we care about creating a key key_t ftok(const char *path, int id); in the following bit of code? key_t key; int shmid; key = ftok("/home/beej/somefile3", 'R'); shmid = shmget(key, 1024, 0644 | IPC_CREAT); From what I've come to understand, what is needed to access a given shared memory is the shmid, not the key. Or am I wrong? If what we need is the shmid, what is the point in not just creating a random key every time? Edit @link text one can read: What about this key nonsense? How do we create one? Well, since the type key_t is actually just a long, you can use any number you want. But what if you hard-code the number and some other unrelated program hardcodes the same number but wants another queue? The solution is to use the ftok() function which generates a key from two arguments. Reading this, it gives me the impression that what one needs to attach to a shared-memory block is the key. But this isn't true, is it? Thanks

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  • Can I use all my RAM for application data?

    - by gsedej
    Hi! I have yet another question about "where is my Linux memory" Question goes: can I use cache for application data? On my laptop I have 1GB ram. Situation after some time of work: browser takes 400MB and all other apps caa 300MB (quickly summed in system monitor). System monitor says I use 90% of RAM and I have already 200MB on swap. Laptop is getting slower when I start new things (e.g. open new tab in browser or open new Nautilus window). probably putting memory on swap So there should be 1200MB (ram+swap) used but all app I see uses only 600MB. Where are other 600MB? Out of this 600MB there is 400MB real RAM. I am not copying or any other massive IO activity. I read about Linux smartly uses all ram it has using buffers and cache. So, kernel (cache) uses 300MB. What if I don't want to have disk mirrored and I want to use memory for application data (e.g. new browser tab)? I don't need 200MB of mirrored disk data, because I (for example) won't use open the same photos on data partition I just seen. So can I use all my RAM for application data? (including browser, desktop, xorg, other services). How?

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  • Why Are Minimized Programs Often Slow to Open Again?

    - by Jason Fitzpatrick
    It seems particularly counterintuitive: you minimize an application because you plan on returning to it later and wish to skip shutting the application down and restarting it later, but sometimes maximizing it takes even longer than launching it fresh. What gives? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-driven grouping of Q&A web sites. The Question SuperUser reader Bart wants to know why he’s not saving any time with application minimization: I’m working in Photoshop CS6 and multiple browsers a lot. I’m not using them all at once, so sometimes some applications are minimized to taskbar for hours or days. The problem is, when I try to maximize them from the taskbar – it sometimes takes longer than starting them! Especially Photoshop feels really weird for many seconds after finally showing up, it’s slow, unresponsive and even sometimes totally freezes for minute or two. It’s not a hardware problem as it’s been like that since always on all on my PCs. Would I also notice it after upgrading my HDD to SDD and adding RAM (my main PC holds 4 GB currently)? Could guys with powerful pcs / macs tell me – does it also happen to you? I guess OSes somehow “focus” on active software and move all the resources away from the ones that run, but are not used. Is it possible to somehow set RAM / CPU / HDD priorities or something, for let’s say, Photoshop, so it won’t slow down after long period of inactivity? So what is the deal? Why does he find himself waiting to maximize a minimized app? The Answer SuperUser contributor Allquixotic explains why: Summary The immediate problem is that the programs that you have minimized are being paged out to the “page file” on your hard disk. This symptom can be improved by installing a Solid State Disk (SSD), adding more RAM to your system, reducing the number of programs you have open, or upgrading to a newer system architecture (for instance, Ivy Bridge or Haswell). Out of these options, adding more RAM is generally the most effective solution. Explanation The default behavior of Windows is to give active applications priority over inactive applications for having a spot in RAM. When there’s significant memory pressure (meaning the system doesn’t have a lot of free RAM if it were to let every program have all the RAM it wants), it starts putting minimized programs into the page file, which means it writes out their contents from RAM to disk, and then makes that area of RAM free. That free RAM helps programs you’re actively using — say, your web browser — run faster, because if they need to claim a new segment of RAM (like when you open a new tab), they can do so. This “free” RAM is also used as page cache, which means that when active programs attempt to read data on your hard disk, that data might be cached in RAM, which prevents your hard disk from being accessed to get that data. By using the majority of your RAM for page cache, and swapping out unused programs to disk, Windows is trying to improve responsiveness of the program(s) you are actively using, by making RAM available to them, and caching the files they access in RAM instead of the hard disk. The downside of this behavior is that minimized programs can take a while to have their contents copied from the page file, on disk, back into RAM. The time increases the larger the program’s footprint in memory. This is why you experience that delay when maximizing Photoshop. RAM is many times faster than a hard disk (depending on the specific hardware, it can be up to several orders of magnitude). An SSD is considerably faster than a hard disk, but it is still slower than RAM by orders of magnitude. Having your page file on an SSD will help, but it will also wear out the SSD more quickly than usual if your page file is heavily utilized due to RAM pressure. Remedies Here is an explanation of the available remedies, and their general effectiveness: Installing more RAM: This is the recommended path. If your system does not support more RAM than you already have installed, you will need to upgrade more of your system: possibly your motherboard, CPU, chassis, power supply, etc. depending on how old it is. If it’s a laptop, chances are you’ll have to buy an entire new laptop that supports more installed RAM. When you install more RAM, you reduce memory pressure, which reduces use of the page file, which is a good thing all around. You also make available more RAM for page cache, which will make all programs that access the hard disk run faster. As of Q4 2013, my personal recommendation is that you have at least 8 GB of RAM for a desktop or laptop whose purpose is anything more complex than web browsing and email. That means photo editing, video editing/viewing, playing computer games, audio editing or recording, programming / development, etc. all should have at least 8 GB of RAM, if not more. Run fewer programs at a time: This will only work if the programs you are running do not use a lot of memory on their own. Unfortunately, Adobe Creative Suite products such as Photoshop CS6 are known for using an enormous amount of memory. This also limits your multitasking ability. It’s a temporary, free remedy, but it can be an inconvenience to close down your web browser or Word every time you start Photoshop, for instance. This also wouldn’t stop Photoshop from being swapped when minimizing it, so it really isn’t a very effective solution. It only helps in some specific situations. Install an SSD: If your page file is on an SSD, the SSD’s improved speed compared to a hard disk will result in generally improved performance when the page file has to be read from or written to. Be aware that SSDs are not designed to withstand a very frequent and constant random stream of writes; they can only be written over a limited number of times before they start to break down. Heavy use of a page file is not a particularly good workload for an SSD. You should install an SSD in combination with a large amount of RAM if you want maximum performance while preserving the longevity of the SSD. Use a newer system architecture: Depending on the age of your system, you may be using an out of date system architecture. The “system architecture” is generally defined as the “generation” (think generations like children, parents, grandparents, etc.) of the motherboard and CPU. Newer generations generally support faster I/O (input/output), better memory bandwidth, lower latency, and less contention over shared resources, instead providing dedicated links between components. For example, starting with the “Nehalem” generation (around 2009), the Front-Side Bus (FSB) was eliminated, which removed a common bottleneck, because almost all system components had to share the same FSB for transmitting data. This was replaced with a “point to point” architecture, meaning that each component gets its own dedicated “lane” to the CPU, which continues to be improved every few years with new generations. You will generally see a more significant improvement in overall system performance depending on the “gap” between your computer’s architecture and the latest one available. For example, a Pentium 4 architecture from 2004 is going to see a much more significant improvement upgrading to “Haswell” (the latest as of Q4 2013) than a “Sandy Bridge” architecture from ~2010. Links Related questions: How to reduce disk thrashing (paging)? Windows Swap (Page File): Enable or Disable? Also, just in case you’re considering it, you really shouldn’t disable the page file, as this will only make matters worse; see here. And, in case you needed extra convincing to leave the Windows Page File alone, see here and here. Have something to add to the explanation? Sound off in the the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.     

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