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  • ObjectiveC - Releasing objects added as parameters

    - by NobleK
    Ok, here goes. Being a Java developer I'm still struggling with the memory management in ObjectiveC. I have all the basics covered, but once in a while I encounter a challenge. What I want to do is something which in Java would look like this: MyObject myObject = new MyObject(new MyParameterObject()); The constructor of MyObject class takes a parameter of type MyParameterObject which I initiate on-the-fly. In ObjectiveC I tried to do this using following code: MyObject *myObject = [[MyObject alloc] init:[[MyParameterObject alloc] init]]; However, running the Build and Analyze tool this gives me a "Potential leak of an object" warning for the MyParameter object which indeed occurs when I test it using Instruments. I do understand why this happens since I am taking ownership of the object with the alloc method and not relinquishing it, I just don't know the correct way of doing it. I tried using MyObject *myObject = [[MyObject alloc] init:[[[MyParameterObject alloc] init] autorelease]]; but then the Analyze tool told me that "Object sent -autorelease too many times". I could solve the issue by modifying the init method of MyParameterObject to say return [self autorelease]; in stead of just return self;. Analyze still warnes about a potential leak, but it doesn't actually occur. However I believe that this approach violates the convention for managing memory in ObjectiveC and I really want to do it the right way. Thanx in advance.

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  • Out of memory when creating a lot of objects C#

    - by Bas
    I'm processing 1 million records in my application, which I retrieve from a MySQL database. To do so I'm using Linq to get the records and use .Skip() and .Take() to process 250 records at a time. For each retrieved record I need to create 0 to 4 Items, which I then add to the database. So the average amount of total Items that has to be created is around 2 million. while (objects.Count != 0) { using (dataContext = new LinqToSqlContext(new DataContext())) { foreach (Object objectRecord in objects) { // Create a list of 0 - 4 Random Items and add each Item to the Object for (int i = 0; i < Random.Next(0, 4); i++) { Item item = new Item(); item.Id = Guid.NewGuid(); item.Object = objectRecord.Id; item.Created = DateTime.Now; item.Changed = DateTime.Now; dataContext.InsertOnSubmit(item); } } dataContext.SubmitChanges(); } amountToSkip += 250; objects = objectCollection.Skip(amountToSkip).Take(250).ToList(); } Now the problem arises when creating the Items. When running the application (and not even using dataContext) the memory increases consistently. It's like the items are never getting disposed. Does anyone notice what I'm doing wrong? Thanks in advance!

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  • Setting synthesized arrays causing memory leaks using nested arrays

    - by webtoad
    Hello: Why is the following code causing a memory leak in an iPhone App? All of the initted objects below leak, including the arrays, the strings and the numbers. So, I'm thinking it has something to do with the the synthesized array property not releasing the object when I set the property again on the second and subsequent time this piece of code is called. Here is the code: "controller" (below) is my custom view controller class, which I have a reference to, and I am setting with this code snippet: sqlite3_stmt *statement; NSMutableArray *foo_IDs = [[NSMutableArray alloc] init]; NSMutableArray *foo_Names = [[NSMutableArray alloc] init]; NSMutableArray *foo_IDsBySection = [[NSMutableArray alloc] init]; NSMutableArray *foo_NamesBySection = [[NSMutableArray alloc] init]; // Get data: NSString *sql = @"select distinct p.foo_ID, p.foo_Name from foo as p "; if (sqlite3_prepare_v2(...) == SQLITE_OK) { while (sqlite3_step(statement) == SQLITE_ROW) { int p_id; NSString *foo_Name; p_id = sqlite3_column_int(statement, 0); char *str2 = (char *)sqlite3_column_text(statement, 1); foo_Name = [NSString stringWithCString:str2]; [foo_IDs addObject:[NSNumber numberWithInt:p_id]]; [foo_Names addObject:foo_Name]; } sqlite3_finalize(statement); } // Pass the array itself into another array: // (normally there is more than one array in each array) [foo_IDsBySection addObject: foo_IDs]; [foo_NamesBySection addObject: foo_Names]; [foo_IDs release]; [foo_Names release]; // Set some synthesized properties (of type NSArray, nonatomic, // retain) in controller: controller.foo_IDsBySection = foo_IDsBySection; controller.foo_NamesBySection = foo_NamesBySection; [foo_IDsBySection release]; [foo_NamesBySection release]; Thanks for any help!

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  • Out-of-memory algorithms for addressing large arrays

    - by reve_etrange
    I am trying to deal with a very large dataset. I have k = ~4200 matrices (varying sizes) which must be compared combinatorially, skipping non-unique and self comparisons. Each of k(k-1)/2 comparisons produces a matrix, which must be indexed against its parents (i.e. can find out where it came from). The convenient way to do this is to (triangularly) fill a k-by-k cell array with the result of each comparison. These are ~100 X ~100 matrices, on average. Using single precision floats, it works out to 400 GB overall. I need to 1) generate the cell array or pieces of it without trying to place the whole thing in memory and 2) access its elements (and their elements) in like fashion. My attempts have been inefficient due to reliance on MATLAB's eval() as well as save and clear occurring in loops. for i=1:k [~,m] = size(data{i}); cur_var = ['H' int2str(i)]; %# if i == 1; save('FileName'); end; %# If using a single MAT file and need to create it. eval([cur_var ' = cell(1,k-i);']); for j=i+1:k [~,n] = size(data{j}); eval([cur_var '{i,j} = zeros(m,n,''single'');']); eval([cur_var '{i,j} = compare(data{i},data{j});']); end save(cur_var,cur_var); %# Add '-append' when using a single MAT file. clear(cur_var); end The other thing I have done is to perform the split when mod((i+j-1)/2,max(factor(k(k-1)/2))) == 0. This divides the result into the largest number of same-size pieces, which seems logical. The indexing is a little more complicated, but not too bad because a linear index could be used. Does anyone know/see a better way?

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  • Memory Leakage using datatables

    - by Vix
    Hi, I have situation in which i'm compelled to retrieve 30,000 records each to 2 datatables.I need to do some manipulations and insert into records into the SQL server in Manipulate(dt1,dt2) function.I have to do this in 15 times as you can see in the for loop.Now I want to know what would be the effective way in terms of memory usage.I've used the first approach.Please suggest me the best approach. (1) for (int i = 0; i < 15; i++) { DataTable dt1 = GetInfo(i); DataTable dt2 = GetData(i); Manipulate(dt1,dt2); } (OR) (2) DataTable dt1 = new DataTable(); DataTable dt2 = new DataTable(); for (int i = 0; i < 15; i++) { dt1=null; dt2=null; dt1 = GetInfo(); dt2 = GetData(); Manipulate(dt1, dt2); } Thanks, Vix.

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  • SQL Server 2008 R2 still requires a trace flag for Lock Pages in Memory

    - by AaronBertrand
    Almost two years ago, I blogged that Lock Pages in Memory was finally available to Standard Edition customers (Enterprise Edition customers had long been deemed smart enough to not abuse this feature). In addition to applying a cumulative update (2005 SP3 CU4 or 2008 SP1 CU2), in order to take advantage of LPIM, you also had to enable trace flag 845. Since the trace flag isn't documented for SQL Server 2008 R2, several of us in the community assumed that it was no longer required (since it was introduced...(read more)

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  • SQL Server 2008 R2 still requires a trace flag for Lock Pages in Memory

    - by AaronBertrand
    Almost two years ago, I blogged that Lock Pages in Memory was finally available to Standard Edition customers (Enterprise Edition customers had long been deemed smart enough to not abuse this feature). In addition to applying a cumulative update (2005 SP3 CU4 or 2008 SP1 CU2), in order to take advantage of LPIM, you also had to enable trace flag 845. Since the trace flag isn't documented for SQL Server 2008 R2, several of us in the community assumed that it was no longer required (since it was introduced...(read more)

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  • Random memory corruption going undetected by memtest86

    - by sds
    Thinkpad t520; Ubuntu 12.04.1 LTS; 3.2.0-33-generic 16GB of ram Memtest86+ ran for 26 hours, 9 passes, no errors Booted into "recovery mode"; Ran fsck all filesystems - no errors; "check all packages" - no errors apparent random memory corruption: perl/R/chrome segfault every now and then, seemingly at random; sort(1) produces corrupt unsorted files. What could be possibly wrong and how do I debug it?

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  • MySQL Memory usage

    - by Rob Stevenson-Leggett
    Our MySQL server seems to be using a lot of memory. I've tried looking for slow queries and queries with no index and have halved the peak CPU usage and Apache memory usage but the MySQL memory stays constantly at 2.2GB (~51% of available memory on the server). Here's the graph from Plesk. Running top in the SSH window shows the same figures. Does anyone have any ideas on why the memory usage is constant like this and not peaks and troughs with usage of the app? Here's the output of the MySQL Tuning Primer script: -- MYSQL PERFORMANCE TUNING PRIMER -- - By: Matthew Montgomery - MySQL Version 5.0.77-log x86_64 Uptime = 1 days 14 hrs 4 min 21 sec Avg. qps = 22 Total Questions = 3059456 Threads Connected = 13 Warning: Server has not been running for at least 48hrs. It may not be safe to use these recommendations To find out more information on how each of these runtime variables effects performance visit: http://dev.mysql.com/doc/refman/5.0/en/server-system-variables.html Visit http://www.mysql.com/products/enterprise/advisors.html for info about MySQL's Enterprise Monitoring and Advisory Service SLOW QUERIES The slow query log is enabled. Current long_query_time = 1 sec. You have 6 out of 3059477 that take longer than 1 sec. to complete Your long_query_time seems to be fine BINARY UPDATE LOG The binary update log is NOT enabled. You will not be able to do point in time recovery See http://dev.mysql.com/doc/refman/5.0/en/point-in-time-recovery.html WORKER THREADS Current thread_cache_size = 0 Current threads_cached = 0 Current threads_per_sec = 2 Historic threads_per_sec = 0 Threads created per/sec are overrunning threads cached You should raise thread_cache_size MAX CONNECTIONS Current max_connections = 100 Current threads_connected = 14 Historic max_used_connections = 20 The number of used connections is 20% of the configured maximum. Your max_connections variable seems to be fine. INNODB STATUS Current InnoDB index space = 6 M Current InnoDB data space = 18 M Current InnoDB buffer pool free = 0 % Current innodb_buffer_pool_size = 8 M Depending on how much space your innodb indexes take up it may be safe to increase this value to up to 2 / 3 of total system memory MEMORY USAGE Max Memory Ever Allocated : 2.07 G Configured Max Per-thread Buffers : 274 M Configured Max Global Buffers : 2.01 G Configured Max Memory Limit : 2.28 G Physical Memory : 3.84 G Max memory limit seem to be within acceptable norms KEY BUFFER Current MyISAM index space = 4 M Current key_buffer_size = 7 M Key cache miss rate is 1 : 40 Key buffer free ratio = 81 % Your key_buffer_size seems to be fine QUERY CACHE Query cache is supported but not enabled Perhaps you should set the query_cache_size SORT OPERATIONS Current sort_buffer_size = 2 M Current read_rnd_buffer_size = 256 K Sort buffer seems to be fine JOINS Current join_buffer_size = 132.00 K You have had 16 queries where a join could not use an index properly You should enable "log-queries-not-using-indexes" Then look for non indexed joins in the slow query log. If you are unable to optimize your queries you may want to increase your join_buffer_size to accommodate larger joins in one pass. Note! This script will still suggest raising the join_buffer_size when ANY joins not using indexes are found. OPEN FILES LIMIT Current open_files_limit = 1024 files The open_files_limit should typically be set to at least 2x-3x that of table_cache if you have heavy MyISAM usage. Your open_files_limit value seems to be fine TABLE CACHE Current table_cache value = 64 tables You have a total of 426 tables You have 64 open tables. Current table_cache hit rate is 1% , while 100% of your table cache is in use You should probably increase your table_cache TEMP TABLES Current max_heap_table_size = 16 M Current tmp_table_size = 32 M Of 15134 temp tables, 9% were created on disk Effective in-memory tmp_table_size is limited to max_heap_table_size. Created disk tmp tables ratio seems fine TABLE SCANS Current read_buffer_size = 128 K Current table scan ratio = 2915 : 1 read_buffer_size seems to be fine TABLE LOCKING Current Lock Wait ratio = 1 : 142213 Your table locking seems to be fine The app is a facebook game with about 50-100 concurrent users. Thanks, Rob

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  • How In-Memory Database Objects Affect Database Design: The Conceptual Model

    - by drsql
    After a rather long break in the action to get through some heavy tech editing work (paid work before blogging, I always say!) it is time to start working on this presentation about In-Memory Databases. I have been trying to decide on the scope of the demo code in the back of my head, and I have added more and taken away bits and pieces over time trying to find the balance of "enough" complexity to show data integrity issues and joins, but not so much that we get lost in the process of trying to...(read more)

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  • How In-Memory Database Objects Affect Database Design: The Conceptual Model

    - by drsql
    After a rather long break in the action to get through some heavy tech editing work (paid work before blogging, I always say!) it is time to start working on this presentation about In-Memory Databases. I have been trying to decide on the scope of the demo code in the back of my head, and I have added more and taken away bits and pieces over time trying to find the balance of "enough" complexity to show data integrity issues and joins, but not so much that we get lost in the process of trying to...(read more)

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  • Reduce memory usage

    - by Flintoff
    I have just installed the standard default desktop configuration of Ubuntu 12.10 (Quantal Quetzal). My PC only has 1GB of RAM and is struggling a little. What steps can I take to reduce the memory overhead of the standard install? If it makes a difference, I use Firefox, and a terminal most of the time. Simply running those two applications I see: free -m total used free shared buffers cached Mem: 938 873 64 0 5 167 -/+ buffers/cache: 701 237 Swap: 959 158 801

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  • non-volatile virtual memory for C++ containers

    - by arieberman
    Is there a virtual memory management process that would allow a program to use the standard container structures and classes, but retain these structures and their data when the program is not running (or being used), for use by the program at a later time? This should be possible, but can it be done without changing the source code and its (container) declarations? Is there a standard way of doing this?

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  • UIImageWriteToSavedPhotosAlbum showing memory leak with iPhone connected to Instruments

    - by user168739
    Hi, I'm using version 3.0.1 of the SDK. With the iPhone connected to Instruments I'm getting a memory leak when I call UIImageWriteToSavedPhotosAlbum. Below is my code: NSString *gnTmpStr = [NSString stringWithFormat:@"%d", count]; UIImage *ganTmpImage = [UIImage imageWithContentsOfFile:[[NSBundle mainBundle] pathForResource:gnTmpStr ofType:@"jpg"]]; // Request to save the image to camera roll UIImageWriteToSavedPhotosAlbum(ganTmpImage, self, @selector(imageSavedToPhotosAlbum:didFinishSavingWithError:contextInfo:), nil); and the selector method - (void)imageSavedToPhotosAlbum:(UIImage *)image didFinishSavingWithError:(NSError *)error contextInfo:(void *)contextInfo { NSString *message; NSString *title; if (!error) { title = @"Wallpaper"; message = @"Wallpaper Saved"; } else { title = @"Error"; message = [error description]; } UIAlertView *alert = [[UIAlertView alloc] initWithTitle:title message:message delegate:self cancelButtonTitle:@"OK" otherButtonTitles:nil]; [alert show]; [alert release]; } Am I forgetting to release something once the image has been saved and the selector method imageSavedToPhotosAlbum is called? Or is there a possible known issue with UIImageWriteToSavedPhotosAlbum? Here is the stack trace from Instruments: Leaked Object: GeneralBlock-3584 size: 3.50 KB 30 MyApp start 29 MyApp main /Users/user/Desktop/MyApp/main.m:14 28 UIKit UIApplicationMain 27 UIKit -[UIApplication _run] 26 GraphicsServices GSEventRunModal 25 CoreFoundation CFRunLoopRunInMode 24 CoreFoundation CFRunLoopRunSpecific 23 GraphicsServices PurpleEventCallback 22 UIKit _UIApplicationHandleEvent 21 UIKit -[UIApplication sendEvent:] 20 UIKit -[UIWindow sendEvent:] 19 UIKit -[UIWindow _sendTouchesForEvent:] 18 UIKit -[UIControl touchesEnded:withEvent:] 17 UIKit -[UIControl(Internal) _sendActionsForEvents:withEvent:] 16 UIKit -[UIControl sendAction:to:forEvent:] 15 UIKit -[UIApplication sendAction:toTarget:fromSender:forEvent:] 14 UIKit -[UIApplication sendAction:to:from:forEvent:] 13 CoreFoundation -[NSObject performSelector:withObject:withObject:] 12 UIKit -[UIBarButtonItem(Internal) _sendAction:withEvent:] 11 UIKit -[UIApplication sendAction:to:from:forEvent:] 10 CoreFoundation -[NSObject performSelector:withObject:withObject:] 9 MyApp -[FlipsideViewController svPhoto] /Users/user/Desktop/MyApp/Classes/FlipsideViewController.m:218 8 0x317fa528 7 0x317e3628 6 0x317e3730 5 0x317edda4 4 0x3180fc74 3 Foundation +[NSThread detachNewThreadSelector:toTarget:withObject:] 2 Foundation -[NSThread start] 1 libSystem.B.dylib pthread_create 0 libSystem.B.dylib malloc I did a test with a new project and only added this code below in the viewDidLoad: NSString *gnTmpStr = [NSString stringWithFormat:@"DefaultTest"]; UIImage *ganTmpImage = [UIImage imageWithContentsOfFile:[[NSBundle mainBundle] pathForResource:gnTmpStr ofType:@"png"]]; // Request to save the image to camera roll UIImageWriteToSavedPhotosAlbum(ganTmpImage, nil, nil, nil); The same leak shows up right after the app loads Thank you for the help. Bryan

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  • Small objects allocator

    - by Felics
    Hello, Has anybody used SmallObjectAllocator from Modern C++ Design by Andrei Alexandrescu in a big project? I want to implement this allocator but I need some opinions about it before using it in my project. I made some tests and it seems very fast, but the tests were made in a small test environment. I want to know how fast it is when are lots of small objects(like events, smart pointers, etc) and how much extra memory it uses.

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  • What (tf) are the secrets behind PDF memory allocation (CGPDFDocumentRef)

    - by Kai
    For a PDF reader I want to prepare a document by taking 'screenshots' of each page and save them to disc. First approach is CGPDFDocumentRef document = CGPDFDocumentCreateWithURL((CFURLRef) someURL); for (int i = 1; i<=pageCount; i++) { NSAutoreleasePool *pool = [[NSAutoreleasePool alloc]init]; CGPDFPageRef page = CGPDFDocumentGetPage(document, i); ...//getting + manipulating graphics context etc. ... CGContextDrawPDFPage(context, page); ... UIImage *resultingImage = UIGraphicsGetImageFromCurrentImageContext(); ...//saving the image to disc [pool drain]; } CGPDFDocumentRelease(document); This results in a lot of memory which seems not to be released after the first run of the loop (preparing the 1st document), but no more unreleased memory in additional runs: MEMORY BEFORE: 6 MB MEMORY DURING 1ST DOC: 40 MB MEMORY AFTER 1ST DOC: 25 MB MEMORY DURING 2ND DOC: 40 MB MEMORY AFTER 2ND DOC: 25 MB .... Changing the code to for (int i = 1; i<=pageCount; i++) { CGPDFDocumentRef document = CGPDFDocumentCreateWithURL((CFURLRef) someURL); NSAutoreleasePool *pool = [[NSAutoreleasePool alloc]init]; CGPDFPageRef page = CGPDFDocumentGetPage(document, i); ...//getting + manipulating graphics context etc. ... CGContextDrawPDFPage(context, page); ... UIImage *resultingImage = UIGraphicsGetImageFromCurrentImageContext(); ...//saving the image to disc CGPDFDocumentRelease(document); [pool drain]; } changes the memory usage to MEMORY BEFORE: 6 MB MEMORY DURING 1ST DOC: 9 MB MEMORY AFTER 1ST DOC: 7 MB MEMORY DURING 2ND DOC: 9 MB MEMORY AFTER 2ND DOC: 7 MB .... but is obviously a step backwards in performance. When I start reading a PDF (later in time, different thread) in the first case no more memory is allocated (staying at 25 MB), while in the second case memory goes up to 20 MB (from 7). In both cases, when I remove the CGContextDrawPDFPage(context, page); line memory is (nearly) constant at 6 MB during and after all preparations of documents. Can anybody explain whats going on there?

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  • Web Services, Memory Leaks and CRM

    - by Neil
    Hi, I have a website that allows users to upload a csv file. This calls a service that reads the information from the csv, puts it into DynamicEntity objects and calls the CRM service to Create/Update entities in CRM. When this service creates/updates an entity this kicks off other plugins to apply certain business rules. These rules can also Create or Update entites in CRM. The issue here is that the handle count of the w3wp.exe process that the website is calling increases every time the an entity is created or updated and it never comes back down. I tried putting Garbage Collection code in the business rules and this reduces the handle count of the CRM w3wp process (run by the Network Service), but not the other w3wp process. Should I have Dispose methods on the Web Service that calls the CRM service? I hope that makes sense. I'm not overly familiar with memory management issues so any help is appreciated. Can anybody give me some tips on how to stop this from occurring? Thanks, Neil -- EDIT Okay well the handle count goes up when I call the Service.Create(DynamicEntity) method. I don't think placing any code here would be beneficial. When I exit the method/class/service that contains this call the handle count stays as it is. What I need to know is whether this is something I should be managing or is it something CRM takes care of (or doesn't take care of but I can't do anything about it) -- Another Edit Right this is how it works. 1) We have CRM and its related services 2) We have another service independent of CRM that uses the CRM services (number 1 above) to create entities based on csv info passed into it 3) We have a website that allows a user to upload a csv, and calls service no 2 above to Create/Update entities in CRM 4) We have plugins fired by CRM which use Service 1 above to create/update entities So the user uploads a csv to the website (3), this fires a service(2). When service 2 creates an entity using service 1, Service 4 fires. Service 4 calls also uses service 1 to Create entities, and when these services are called (using the Service.Create() method) the handle count of the process increases. When the method/class/services finish the handle count remains the same, and so when the whole process occurs again the handle count will increased again.

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  • dmidecode showing less Memory Capacity than Motherboard spec?

    - by starchx
    We got a supermicro server, http://www.supermicro.com/products/system/1u/5016/sys-5016i-ur.cfm, according spec, the server supports up to 32G memory when using ECC Register Memory. However, when I tried the dmidecode command, it says 24G max memory: [root@c1 ~]# dmidecode | grep Maximum Maximum Size: 256 kB Maximum Size: 1024 kB Maximum Size: 8192 kB Maximum Memory Module Size: 4096 MB Maximum Total Memory Size: 24576 MB Maximum Capacity: 24 GB Maximum Value: Unknown Which one I should trust?

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  • IBM memory, whats wrong, bought wrong type?

    - by michaelmore
    I have this server IBM System x3250 M3 Intel(R) Xeon(R) CPU X3450 @ 2.67GHz (8 CPUs), ~2.7GHz 2 GB PC3-10600 ECC DDR3 SDRAM HDD 500 TB Hotplug Windows server 2008 this is screenshot the default memory, micron PC3-10600R 2gb, its working well to entering windows http://freakimage.com/images/113memory_ram_micron_PC3_.jpg then i want to change to higher memory, i bought this memory, samsung PC3-10600R 4gb http://freakimage.com/images/602memory_ram_samsung_mic.jpg but its hang in uEFI boot, cant move forward to windows already googling it, no solution yet everywhere please take a look the screenshot, do i bought wrong new memory, if it is maybe i still can replace to the seller with another memory

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  • IIS 7 Application Pools using a different amount of memory on multiple servers behind a load balancer

    - by Jim March
    We have 6 servers in a web farm behind an F5. There are approximately 25 AppPools on each of these servers. On servers 1 - 5 the apppools are consuming approx 500MB Private Bytes, and 5GB Virtual Bytes. On server 6 the apppools are consuming approx 800MB Private Bytes, and 8GB Virtual Bytes. I can not seem to figure out why we have this difference. The code is the exact same on each box. We replicate the apphost.config between the boxes, so the Appplication Configs are identical. The only difference seems to be that this box consumes more RAM, and in turn ends up using a lot more CPU. During Black Friday we observed the CPU on server 6 spiking to 100% and noticed that the % Memory Commit was also near 100%, while the rest of the farm was at closer to 50% utilization. Pulling the 6th server from the load balancer dropped CPU/Memory on the 6th server back to normal, and did not cause a noticeable strain on the other servers.

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  • Hyper-v dynamic memory client machines always use maximum memory

    - by Eric P
    When I create a virtual machine in Hyper-V and set it up to use dynamic memory, the virtual machine will always use the maximum memory within the virtualized OS. Hyper-V will show the assigned memory at 514mb, but when I log into the server and pull up task manager, it will show 90% memory used. When I bump the maximum memory up to 4gb, I get the same result: 90% memory usage. Nothing is even running on the virtual machine other than a clean instal of Windows Server 2008 R2. I have also tried it with Windows 7 with the same results. Is this the expected behavior or is something setup wrong

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  • About memory cache of Linux

    - by cheneydeng
    I'm running a python script to do some statistics and the actually memory which used is low,about 10%.And no other process cost more memory.However,when i use free -m and it shows that almost 95% memory has been used.The point is that my script should do a lot of read from files,so i wonder if there's any mechanism of Linux memory cache that caused the problem?echo 1 >> /proc/sys/vm/drop_caches works,but it seems manually.How can i reduce the memory cost and doesn't make a bad effect on reading files?

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  • Debian Squeeze and available memory (1GB absent)

    - by user66279
    Hi, here I've a dedicated server with 12GB RAM and running Debian Lenny x64. dmesg | grep Memory [ 0.004000] Memory: 11917152k/12259740k available (2279k kernel code, 333820k reserved, 1022k data, 216k init) Since some days, I've another dedicated server (nearly same hardware), but with Debian Squeeze x64 (installed via debootstrap, Kernel 2.6.32-5-xen-amd64) dmesg | grep Memory [ 1.551510] Memory: 6864620k/8151916k available (3146k kernel code, 1057736k absent, 229560k reserved, 1901k data, 600k init) what does absent memory mean? And how can I get 1GB of RAM back?

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  • What is the effect of running an application with "Unlimited Stack" size

    - by NSA
    Hello All, I have inherited some code that I need to maintain that can be less than stable at times. The previous people are no longer available to query as to why they ran the application in an environment with unlimited stack set, I am curious what the effects of this could be? The application seems to have some unpredictable memory bugs that we cannot find and running the application under valgrind is not an option because it slows the application down so much that we cannot actually run it. So any thoughts on what the effects of this might be are appreciated. Thank you.

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