Search Results

Search found 13889 results on 556 pages for 'scratch memory'.

Page 225/556 | < Previous Page | 221 222 223 224 225 226 227 228 229 230 231 232  | Next Page >

• GCC/XCode equivalent of _CrtCheckMemory?

  - by Chris Becke

  When dealing with random memory overwrites, in MSVC it is possible to validate the state of the heap at various points with a call to _CrtCheckMemory, and know with at least a small level of confidence that the code up until the check was not responsible for any errors that might cause new or malloc to fail later. In XCode, whats the equivalent way to try and box in a memory overwrite? All I have at the moment is a random failure of a call to new, somewhere deep in the bowels of some code with no real idea of how long the code has been running with a corrupt heap up until that point.

  Read the article

• User/Group Policies in Windows 2000 domain controller

  - by Chris

  In Server 2000 active directory, I have 5 groups of users and every user has different policies. The problem is that a different desktop loads for only one specific user no matter what changes I make in administrative templates. If I copy this user profile and paste it into another group with a different name, windows workaround loads as it should, but some policies are not applied. Does anybody know a way to solve this problem instead of creating a new group and user from scratch?

  Read the article

• User/Group Policies in Windows 2000 domain controller

  - by Chris

  In Server 2000 active directory, I have 5 groups of users and every user has different policies. The problem is that a different desktop loads for only one specific user no matter what changes I make in administrative templates. If I copy this user profile and paste it into another group with a different name, windows workaround loads as it should, but some policies are not applied. Does anybody know a way to solve this problem instead of creating a new group and user from scratch?

  Read the article

• [Python] How do I read binary pickle data first, then unpickle it?

  - by conradlee

  I'm unpickling a NetworkX object that's about 1GB in size on disk. Although I saved it in the binary format (using protocol 2), it is taking a very long time to unpickle this file---at least half an hour. The system I'm running on has plenty of system memory (128 GB), so that's not the bottleneck. I've read here that pickling can be sped up by first reading the entire file into memory, and then unpickling it (that particular thread refers to python 3.0, which I'm not using, but the point should still be true in python 2.6). How do I first read the binary file, and then unpickle it? I have tried: import cPickle as pickle f = open("big_networkx_graph.pickle","rb") bin_data = f.read() graph_data = pickle.load(bin_data) But this returns: TypeError: argument must have 'read' and 'readline' attributes Any ideas?

  Read the article

• How can I create the XML::Simple data structure using a Perl XML SAX parser?

  - by DVK

  Summary: I am looking a fast XML parser (most likely a wrapper around some standard SAX parser) which will produce per-record data structure 100% identical to those produced by XML::Simple. Details: We have a large code infrastructure which depends on processing records one-by-one and expects the record to be a data structure in a format produced by XML::Simple since it always used XML::Simple since early Jurassic era. An example simple XML is: <root> <rec><f1>v1</f1><f2>v2</f2></rec> <rec><f1>v1b</f1><f2>v2b</f2></rec> <rec><f1>v1c</f1><f2>v2c</f2></rec> </root> And example rough code is: sub process_record { my ($obj, $record_hash) = @_; # do_stuff } my $records = XML::Simple->XMLin(@args)->{root}; foreach my $record (@$records) { $obj->process_record($record) }; As everyone knows XML::Simple is, well, simple. And more importantly, it is very slow and a memory hog—due to being a DOM parser and needing to build/store 100% of data in memory. So, it's not the best tool for parsing an XML file consisting of large amount of small records record-by-record. However, re-writing the entire code (which consist of large amount of "process_record"-like methods) to work with standard SAX parser seems like an big task not worth the resources, even at the cost of living with XML::Simple. I'm looking for an existing module which will probably be based on a SAX parser (or anything fast with small memory footprint) which can be used to produce $record hashrefs one by one based on the XML pictured above that can be passed to $obj->process_record($record) and be 100% identical to what XML::Simple's hashrefs would have been. I don't care much what the interface of the new module is; e.g whether I need to call next_record() or give it a callback coderef accepting a record.

  Read the article

• Inserting rows while fetching(from another table) in SQLite

  - by Samuel

  I'm getting this error no matter what with python and sqlite. File "addbooks.py", line 77, in saveBook conn.commit() sqlite3.OperationalError: cannot commit transaction - SQL statements in progress The code looks like this: conn = sqlite3.connect(fname) cread = conn.cursor() cread.execute('''select book_text from table''') while True: row = cread.fetchone() if row is None: break .... for entry in getEntries(doc): saveBook(entry, conn) Can't do a fetchall() because table and column size are big, and the memory is scarce. What can be done without resorting to dirty tricks(as getting the rowids in memory, which would probably fit, and then selecting the rows one by one)?.

  Read the article

• How to configure RHEL so users can access an app GUI remotely

  - by Rhyuk

  I have an application installed in my RHEL6 box that has a GUI (AppGui.sh). My problem is that a few non-tech users would like to access this GUI remotely. I've tried several guides over the internet but I still cant make it work. I tried: -Installing X Window System -Enabling FORWARDX11=yes in my sshd_config -Exporting $DISPLAY variable -Connecting through ssh -X user@host (simply stays there) How can I setup my box from scratch to make this work?

  Read the article

• Monitor and Terminate Python script based on system resource use

  - by Vincent

  What is the "right" or "best" way to monitor the system resources a python script is using and terminate it if the resource use exceeds some predetermined values. In my case memory usage is of concern. I am not asking how to measure the system resource use although I am open to suggestions. As a simple example, let's assume I have a function that finds prime numbers less than some large number and adds them to a list based on some condition. I don't know ahead of time how many prime numbers will satisfy the condition so I what to be sure to terminate the function if I use up to much system memory (8gb lets say). I know that there are ways to monitor the size of python objects. What I don't know is the proper way to monitor the size of the list and exit is to just include a size test in the prime function loop and exit if it exceeds 8gb or if there is an "external" way to monitor and exit.

  Read the article

• A PHP object server for business logic

  - by Matthieu

  I wonder if such a thing is possible or even exist : In the MVC pattern, I would like to have the Model part to be persistant in memory, instead of reloading my instances at each execution. So I want only the Controller and View part to be executed. Is there any solution of server that would provide PHP objects (just like a Mysql server provides data records), and that keeps these objects in memory ? A problem would be also : how to have a constructed query to get objects ? Maybe PHP Linq ?

  Read the article

• CUDA small kernel 2d convolution - how to do it

  - by paulAl

  I've been experimenting with CUDA kernels for days to perform a fast 2D convolution between a 500x500 image (but I could also vary the dimensions) and a very small 2D kernel (a laplacian 2d kernel, so it's a 3x3 kernel.. too small to take a huge advantage with all the cuda threads). I created a CPU classic implementation (two for loops, as easy as you would think) and then I started creating CUDA kernels. After a few disappointing attempts to perform a faster convolution I ended up with this code: http://www.evl.uic.edu/sjames/cs525/final.html (see the Shared Memory section), it basically lets a 16x16 threads block load all the convolution data he needs in the shared memory and then performs the convolution. Nothing, the CPU is still a lot faster. I didn't try the FFT approach because the CUDA SDK states that it is efficient with large kernel sizes. Whether or not you read everything I wrote, my question is: how can I perform a fast 2D convolution between a relatively large image and a very small kernel (3x3) with CUDA?

  Read the article

• Strange error with CreateCompatibleDC

  - by sevaxx

  Maybe this is a foolish question, I can't see why I can not get a DC created in the following code : HBITMAP COcrDlg::LoadClippedBitmap(LPCTSTR pathName,UINT maxWidth,UINT maxHeight) { HBITMAP hBmp = (HBITMAP)::LoadImage(NULL, pathName, IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE | LR_CREATEDIBSECTION); if (!hBmp) return NULL; HDC hdc = (HDC)GetDC(); HDC hdcMem = CreateCompatibleDC(hdc); if (!hdcMem) { DWORD err = GetLastError(); } ... ... ... The bitmap hBmp is loaded fine and hdc has a valid value. But the call to CreateCompatibleDC() returns a NULL pointer. Then, GetLastError() returns 0 ! Anybody can guess what's going on here , please ? PS : There are no memory allocations or GDI routines called before this one...so I think memory leaks should be ruled out.

  Read the article

• Python fCGI + sqlAlchemy = malformed header from script. Bad header=FROM tags : index.py

  - by crgwbr

  I'm writing an Fast-CGI application that makes use of sqlAlchemy & MySQL for persistent data storage. I have no problem connecting to the DB and setting up ORM (so that tables get mapped to classes); I can even add data to tables (in memory). But, as soon as I query the DB (and push any changes from memory to storage) I get a 500 Internal Server Error and my error.log records malformed header from script. Bad header=FROM tags : index.py, when tags is the table name. Any idea what could be causing this? Also, I don't think it matters, but its a Linux development server talking to an off-site (across the country) MySQL server.

  Read the article

• Debugging iFilter plug-in (PDF indexing)

  - by Trevor Sullivan

  I have the official Adobe x64 iFilter PDF plug-in and the FoxIt Software iFilter PDF plug-in installed, and neither one seems to be allowing me to index the contents of PDF files. So far, I've: Added my data folder into the Indexing service configuration Ensured that PDF files are configured to index "file properties and contents" Rebuilt the index from scratch But, when I search, I can only search for PDF file names, not the contents of them. Any ideas on how to debug this issue?

  Read the article

• Stack recommendations for small/medium-sized web application in Python

  - by reto

  I'm looking for some recommendations for a python web application. We have some memory restrictions and we try to keep it small and lean. We thought about using WSGI (and a python webserver) and build the rest ourself. We already have a template engine we'd like to use, but we are open for some suggestions regarding the whole request handling (the controller). The application has to run in a single process and the requests have to be processed with multiple threads. We've looked at django, but we are a not sure if it fits into our memory budget. Your feedback is very welcome! Cheers, Reto

  Read the article

• Leak caused by fread

  - by Jack

  I'm profiling code of a game I wrote and I'm wondering how it is possible that the following snippet causes an heap increase of 4kb (I'm profiling with Heapshot Analysis of Xcode) every time it is executed: u8 WorldManager::versionOfMap(FILE *file) { char magic[4]; u8 version; fread(magic, 4, 1, file); <-- this is the line fread(&version,1,1,file); fseek(file, 0, SEEK_SET); return version; } According to the profiler the highlighted line allocates 4.00Kb of memory with a malloc every time the function is called, memory which is never released. This thing seems to happen with other calls to fread around the code, but this was the most eclatant one. Is there anything trivial I'm missing? Is it something internal I shouldn't care about? Just as a note: I'm profiling it on an iPhone and it's compiled as release (-O2).

  Read the article

• C# compile finalize method's on runtime?

  - by Royi Namir

  As im reading through 3 books about GC , ive notice some strange fact : C# via CLR CriticalFinalizerObject : the CLR treats this class and classes derived from it in a very special manner what ??? "not find enough memory to COMPILE a method? " IMHO - the code should be already compiled... no ? when Im writing c# code - the whole code is compiled to IL before its running... no? but according to the text - at RUNTIME - he MAY find insufficient memory for compile... Help ?

  Read the article

• Sqlite. How to create an index in attached DB?

  - by kappa

  I have a problem with adding index to memory database attached to main database. 1) I open the database (F) from file 2) Attach the :memory: (M) database 3) Create tables in database M 4) Copy data from F to M I would also like to create an index in database M, but don't know how to do that. This code creates index but in F database: sQuery = "CREATE INDEX IF NOT EXISTS [INDID] ON [PANEL]([ID] ASC);"; I tried to add the name qualifier before table name like this: sQuery = "CREATE INDEX IF NOT EXISTS [INDID] ON [M.PANEL]([ID] ASC);"; but SQLite returns with message that column main.M.PANEL does not exist. What can I do?

  Read the article

• Tuning JVM (GC) for high responsive server application

  - by elgcom

  I am running an application server on Linux 64bit with 8 core CPUs and 6 GB memory. The server must be highly responsive. After some inspection I found that the application running on the server creates rather a huge amount of short-lived objects, and has only about 200~400 MB long-lived objects(as long as there is no memory leak) After reading http://java.sun.com/javase/technologies/hotspot/gc/gc_tuning_6.html I use these JVM options -Xms2g -Xmx2g -XX:MaxPermSize=256m -XX:NewRatio=1 -XX:+UseConcMarkSweepGC Result: the minor GC takes 0.01 ~ 0.02 sec, the major GC takes 1 ~ 3 sec the minor GC happens constantly. How can I further improve or tune the JVM? larger heap size? but will it take more time for GC? larger NewSize and MaxNewSize (for young generation)? other collector? parallel GC? is it a good idea to let major GC take place more often? and how?

  Read the article

• What wording in the C++ standard allows static_cast<non-void-type*>(malloc(N)); to work?

  - by ben

  As far as I understand the wording in 5.2.9 Static cast, the only time the result of a void*-to-object-pointer conversion is allowed is when the void* was a result of the inverse conversion in the first place. Throughout the standard there is a bunch of references to the representation of a pointer, and the representation of a void pointer being the same as that of a char pointer, and so on, but it never seems to explicitly say that casting an arbitrary void pointer yields a pointer to the same location in memory, with a different type, much like type-punning is undefined where not punning back to an object's actual type. So while malloc clearly returns the address of suitable memory and so on, there does not seem to be any way to actually make use of it, portably, as far as I have seen.

  Read the article

• Why doesn't this work?

  - by user146780

  I'v tried to solve a memory leak in the GLU callback by creating a global variable but now it dos not draw anything: GLdouble *gluptr = NULL; void CALLBACK combineCallback(GLdouble coords[3], GLdouble *vertex_data[4], GLfloat weight[4], GLdouble **dataOut) { GLdouble *vertex; if(gluptr == NULL) { gluptr = (GLdouble *) malloc(6 * sizeof(GLdouble)); } vertex = (GLdouble*)gluptr; vertex[0] = coords[0]; vertex[1] = coords[1]; vertex[2] = coords[2]; for (int i = 3; i < 6; i++) { vertex[i] = weight[0] * vertex_data[0][i] + weight[1] * vertex_data[0][i] + weight[2] * vertex_data[0][i] + weight[3] * vertex_data[0][i]; } *dataOut = vertex; } basically instead of doing malloc each time in the loop (thus the memory leak) im using a global pointer, but this doesn't work (drawing to the screen). Why would using malloc to a pointer created in the function work any different than a global variable? Thanks

  Read the article

• Windows Service suddenly doing nothing

  - by TB

  Hi, My windows service is using a Thread (not a timer) which is always looping and sleeps for 1 second every loop using : evet.WaitOne(interval); When I start the service it works fine and I can see in the task manager that it is running, consuming and releasing memory, consuming processor ... etc that is all normal, but after a while (random amount of time) the service simply stops!! it is still there in the task manager but it is not consuming any processor work now and its consumption to the memory is not changing. it simply (died but still there in the task manager like a Zombie). I know that many exceptions might have happened during running the service (it is really doing many things) but all those exceptions are handled in Try catch blocks, so why is my "always looping" thread stops ??? This thread also logs every time he loops, when he is freezig in this way he is not logging anything (of course)

  Read the article

• Lifetime of javacript variables.

  - by The Machine

  What is the lifetime of a variable in javascript, declared with "var". I am sure, it is definitely not according to expectation. <script> function(){ var a; var fun=function(){ // a is accessed and modified } }(); </script> Here how and when does javascript garbage collect the variable a? Since 'a' is a part of the closure of the inner function, it ideally should never get garbage collected, since the inner function 'fun', may be passed as a reference to an external context.So 'fun' should still be able to access 'a', from the external context. If my understanding is correct, how does garbage collection happen then, and how does it ensure to have enough memory space, since keeping all variables in memory until the execution of the program might not be tenable ?

  Read the article

• What is the maximum value for a int32?

  - by Flinkman

  I can never remember that number. I need a memory rule.

  Read the article

• C++: Best text accumulator

  - by MInner

  Text gets accumulates piecemeal before being sent to client. Now we use own class that allocates memory for each piece as char massive. (Anyway, works like char[][] + std::list<char*>). Then we build the whole string, convert it into std::sting and then create boost::asio::streambuf using it. That's slow enough, I assume. Correct me if I'm wrong. I know, in many cases simple FILE type from stdio.h is used. How does it works? Allocates memory at every write into it. So, is it faster and is there any way to read into boost::asio::streambuf from FILE?

  Read the article

• Performance of Managed C++ Vs UnManaged/native C++

  - by bsobaid

  I am writing a very high performance application that handles and processes hundreds of events every millisecond. Is Unmanaged C++ faster than managed c++? and why? Managed C++ deals with CLR instead of OS and CLR takes care of memory management, which simplifies the code and is probably also more efficient than code written by "a programmer" in unmanaged C++? or there is some other reason? When using managed, how can one then avoid dynamic memory allocation, which causes a performance hit, if it is all transparent to the programmer and handled by CLR? So coming back to my question, Is managed C++ more efficient in terms of speed than unmanaged C++ and why?

  Read the article

< Previous Page | 221 222 223 224 225 226 227 228 229 230 231 232  | Next Page >