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  • Compiling a C program with a specific architecture

    - by Marplesoft
    I was recently fighting some problems trying to compile an open source library on my Mac that depended on another library and got some errors about incompatible library architectures. Can somebody explain the concept behind compiling a C program for a specific architecture? I have seen the -arch compiler flag before and have seen values passed to it such as ppc, i386 and x86_64 which I assume maps to the CPU "language", but my understanding stops there. If one program uses a particular architecture, do all libraries that it loads need to be on the same architecture as well? How can I tell what architecture a given program/process is running under?

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  • Need to devise a number crunching algorithm

    - by Ravi Gupta
    I stumbled upon this question: 7 power 7 is 823543. Which higher power of 7 ends with 823543 ? How should I go about it ? The one I came up with is very slow, it keeps on multiplying by 7 and checks last 6 digits of the result for a match. I tried with Lou's code: int x=1; for (int i=3;i<=100000000;i=i+4){ x=(x*7)%1000000; System.out.println("i="+ i+" x= "+x); if (x==823543){ System.out.println("Ans "+i);} } And CPU sounds like a pressure cooker but couldn't get the answer :(

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  • Inserting Large volume of data in SQL Server 2005

    - by Manjoor
    We have a application (written in c#) to store live stock market price in the database (SQL Server 2005). It insert about 1 Million record in a single day. Now we are adding some more segment of market into it and the no of records would be double (2 Millions/day). Currently the average record insertion per second is about 50, maximum is 450 and minimum is 0. To check certain conditions i have used service broker (asynchronous trigger) on my price table. It is running fine at this time(about 35% CPU utilization). Now i am planning to create a in memory dataset of current stock price. we would like to do some simple calculations. I want to know different views of members on this. Please provide your way of dealing with such situation.

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  • Fast multi-window rendering with C#

    - by seb
    I've been searching and testing different kind of rendering libraries for C# days for many weeks now. So far I haven't found a single library that works well on multi-windowed rendering setups. The requirement is to be able to run the program on 12+ monitor setups (financial charting) without latencies on a fast computer. Each window needs to update multiple times every second. While doing this CPU needs to do lots of intensive and time critical tasks so some of the burden has to be shifted to GPUs. That's where hardware rendering steps in, in another words DirectX or OpenGL. I have tried GDI+ with windows forms and figured it's way too slow for my needs. I have tried OpenGL via OpenTK (on windows forms control) which seemed decently quick (I still have some tests to run on it) but painfully difficult to get working properly (hard to find/program good text rendering libraries). Recently I tried DirectX9, DirectX10 and Direct2D with Windows forms via SharpDX. I tried a separate device for each window and a single device/multiple swap chains approaches. All of these resulted in very poor performance on multiple windows. For example if I set target FPS to 20 and open 4 full screen windows on different monitors the whole operating system starts lagging very badly. Rendering is simply clearing the screen to black, no primitives rendered. CPU usage on this test was about 0% and GPU usage about 10%, I don't understand what is the bottleneck here? My development computer is very fast, i7 2700k, AMD HD7900, 16GB ram so the tests should definitely run on this one. In comparison I did some DirectX9 tests on C++/Win32 API one device/multiple swap chains and I could open 100 windows spread all over the 4-monitor workspace (with 3d teapot rotating on them) and still had perfectly responsible operating system (fps was dropping of course on the rendering windows quite badly to around 5 which is what I would expect running 100 simultaneous renderings). Does anyone know any good ways to do multi-windowed rendering on C# or am I forced to re-write my program in C++ to get that performance (major pain)? I guess I'm giving OpenGL another shot before I go the C++ route... I'll report any findings here. Test methods for reference: For C# DirectX one-device multiple swapchain test I used the method from this excellent answer: Display Different images per monitor directX 10 Direct3D10 version: I created the d3d10device and DXGIFactory like this: D3DDev = new SharpDX.Direct3D10.Device(SharpDX.Direct3D10.DriverType.Hardware, SharpDX.Direct3D10.DeviceCreationFlags.None); DXGIFac = new SharpDX.DXGI.Factory(); Then initialized the rendering windows like this: var scd = new SwapChainDescription(); scd.BufferCount = 1; scd.ModeDescription = new ModeDescription(control.Width, control.Height, new Rational(60, 1), Format.R8G8B8A8_UNorm); scd.IsWindowed = true; scd.OutputHandle = control.Handle; scd.SampleDescription = new SampleDescription(1, 0); scd.SwapEffect = SwapEffect.Discard; scd.Usage = Usage.RenderTargetOutput; SC = new SwapChain(Parent.DXGIFac, Parent.D3DDev, scd); var backBuffer = Texture2D.FromSwapChain<Texture2D>(SC, 0); _rt = new RenderTargetView(Parent.D3DDev, backBuffer); Drawing command executed on each rendering iteration is simply: Parent.D3DDev.ClearRenderTargetView(_rt, new Color4(0, 0, 0, 0)); SC.Present(0, SharpDX.DXGI.PresentFlags.None); DirectX9 version is very similar: Device initialization: PresentParameters par = new PresentParameters(); par.PresentationInterval = PresentInterval.Immediate; par.Windowed = true; par.SwapEffect = SharpDX.Direct3D9.SwapEffect.Discard; par.PresentationInterval = PresentInterval.Immediate; par.AutoDepthStencilFormat = SharpDX.Direct3D9.Format.D16; par.EnableAutoDepthStencil = true; par.BackBufferFormat = SharpDX.Direct3D9.Format.X8R8G8B8; // firsthandle is the handle of first rendering window D3DDev = new SharpDX.Direct3D9.Device(new Direct3D(), 0, DeviceType.Hardware, firsthandle, CreateFlags.SoftwareVertexProcessing, par); Rendering window initialization: if (parent.D3DDev.SwapChainCount == 0) { SC = parent.D3DDev.GetSwapChain(0); } else { PresentParameters pp = new PresentParameters(); pp.Windowed = true; pp.SwapEffect = SharpDX.Direct3D9.SwapEffect.Discard; pp.BackBufferFormat = SharpDX.Direct3D9.Format.X8R8G8B8; pp.EnableAutoDepthStencil = true; pp.AutoDepthStencilFormat = SharpDX.Direct3D9.Format.D16; pp.PresentationInterval = PresentInterval.Immediate; SC = new SharpDX.Direct3D9.SwapChain(parent.D3DDev, pp); } Code for drawing loop: SharpDX.Direct3D9.Surface bb = SC.GetBackBuffer(0); Parent.D3DDev.SetRenderTarget(0, bb); Parent.D3DDev.Clear(ClearFlags.Target, Color.Black, 1f, 0); SC.Present(Present.None, new SharpDX.Rectangle(), new SharpDX.Rectangle(), HWND); bb.Dispose(); C++ DirectX9/Win32 API test with multiple swapchains and one device code is here: http://pastebin.com/tjnRvATJ It's a modified version from Kevin Harris's nice example code.

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  • Is it more efficient to always run a delete query, or to check if that information exists first

    - by Scarface
    Ok this is going to seem like a dumb question to experienced developers, but questions like this bother me until I ask them. So... is it more efficient to always run a delete query by default whether an entry exists or not, for example to delete a user name after a certain period of time (DELETE * from table where username=user), or should you check if that entry exists first using a select query and mysql_num_rows. What uses more processor on the server side? Obviously one approach contains more code, but I was wondering if certain mysql operations used a lot more cpu than others.

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  • Very long strings as primary keys in a database for caching

    - by Bill Zimmerman
    Hi, I am working on a web app that allows users to create dynamic PDF files based on what they enter into a form (it is not very structured data). The idea is that User 1 enters several words (arbitrary # of words, practically capped of course), for example: A B C D E There is no such string in the database, so I was thinking: Store this string as a primary key in a MySQL database (it could be maybe around 50-100k of text, but usually probably less than 200 words) Generate the PDF file, and create a link to it in the database When the next user requests A B C D E, then I can just serve the file instead of recreating it each time. (simple cache) The PDF is cpu intensive to generate, so I am trying to cache as much as I can... My questions are: Does anyone have any alternative ideas to my approach What will the database performance be like? Is there a better way to design the schema than using the input string as the primary key?

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  • What is good server performance monitoring software for Windows?

    - by Luke
    I'm looking for some software to monitor a single server for performance alerts. Preferably free and with a reasonable default configuration. Edit: To clarify, I would like to run this software on a Windows machine and monitor a remote Windows server for CPU/memory/etc. usage alerts (not a single application). Edit: I suppose its not necessary that this software be run remotely, I would also settle for something that ran on the server and emailed me if there was an alert. It seems like Windows performance logs and alerts might be used for this purpose somehow but it was not immediately obvious to me. Edit: Found a neat tool on the coding horror blog, not as useful for remote monitoring but very useful for things you would worry about as a server admin: http://www.winsupersite.com/showcase/winvista_ff_rmon.asp

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  • Why doesn't Linux use the hardware context switch via the TSS?

    - by smwikipedia
    Hi guys! I read the following statement: The x86 architecture includes a specific segment type called the Task State Segment (TSS), to store hardware contexts. Although Linux doesn't use hardware context switches, it is nonetheless forced to set up a TSS for each distinct CPU in the system. I am wondering: Why doesn't Linux use the hardware support for context switch? Isn't the hardware approach much faster than the software approach? Is there any OS which does take advantage of the hardware context switch? Does windows use it? At last and as usual, thanks for your patience and reply.

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  • Current state of client-side XSLT

    - by Casey
    Last I heard, Blizzard was one of the few companies to put client-side XSLT into practice (2008). Is this still the case in 2011, or are more people now exploring this technique in production?  It seems that modern browsers (IE9, FF4, Chrome) and client processing power are primed to exploit this standard for tangible savings in server CPU power and bandwidth on large scale properties. Am I missing something? The negative aspects I'm aware of include * additional rendering time * additional assets required on uncached page load * additional layer of complexity * noticably less developer experience than server-side template techniques The benefits I perceive include * distributed template composition (offloaded on the client) * caching of common template fragments offloaded on the client * logical separation of document structure and data * well-documented web standard supported by all modern browsers Finally, although I know it's impossible to predict the future, I am curious to know opinions on whether or not client-side XSLT's day will come. With interest in HTML5 driving users to upgrade their browsers and developers to explore new techniques, I would say yes. How about you? Thanks in advance, Casey

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  • haystack's RealTimeSearchIndex causes django to hang on data entry

    - by lsc
    I'm using django-haystack and a xapian backend with real time indexing (haystack.indexes.RealTimeSearchIndexing) of model data and it works fine on my Ubuntu server. However, it causes django to hang upon data entry when I deployed the app on a RHEL5 server. Everything is hunky dory if I switch to a standard SearchIndex. Running ./manage.py rebuild_index manually works fine too. The major differences between the two setups would be the versions of Python (2.4.3 vs 2.6.4) and the xapian (1.0.4-1 vs 1.0.15). Any suggestions on what may be the problem? Nothing interesting appears in the logs, and I've tried different databases (mysql, sqlite3) and deployment methods (mod_python, wsgi) with no luck yet. I have noted the warning on the haystack docs stating that RealTimeSearchIndex is only handled gracefully with a Solr backend, however I'm running a very traffic site with only occasional writes so I'm fine with some CPU overheads on writes.

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  • writing a fast parser in python

    - by panzi
    I've written a hands-on recursive pure python parser for a some file format (ARFF) we use in one lecture. Now running my exercise submission is awfully slow. Turns out by far the most time is spent in my parser. It's consuming a lot of CPU time, the HD is not the bottleneck. I wonder what performant ways are there to write a parser in python? I'd rather not rewrite it in C. I tried to use jython, but that decreased performance a lot! The files I parse are partially huge ( 150 MB) with very long lines. My current parser only needs a look-ahead of one character. I'd post the source here but I don't know if that's such a good idea. After all the submission deadline has not jet ended. But then, the focus in this exercise is not the parser. You can choose whatever language you want to use and there already is a parser for Java.

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  • Django admin causes high load for one model...

    - by Joe
    In my Django admin, when I try to view/edit objects from one particular model class the memory usage and CPU rockets up and I have to restart the server. I can view the list of objects fine, but the problem comes when I click on one of the objects. Other models are fine. Working with the object in code (i.e. creating and displaying) is ok, the problem only arises when I try to view an object with the admin interface. The class isn't even particularly exotic: class Comment(models.Model): user = models.ForeignKey(User) thing = models.ForeignKey(Thing) date = models.DateTimeField(auto_now_add=True) content = models.TextField(blank=True, null=True) approved = models.BooleanField(default=True) class Meta: ordering = ['-date'] Any ideas? I'm stumped. The only reason I could think of might be that the thing is quite a large object (a few kb), but as I understand it, it wouldn't get loaded until it was needed (correct?).

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  • Recreation of MySQL DB using "mysql mydb < mydb.sql" is really slow when the table has tens of milli

    - by Jian Lin
    It seems that a MySQL database that has a table with tens of millions of records will get a big INSERT INTO statement when the following mysqldump some_db > some_db.sql is done to back up the database. (is it 1 insert statement that handles all the records?) So when reconstructing the DB using mysql some_db < some_db.sql then the CPU is hardly busy (about 1.8% usage by the mysql process... I don't see a mysqld either?) and also the hard disk doesn't seem to be too busy... Last time, the whole restore process took 5 hours. Is there a way to make it faster? Such as, when doing mysqldump, can it break the INSERT statement into shorter ones, so that the mysql doesn't need to parse the line so hard when restoring the DB?

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  • Programmatic resource monitoring per process in Linux

    - by tuxx
    Hi, I want to know if there is an efficient solution to monitor a process resource consumption (cpu, memory, network bandwidth) in Linux. I want to write a daemon in C++ that does this monitoring for some given PIDs. From what I know, the classic solution is to periodically read the information from /proc, but this doesn't seem the most efficient way (it involves many system calls). For example to monitor the memory usage every second for 50 processes, I have to open, read and close 50 files (that means 150 system calls) every second from /proc. Not to mention the parsing involved when reading these files. Another problem is the network bandwidth consumption: this cannot be easily computed for each process I want to monitor. The solution adopted by NetHogs involves a pretty high overhead in my opinion: it captures and analyzes every packet using libpcap, then for each packet the local port is determined and searched in /proc to find the corresponding process. Do you know if there are more efficient alternatives to these methods presented or any libraries that deal with this problems?

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  • Get Hardware Information for HWs that is not installed

    - by Isaac
    I am pretty sure how to retrieve hardware information with WMI classes. but WMIs have a big limitation: They Just can get information for installed hardwares. I need to retrieve information about CPU (model,speed,etc..),Video Card, Sound Card, USB Ports, etc. I found a really good software (HWiNFO) that can do this even the drivers for hardware parts is not installed. It seems that HWiNFO uses a internal database to give a name for each hardware part. So is there any free library/DLL/component that can do this in Windows XP or higher Note: Although HWiNFO SDK seems good, it's not free. So it doesn't exist! ;) I need a free library.

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  • Branchless memory manager?

    - by Richard Fabian
    Anyone thought about how to write a memory manager (in C++) that is completely branch free? I've written a pool, a stack, a queue, and a linked list (allocating from the pool), but I am wondering how plausible it is to write a branch free general memory manager. This is all to help make a really reusable framework for doing solid concurrent, in-order CPU, and cache friendly development. Edit: by branchless I mean without doing direct or indirect function calls, and without using ifs. I've been thinking that I can probably implement something that first changes the requested size to zero for false calls, but haven't really got much more than that. I feel that it's not impossible, but the other aspect of this exercise is then profiling it on said "unfriendly" processors to see if it's worth trying as hard as this to avoid branching.

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  • Help with Neuroph neural network

    - by user359708
    For my graduate research I am creating a neural network that trains to recognize images. I am going much more complex than just taking a grid of RGB values, downsampling, and and sending them to the input of the network, like many examples do. I actually use over 100 independently trained neural networks that detect features, such as lines, shading patterns, etc. Much more like the human eye, and it works really well so far! The problem is I have quite a bit of training data. I show it over 100 examples of what a car looks like. Then 100 examples of what a person looks like. Then over 100 of what a dog looks like, etc. This is quite a bit of training data! Currently I am running at about one week to train the network. This is kind of killing my progress, as I need to adjust and retrain. I am using Neuroph, as the low-level neural network API. I am running a dual-quadcore machine(16 cores with hyperthreading), so this should be fast. My processor percent is at only 5%. Are there any tricks on Neuroph performance? Or Java peroformance in general? Suggestions? I am a cognitive psych doctoral student, and I am decent as a programmer, but do not know a great deal about performance programming.

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  • Only some windows shell commands work via ruby?

    - by Sanarothe
    Hi. I'm trying to use a script to control my power options since XP doesn't give you an intuitive way to change CPU Frequency options. Here's my script so far: meh = `cmd.exe /C POWERCFG.EXE /QUERY Portable/Laptop` puts "" puts meh case input when 1 then system('cmd.exe /C POWERCFG.EXE /CHANGE Portable/Laptop /processor-throttle-ac NONE') when 2 then system('cmd.exe /C POWERCFG.EXE /CHANGE Portable/Laptop /processor-throttle-ac ADAPTIVE') when 3 then `cmd.exe /C POWERCFG.EXE /CHANGE Portable/Laptop /processor-throttle-ac CONSTANT` end The problem is that the changes simply don't take place. If I run the same commands directly into a cmd.exe prompt, they work. It's very strange, but nothing works after the initial powercfg query. I feel like I'm missing something incredibly obvious. How can I get the above script to run correctly?

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  • Performance differences between iframe hiding methods?

    - by Ender
    Is there a major performance difference between the following: <iframe style="visibility:hidden" /> <iframe style="width:0px; height:0px; border:0px" /> I'm using a hidden iframe to pull down and parse some information from an external server. If the iframe actually attempts to render the page, this may suck up a lot of CPU cycles. Of course, I'd ideally just want to get the raw markup - for example, if I could prevent the iframe from loading img tags, that would be perfect.

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  • What is optimal hardware configuration for heavy load LAMP application

    - by Piotr Kochanski
    I need to run Linux-Apache-PHP-MySQL application (Moodle e-learning platform) for a large number of concurrent users - I am aiming 5000 users. By concurrent I mean that 5000 people should be able to work with the application at the same time. "Work" means not only do database reads but writes as well. The application is not very typical, since it is doing a lot of inserts/updates on the database, so caching techniques are not helping to much. We are using InnoDB storage engine. In addition application is not written with performance in mind. For instance one Apache thread usually occupies about 30-50 MB of RAM. I would be greatful for information what hardware is needed to build scalable configuration that is able to handle this kind of load. We are using right now two HP DLG 380 with two 4 core processors which are able to handle much lower load (typically 300-500 concurrent users). Is it reasonable to invest in this kind of boxes and build cluster using them or is it better to go with some more high-end hardware? I am particularly curious how many and how powerful servers are needed (number of processors/cores, size of RAM) what network equipment should be used (what kind of switches, network cards) any other hardware, like particular disc storage solutions, etc, that are needed Another thing is how to put together everything, that is what is the most optimal architecture. Clustering with MySQL is rather hard (people are complaining about MySQL Cluster, even here on Stackoverflow).

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  • WPF ListView.CurrentChanged too fast for binding

    - by matt
    My case: MVVM ListView+Details(custom UserControl) List bound to MV.Items (IsSynchronizedWithCurrent=true) Details bound to MV.Items.Current MV.Items.Count == 100 about 0.2sec to read details (lazy mode) When I hold the down arrow on the list, very strange things happen: list items order change current changes in the random order CPU usage drastically increments and eventually all hangs. I've read some post that one should start the timer or run handler in the background, but I am not able to do that, since all the binding WPF does for me. Is there some way to instruct the binding in my DetailsControl, to wait a while before accepting CurrentItem? Or should I just resign from the clean solution and write custom code in my MV to handle that?

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  • what's faster: merging lists or dicts in python?

    - by tipu
    I'm working with an app that is cpu-bound more than memory bound, and I'm trying to merge two things whether they be sets or dicts. Now the thing is i can choose either one, but I'm wondering if merging dicts would be faster since it's all in memory? Or is it always going to be O(n), n being the size of the smaller set. The reason I asked about dicts rather than sets is because I can't convert a set to json, because that results in {key1, key2, key3} and json needs a key/value pair, so I am using a dict so json dumps returns {key1:1, key2:1, key3:1}. Yes this is wasteful, but if it proves to be faster then I'm okay with it.

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  • Parallelism in Python

    - by fmark
    What are the options for achieving parallelism in Python? I want to perform a bunch of CPU bound calculations over some very large rasters, and would like to parallelise them. Coming from a C background, I am familiar with three approaches to parallelism: Message passing processes, possibly distributed across a cluster, e.g. MPI. Explicit shared memory parallelism, either using pthreads or fork(), pipe(), et. al Implicit shared memory parallelism, using OpenMP. Deciding on an approach to use is an exercise in trade-offs. In Python, what approaches are available and what are their characteristics? Is there a clusterable MPI clone? What are the preferred ways of achieving shared memory parallelism? I have heard reference to problems with the GIL, as well as references to tasklets. In short, what do I need to know about the different parallelization strategies in Python before choosing between them?

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  • Is a signal sent with kill to a parent thread guaranteed to be processed before the next statement?

    - by Jonathan M Davis
    Okay, so if I'm running in a child thread on linux (using pthreads if that matters), and I run the following command kill(getpid(), someSignal); it will send the given signal to the parent of the current thread. My question: Is it guaranteed that the parent will then immediately get the CPU and process the signal (killing the app if it's a SIGKILL or doing whatever else if it's some other signal) before the statement following kill() is run? Or is it possible - even probable - that whatever command follows kill() will run before the signal is processed by the parent thread?

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  • rundll32.exe constantly running taking up resources slowing down my Win 7 computer

    - by Joe Fletcher
    Over the past week, my Windows 7 Home Premium computer (8gb RAM, 64bit) has been running slowly. When I look at my processes, there are always 2 rundll32.exe's running taking up 3 & 25% CPU power, memory slowly creeping upwards from around 115mb to 160mb each in the time it has taken me to right this message, sometimes popping upt o 300mb and back down. Svchost.exe is at 260mb. When I end those processes, everything returns to snappiness. I recently did some Windows Updates, and I think it was around the time my computer started acting slowly, but I can't remember if it was before or after the updates that things started running slowly. Last night I ccleaned & defrag'ed. How can I diagnose what's causing the slowness?

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