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  • OpenGL CPU vs. GPU

    - by Nitrex88
    So I've always been under the impression that doing work on the GPU is always faster than on the CPU. Because of this, in OpenGL, I usually try to do intensive tasks in shaders so they get the speed boost from the GPU. However, now I'm starting to realize that some things simply work better on the CPU and actually perform worse on the GPU (particularly when a geometry shader is involved). For example, in a recent project I did involving procedurally generated terrain, I tried passing a grid of single triangles into a geometry shader, and tesselated each of these triangles into quads with 400 vertices whose height was determined by a noise function. This worked fine, and looked great, but easily maxed out the GPU with only 25 base triangles and caused a very slow framerate. I then discovered that tesselating on the CPU instead, and setting the height (using noise function) in the vertex shader was actually faster! This prompted me to question the benefits of using the GPU as much as possible... So, I was wondering if someone could describe the general pros and cons of using the GPU vs CPU for intensive graphics tasks. I know this mainly comes down to what your trying to achieve, so if necessary, use the above scenario to discuss why the "CPU + vertex shader" was actually faster than doing everything in the geometry shader on the GPU. It's possible my hardware (newest macbook pro) isn't optomized well for the geometry shader (thus causing the slow framerate). Also, I read that the vertex shader is very good with parallelism, and would love a quick explanation of how this may have played a role in speeding up my procedural terrain. Any info/advice about CPU/GPU/shaders would be awesome!

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  • OpenGL CPU vs. GPU

    - by Nitrex88
    So I've always been under the impression that doing work on the GPU is always faster than on the CPU. Because of this, in OpenGL, I usually try to do intensive tasks in shaders so they get the speed boost from the GPU. However, now I'm starting to realize that some things simply work better on the CPU and actually perform worse on the GPU (particularly when a geometry shader is involved). For example, in a recent project I did involving procedurally generated terrain, I tried passing a grid of single triangles into a geometry shader, and tesselated each of these triangles into quads with 400 vertices whose height was determined by a noise function. This worked fine, and looked great, but easily maxed out the GPU with only 25 base triangles and caused a very slow framerate. I then discovered that tesselating on the CPU instead, and setting the height (using noise function) in the vertex shader was actually faster! This prompted me to question the benefits of using the GPU as much as possible... So, I was wondering if someone could describe the general pros and cons of using the GPU vs CPU for intensive graphics tasks. I know this mainly comes down to what your trying to achieve, so if necessary, use the above scenario to discuss why the "CPU + vertex shader" was actually faster than doing everything in the geometry shader on the GPU. It's possible my hardware (newest macbook pro) isn't optomized well for the geometry shader (thus causing the slow framerate). Also, I read that the vertex shader is very good with parallelism, and would love a quick explanation of how this may have played a role in speeding up my procedural terrain. Any info/advice about CPU/GPU/shaders would be awesome!

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  • CUDA: Memory copy to GPU 1 is slower in multi-GPU

    - by zenna
    My company has a setup of two GTX 295, so a total of 4 GPUs in a server, and we have several servers. We GPU 1 specifically was slow, in comparison to GPU 0, 2 and 3 so I wrote a little speed test to help find the cause of the problem. //#include <stdio.h> //#include <stdlib.h> //#include <cuda_runtime.h> #include <iostream> #include <fstream> #include <sstream> #include <string> #include <cutil.h> __global__ void test_kernel(float *d_data) { int tid = blockDim.x*blockIdx.x + threadIdx.x; for (int i=0;i<10000;++i) { d_data[tid] = float(i*2.2); d_data[tid] += 3.3; } } int main(int argc, char* argv[]) { int deviceCount; cudaGetDeviceCount(&deviceCount); int device = 0; //SELECT GPU HERE cudaSetDevice(device); cudaEvent_t start, stop; unsigned int num_vals = 200000000; float *h_data = new float[num_vals]; for (int i=0;i<num_vals;++i) { h_data[i] = float(i); } float *d_data = NULL; float malloc_timer; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord( start, 0 ); cudaMemcpy(d_data, h_data, sizeof(float)*num_vals,cudaMemcpyHostToDevice); cudaMalloc((void**)&d_data, sizeof(float)*num_vals); cudaEventRecord( stop, 0 ); cudaEventSynchronize( stop ); cudaEventElapsedTime( &malloc_timer, start, stop ); cudaEventDestroy( start ); cudaEventDestroy( stop ); float mem_timer; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord( start, 0 ); cudaMemcpy(d_data, h_data, sizeof(float)*num_vals,cudaMemcpyHostToDevice); cudaEventRecord( stop, 0 ); cudaEventSynchronize( stop ); cudaEventElapsedTime( &mem_timer, start, stop ); cudaEventDestroy( start ); cudaEventDestroy( stop ); float kernel_timer; cudaEventCreate(&start); cudaEventCreate(&stop); cudaEventRecord( start, 0 ); test_kernel<<<1000,256>>>(d_data); cudaEventRecord( stop, 0 ); cudaEventSynchronize( stop ); cudaEventElapsedTime( &kernel_timer, start, stop ); cudaEventDestroy( start ); cudaEventDestroy( stop ); printf("cudaMalloc took %f ms\n",malloc_timer); printf("Copy to the GPU took %f ms\n",mem_timer); printf("Test Kernel took %f ms\n",kernel_timer); cudaMemcpy(h_data,d_data, sizeof(float)*num_vals,cudaMemcpyDeviceToHost); delete[] h_data; return 0; } The results are GPU0 cudaMalloc took 0.908640 ms Copy to the GPU took 296.058777 ms Test Kernel took 326.721283 ms GPU1 cudaMalloc took 0.913568 ms Copy to the GPU took[b] 663.182251 ms[/b] Test Kernel took 326.710785 ms GPU2 cudaMalloc took 0.925600 ms Copy to the GPU took 296.915039 ms Test Kernel took 327.127930 ms GPU3 cudaMalloc took 0.920416 ms Copy to the GPU took 296.968384 ms Test Kernel took 327.038696 ms As you can see, the cudaMemcpy to the GPU is well double the amount of time for GPU1. This is consistent between all our servers, it is always GPU1 that is slow. Any ideas why this may be? All servers are running windows XP.

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  • AMD/AMD GPU Switching

    - by user73816
    I have two GPU's in my laptop, both of which are AMD. Whenever I use the Catalyst Control Centre to change the GPU, nothing changes after reboot. In fact, when I do the fglrxinfo command the terminal only reports seeing one GPU, the integrated one (HD 4250). The dedicated one (Mobility HD5470) goes unnoticed and I can't seem to use that GPU at all. I really don't want to use the Open Source drivers because I've found there generally slower than the proprietary, but the proprietary doesn't seem to work either. Any help is appreciated.

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  • Ubuntu 14.04 doesn't detect my discrete GPU

    - by user258887
    I recently purchased a laptop with an Nvidia GeForce 860m, and have installed Ubuntu 14.04. On my old laptop I had 12.04, which automatically filled Additional Drivers with Nvidia drivers. But on this computer, the only thing in Additional Drivers is Qualcomm. So I manually installed Nvidia, but X Server Settings doesn't seem to detect any GPU... lspci | grep VGA reports only my integrated Intel GPU, but lspci -v reports many things, including the Nvidia GPU: 01:00.0 3D controller: NVIDIA Corporation GM107M [GeForce GTX 860M] (rev a2) Subsystem: ASUSTeK Computer Inc. Device 157d Flags: fast devsel, IRQ 16 Memory at ec000000 (32-bit, non-prefetchable) [size=16M] Memory at c0000000 (64-bit, prefetchable) [size=256M] Memory at d0000000 (64-bit, prefetchable) [size=32M] I/O ports at e000 [size=128] Expansion ROM at ed000000 [disabled] [size=512K] Capabilities: access denied Don't know what any of that means. Not sure if it's supposed to say 'access denied'... I need my GPU to do CUDA and OpenGL programming. What else can I do to figure out why this isn't working?

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  • Multi-part question about multi-threading, locks and multi-core processors (multi ^ 3)

    - by MusiGenesis
    I have a program with two methods. The first method takes two arrays as parameters, and performs an operation in which values from one array are conditionally written into the other, like so: void Blend(int[] dest, int[] src, int offset) { for (int i = 0; i < src.Length; i++) { int rdr = dest[i + offset]; dest[i + offset] = src[i] > rdr? src[i] : rdr; } } The second method creates two separate sets of int arrays and iterates through them such that each array of one set is Blended with each array from the other set, like so: void CrossBlend() { int[][] set1 = new int[150][75000]; // we'll pretend this actually compiles int[][] set2 = new int[25][10000]; // we'll pretend this actually compiles for (int i1 = 0; i1 < set1.Length; i1++) { for (int i2 = 0; i2 < set2.Length; i2++) { Blend(set1[i1], set2[i2], 0); // or any offset, doesn't matter } } } First question: Since this apporoach is an obvious candidate for parallelization, is it intrinsically thread-safe? It seems like no, since I can conceive a scenario (unlikely, I think) where one thread's changes are lost because a different threads ~simultaneous operation. If no, would this: void Blend(int[] dest, int[] src, int offset) { lock (dest) { for (int i = 0; i < src.Length; i++) { int rdr = dest[i + offset]; dest[i + offset] = src[i] > rdr? src[i] : rdr; } } } be an effective fix? Second question: If so, what would be the likely performance cost of using locks like this? I assume that with something like this, if a thread attempts to lock a destination array that is currently locked by another thread, the first thread would block until the lock was released instead of continuing to process something. Also, how much time does it actually take to acquire a lock? Nanosecond scale, or worse than that? Would this be a major issue in something like this? Third question: How would I best approach this problem in a multi-threaded way that would take advantage of multi-core processors (and this is based on the potentially wrong assumption that a multi-threaded solution would not speed up this operation on a single core processor)? I'm guessing that I would want to have one thread running per core, but I don't know if that's true.

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  • browser without gpu support

    - by manuzhang
    Google has an Easter egg that draws 3D graph but when I tried it out on chrome it complained about no WebGL support. I've also tested it on Firefox whose WebGL support was enabled but ended up with the same problem. Thus, I suspect it's an issue of my GPU. Some googling led me to chrome://gpu and here's what I got Graphics Feature Status Canvas: Software only, hardware acceleration unavailable HTML Rendering: Software only, hardware acceleration unavailable 3D CSS: Unavailable. Hardware acceleration unavailable WebGL: Unavailable. Hardware acceleration unavailable WebGL multisampling: Unavailable. Hardware acceleration unavailable Problems Detected GPU process was unable to boot. Access to GPU disallowed. GL driver is software rendered. Accelerated compositing is disabled.: 59302 Mesa drivers in linux older than 7.11 are assumed to be buggy. Accelerated 2d canvas is unstable in Linux at the moment. Version Information Data exported Tue Apr 10 2012 18:35:57 GMT+0800 (CST) Chrome version 18.0.1025.151 (Official Build 130497) Operating system Linux 3.0.0-0300-generic Software rendering list version 1.27 ANGLE revision 988 2D graphics backend Skia I wonder what each of the problem implies and How I may properly deal with it? I'm using Ubuntu 11.04

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  • Using GPU's RAM as RAMDISK

    - by user3476043
    I want to use my GPU's ram as a ramdisk, following these instructions : http://en.gentoo-wiki.com/wiki/Using_Graphics_Card_Memory_as_Swap But when I input the " modprobe phram phram=VRAM,0xd8400000,124Mi " command, I get the following error : modprobe: ERROR: could not insert 'phram': Input/output error I use Ubuntu Studio 14.04. Also, is there anyway I could use more than the 128M of prefetchable memory, my GPU has 1GB of ram, I would prefer to use "most" of it.

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  • RAR password recovery on GPU using ATI Stream processor

    - by Wajdy Essam
    Hello, I'm newbie in GPU programming , and i work on brute force RAR Password Recovery on ATI Stream Processor using brook+ language, but i see that the kernel written in brook+ language doesn't allow any calling to normal functions (except kernel functions) , my questions is : 1) how to use unrar.dll (to unrar archive files) API in this situation? and is this the only way to program RAR password recovery? 2) what about crack and ElcomSoft software that use GPU , how they work ? 3) what exactly the role for the function work inside GPU (ATI Stream processor or CUDA) in this program? 4) is nVidia/CUDA technology is easier/more flexible than ATI/brook+ language ?

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  • How to determine if an application is using the GPU

    - by Andrew
    I'm looking for a way to determine how to know whether an application is using the GPU with Objective-C. I want to be able to determine if any applications currently running on the system have work going on on the GPU (ie: a reason why the latest MacBook Pros would switch to the discrete graphics over the Intel HD graphics). I've tried getting the information by crossing the list of active windows with the list of windows that have their backing location stored in video memory using Quartz Window Services, but all that does is return the Dock application and I have other applications open that I know are using the GPU (Photoshop CS5, Interface Builder), that and the Dock doesn't require the 330m.

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  • How to check Early Z efficiency on AMD GPU with Windows 7

    - by Suma
    I have a game using DirectX 9, and a development station using Win 7 x64. I am still able to get access to another station with Vista x64 / dual booted with WinXP x86. I wanted to check early Z efficiency in the game and to my sadness all tools I have tried seem to be unable to perform this task: AMD PerfStudio AMD GPUPerfStudio 2 does not support DirectX 9 at all AMD GPUPerfStudio 1.2 does not install correctly on Windows 7. When I have tweaked the MSI package (a simple OS version check adjustment was needed), it complained the drivers I have do not provide needed instrumentation. The drivers old enough to support the GPUPerfStudio would most likely not be able to operate with my Radeon 5750 card (though this is something I am not 100 % sure, I did not attempt to try any older drivers, not knowing which I should look for) PIX PIX does not seem to contain any counters like this. It offers some ATI specific counters, but when I try to activate them, the PIX reports "PIX encountered a problem while attaching to the target program." I do not want to upgrade to DX 10/11 just to be able to profile the game, but it seems without the step I am somewhat locked with a toolset which is no longer supported. I see only one obvious options which would probably work, and that is using WinXP (or with a little bit of luck even Vista) station, perhaps with some older AMD card, to make sure GPUPerfStudio 1.2 works. Other than that, can anyone recommend other options how to check GPU HW counters (HiZ / EarlyZ in particular, but if others would be enabled as well, it would be a nice bonus) for a DirectX 9 game on Windows 7, preferably on AMD GPU? (If that is not possible, I would definitely prefer switching GPU to switching the OS, but before I do so I would like to know if I will not hit the same problem with nVidia again)

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  • 12.04 GPU lockup

    - by soandos
    I was able to install Ubuntu 12.04 using the alternative version of the image, (64 bit) but when I start the system it tells me the GPU locked up, and instead presents a text only screen. I understand that this site is not for bug reports, but at the same time, I know that there are some versions of the installer than have to be compatible with my graphics card (Nvidia GTS 360M). I assumed that the mere fact that the alternative installer ran was an indication that I could get some sort of graphical interface running after the install. Is there some way of getting some type of graphical interface running on my machine? Even better would be is there a way to get the rest of the system running as normal (i.e. GPU up and running)? If an internet connection is required to download driver support or something similar, directions for how to configure a wireless connection with WPA2-Personal protection from the text-only interface (bash). Any help would be appreciated. Note: I was able to find this which tells me that the card is supported. Note 2: In the install software stage of the install, I was unable to install anything (no internet connection) Update: The exact error message is [8.591394] [drm] 0000:01:00.0: GPU Lockup - switching to software fbcon Update 2: If I try to install with the regular version of Ubuntu, the screen goes staticy. This also happens if I install with Wubi (distasteful I know) and then try to use Ubuntu. Update 3: I've tried xforcevesa, nomodeset and xforcevesa nomodeset as my wubi boot options. Update 4: Thanks to jokerdino, I can now connect to the internet, so internet tools would now be a possibility.

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  • Low-level GPU code and Shader Compilation

    - by ktodisco
    Bear with me, because I will raise several questions at once. I still feel, though, that overall this can be treated as one question that may be answered succinctly. I recently dove into solidifying my understanding of the assembly language, low-level memory operations, CPU structure, and program optimizations. This also sparked my interest in how higher-level shading languages, GLSL and HLSL in particular, are compiled and optimized, as well as what formats they are reduced to before machine code is generated (assuming they are not converted directly into machine code). After a bit of research into this, the best resource I've found is this presentation from ATI about the compilation of and optimizations for HLSL. I also found sample ARB assembly code. This sort of addressed my original curiosity, but it raised several other questions. The assembler code in the ATI presentation seems like it contains instructions specifically targeted for the GPU, but is this merely a hypothetical example created for the purpose of conceptual understanding, or is this code really generated during shader compilation? If so, is it possible to inspect it, or even write it in place of the higher-level syntax? My initial searches for an answer to the last question tell me that this may be disallowed, but I have not dug too deep yet. Also, along the same lines, are GLSL shader programs compiled into ARB assembly code before machine code is generated, and is it possible to write direct ARB assembly? Lastly, and perhaps what I am most interested in finding out: are there comprehensive resources on shader compilation and low-level GPU code? I have been unable to find any thus far. I ask simply because I am curious :)

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  • Ubuntu 12.04 and KDE, graphical temperature monitor for GPU

    - by Frank
    I have ubuntu 12.04 and KDE. I already installed "lm-sensors", "hardware sensors indicator" and "Psensors" but none works well for me. I also know a couple of commands to find gpu temperature on terminal but I don't need that, I need a graphical application that works with kde to use. Do you know something that helps me? My card is MSI R6870 Hawk (from ATI original HD6870) and I have fglrx drivers Thanks

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  • On a dual-GPU laptop, is using the discrete GPU ever more power efficient?

    - by Mahmoud Al-Qudsi
    Given a laptop with a dual integrated/discrete GPU configuration, is it ever more power efficient to use the discrete GPU instead of the integrated? Obviously when writing an email or working on a spreadsheet, the integrated GPU will always use less power. But let's say you're doing something graphics-medium but not graphics-intensive/heavy - is there a point where it actually makes sense to fire up the discrete GPU, not for performance but for power-saving reasons? Off the top of my head, I can think of a scenario where the external GPU supports hardware decoding of a particular video codec - I'd imagine there is a "price point" where using the GPU saves more energy than decoding that fully in software would. But I think most GPUs, integrated or discrete, pretty much decode just the plain-Jane h264. But maybe there is something more complicated, perhaps if you're doing something like desktop/windowing animations or a flash animation on a website (not an embedded flash video) - maybe the discrete GPU will use enough less power to make up for switching to it? I guess this question can be summed up as to whether or not you can say beyond doubt that if you don't care for performance on a laptop with two GPUs, always use the integrated GPU for maximum battery life.

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  • stress testing opencl/Ati GPU on 12.04

    - by lurscher
    What does people normally use to stress test their GPU on ubuntu 12.04? I tried installing Phoronix Benchmark suite ubuntu .deb but it tries to install freeglu3-dev and at the same time complains about $ phoronix-test-suite benchmark pts/opencl The following dependencies are needed and will be installed: freeglut3-dev This process may take several minutes. Reading package lists... Building dependency tree... Reading state information... freeglut3-dev is already the newest version. 0 upgraded, 0 newly installed, 0 to remove and 90 not upgraded. There are dependencies still missing from the system: - OpenGL Utility Kit / GLUT 1: Ignore missing dependencies and proceed with installation. 2: Skip installing the tests with missing dependencies. 3: Re-attempt to install the missing dependencies. 4: Quit the current Phoronix Test Suite process. Missing dependencies action: 4 so even if it is installing freeglu3, it still complains about missing GLUT. You can't win against GLUT it seems So, what does people use for this? i mean, really, because i have tried googling for an hour and it is not paying up Thanks!

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  • How to troubleshoot GPU freezes?

    - by dlsmith2
    So in advance I'll just say I am a total linux newbie, so be kind. I just downloaded Ubuntu 11.10 and this is my first experience with Linux. I enjoy it so far and actually enjoy it except for when my computer freezes. This has been quite often so far. I've done a little research and it seems my problem is with the GPU. When it does freeze I can move the cursor but cannot click on anything. I also cannot run Alt+F2 xkill. So my only previous experience has been with Windows and I would normally solve an issue like this with Ctrl+Alt+Delete and just shut down the offending program. I do not know how to do this in Ubuntu and not even sure this would even work. Please help me if you can, how do I deal with a freeze without having to resort to a hard shutdown, I cannot seem to run the computer over one hour without experiencing this issue. I tried accessing my GRUB menu on startup but I can't even seem to do that. Also the only real program I have been running whenever this happens seems to be Firefox. Thank you, appreciate any help. After running lspci | grep VGA command prompt: 00:12.0 VGA compatible controller: nVidia Corporation C67 [GeForce 7150M / nForce 630M] (rev a2)*****

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  • Multi-tenant ASP.NET MVC – Introduction

    - by zowens
    I’ve read a few different blogs that talk about multi-tenancy and how to resolve some of the issues surrounding multi-tenancy. What I’ve come to realize is that these implementations overcomplicate the issues and give only a muddy implementation! I’ve seen some really illogical code out there. I have recently been building a multi-tenancy framework for internal use at eagleenvision.net. Through this process, I’ve realized a few different techniques to make building multi-tenant applications actually quite easy. I will be posting a few different entries over the issue and my personal implementation. In this first post, I will discuss what multi-tenancy means and how my implementation will be structured.   So what’s the problem? Here’s the deal. Multi-tenancy is basically a technique of code-reuse of web application code. A multi-tenant application is an application that runs a single instance for multiple clients. Here the “client” is different URL bindings on IIS using ASP.NET MVC. The problem with different instances of the, essentially, same application is that you have to spin up different instances of ASP.NET. As the number of running instances of ASP.NET grows, so does the memory footprint of IIS. Stack Exchange shifted its architecture to multi-tenancy March. As the blog post explains, multi-tenancy saves cost in terms of memory utilization and physical disc storage. If you use the same code base for many applications, multi-tenancy just makes sense. You’ll reduce the amount of work it takes to synchronize the site implementations and you’ll thank your lucky stars later for choosing to use one application for multiple sites. Multi-tenancy allows the freedom of extensibility while relying on some pre-built code.   You’d think this would be simple. I have actually seen a real lack of reference material on the subject in terms of ASP.NET MVC. This is somewhat surprising given the number of users of ASP.NET MVC. However, I will certainly fill the void ;). Implementing a multi-tenant application takes a little thinking. It’s not straight-forward because the possibilities of implementation are endless. I have yet to see a great implementation of a multi-tenant MVC application. The only one that comes close to what I have in mind is Rob Ashton’s implementation (all the entries are listed on this page). There’s some really nasty code in there… something I’d really like to avoid. He has also written a library (MvcEx) that attempts to aid multi-tenant development. This code is even worse, in my honest opinion. Once I start seeing Reflection.Emit, I have to assume the worst :) In all seriousness, if his implementation makes sense to you, use it! It’s a fine implementation that should be given a look. At least look at the code. I will reference MvcEx going forward as a comparison to my implementation. I will explain why my approach differs from MvcEx and how it is better or worse (hopefully better).   Core Goals of my Multi-Tenant Implementation The first, and foremost, goal is to use Inversion of Control containers to my advantage. As you will see throughout this series, I pass around containers quite frequently and rely on their use heavily. I will be using StructureMap in my implementation. However, you could probably use your favorite IoC tool instead. <RANT> However, please don’t be stupid and abstract your IoC tool. Each IoC is powerful and by abstracting the capabilities, you’re doing yourself a real disservice. Who in the world swaps out IoC tools…? No one!</RANT> (It had to be said.) I will outline some of the goodness of StructureMap as we go along. This is really an invaluable tool in my tool belt and simple to use in my multi-tenant implementation. The second core goal is to represent a tenant as easily as possible. Just as a dependency container will be a first-class citizen, so will a tenant. This allows us to easily extend and use tenants. This will also allow different ways of “plugging in” tenants into your application. In my implementation, there will be a single dependency container for a single tenant. This will enable isolation of the dependencies of the tenant. The third goal is to use composition as a means to delegate “core” functions out to the tenant. More on this later.   Features In MvcExt, “Modules” are a code element of the infrastructure. I have simplified this concept and have named this “Features”. A feature is a simple element of an application. Controllers can be specified to have a feature and actions can have “sub features”. Each tenant can select features it needs and the other features will be hidden to the tenant’s users. My implementation doesn’t require something to be a feature. A controller can be common to all tenants. For example, (as you will see) I have a “Content” controller that will return the CSS, Javascript and Images for a tenant. This is common logic to all tenants and shouldn’t be hidden or considered a “feature”; Content is a core component.   Up next My next post will be all about the code. I will reveal some of the foundation to the way I do multi-tenancy. I will have posts dedicated to Foundation, Controllers, Views, Caching, Content and how to setup the tenants. Each post will be in-depth about the issues and implementation details, while adhering to my core goals outlined in this post. As always, comment with questions of DM me on twitter or send me an email.

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  • Why is GPU used for mining bitcoins?

    - by starcorn
    Something that I have not really grasped is the idea of bitcoins. Especially since everybody can mine for it using a powerful GPU. I wonder why is GPU used for this purpose? Is the work done by GPU used by some huge organization or is it just wasted resource that goes into simulated mining? I mean for example SETI uses your GPU for the purpose of finding aliens, but what I can see of bitmining it seems for no actual purpose than wasted resource.

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  • What is the specification for GPU ROMs?

    - by Alexandru
    So, graphics cards have a ROM that you can export in GPU-Z (GPU-Z: An example of an application that will perform this task). Is it at all possible to find out what the specification is for a GPU ROM? I have an issue with one of my cards and would like to add a GOP partition to it in order to enable secure boot and remove the annoying watermark in Windows 8.1 about secure boot not being configured correctly.

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  • Macbook Pro with Windows 7 - GPU always on

    - by Joonas Pulakka
    Übergizmo is reporting an issue with the new Macbook Pros' GeForce 330M GPU being always "on" under Windows 7, and thus almost halving the battery life compared to that with OS X (which is able to somehow suspend that GPU and use the the low-end integrated GPU to do the light work). Any solutions, or rumors of coming solutions?

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  • Using PhysX on a Radeon GPU?

    - by davr
    Is it possible to get PhysX to run on a Radeon GPU? I've seen various posts on forums claiming someone has found a way, but I was unable to locate any actual guides or software downloads to do it. Note: I don't mean running a GeForce and Radeon GPU in the same machine, I mean having only a Radeon GPU and having it run PhysX.

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  • Understanding GPU clock rates

    - by trizicus
    I know how to overclock my CPU (mess with multiplier, and bus speed)... However, I've noticed that it seems a bit more complicated with GPU's. How and where do I start? I've noticed that I can adjust the GPU clock speed in my BIOS. Card I'm overclocking: http://www.nvidia.com/object/product_geforce_gt_240_us.html I found that memory bus speed is (Mem Speed * Bus width) / 8. So obviously a good way to overclock the memory bandwidth is to adjust the memory speed. Now, GPU speed is 550 Mhz. How do I find its speed as well? Do I multiply it by the bus width (128)? What is ideal GPU speed relative to memory bandwidth?

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  • GPU not powering on

    - by Lerp
    So I got home from work yesterday and went to turn my computer on as per usual to be greeted by this: The screens remained black, so I rebooted; I go as far as GRUB before my screens went black again. I rebooted again, they didn't turn on. I rebooted again, I got as far as the windows login screen. This time I unplugged it, opened it up and cleaned it but to no luck. The GPU was still being tempermental. I repeated the process of turning off and on several times until one time it work as normal. I happily played games for the rest of the night (5-6 hours?) thinking everything was jolly good now. Well I get home from work today and it is doing the SAME thing. Sometimes everything displays normally for a few seconds to minutes then the screens go black; then sometimes the screens don't come on at all. Summary and additional points Screens sometimes turn on before shortly turning off, sometimes they don't; I cannot seem to determine any pattern between when they do or do not turn off. The build has been working fine for about 8 months now so I know it's not hardware incompatibility. If I plug a monitor into the on board graphics I can use the PC normally (just in low graphics mode) I have two monitors and it's a case of they both turn on or not. So I think I can rule out the monitors being dead. I have tried replacing the GPU I have tried replacing the RAM I have tried flashing the CMOS I have tried cleaning the inside The GPU is a Radeon HD 7870 My questions Is my GPU dead? It's not very old and I would rather have a method of being certain it's the GPU before I fork out some money I can't really afford. I do not have a second PC here to test it in. If my GPU is dead why does it sometimes work and sometimes not? Update Okay, it was working again.. at least I thought it was. I left it running for 10-20minutes with the screens black. Turned it off and straight back on and it worked for all of 10minutes. I was then updating the post in joy thinking I could play some games for the rest of the night when BAM it went black again. So yeah, I don't know :C

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  • Deactivate GPU and use IGP

    - by squelos
    I am having some trouble with my Sony Vaio SVE1511W1e laptop. It has an ATI Radeon and the i5 has an IGP (i5 2450m). I don't often use my GPU, and the IGP would be just enough for most usage I do. Therefore, in order to improve the battery life, I wish to deactivate the GPU and use only the IGP. The problem is that my BIOS doesnt allow me to do so. But I believe it is possible to deactivate the GPU 'programatically'. I'm running Debian Wheezy on the 3.2.0.4 AMD64 kernel. The first problem I'm running into is that when I run lspci, my IGP doesnt show up. Could this be because im lacking a kernel module? (I chose a targeted installation). What are the solutions to deactivating a GPU and using an IGP on a Linux System such as debian?

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