Bo Master due to the needs of the work, began to learn the GPU above the programming, mainly related to the GPU based on the depth of knowledge, in view of the previous did not contact GPU programming, so here specifically to learn the GPU above programming. Have like-minded small partners, welcome to exchange and stud
Beware of GPU memory bandwidth
For personal use only, do not reprint, do not use for any commercial purposes.
Some time ago, I wrote a series of post-process effect, including the motion blur, refraction, and scattering of screen spance. Most shader is very simple. It is nothing more than rendering a full screen quad to the screen, usually no more than 10 lines of PSCodeAnd does not contain any branch or loop commands. You only need to run sm1.4.
Graphics performance depends on the display core, so to distinguish the graphics performance, you must know some of the graphics card parameters!
To facilitate the viewing of parameters, a tool designed to view the parameters of the graphics card is gpu-z.
Through gpu-z, we can compare the graphics card parameters to identify the performance of the graphics card, or even distinguish between true and false
GPU hardware acceleration as the most eye-catching features of the IE9 browser, the major browsers also continue to introduce this function. Many users also want to experience how much this feature can improve browser performance. However, after installing the IE9 beta version, I found that the GPU hardware acceleration could not be turned on, and the "use of software rendering without
First, GPU overviewGPU The English name is graphic processing Unit,gpu Chinese is all called Computer graphics processor, presented by Nvidia Corporation in 1999. The concept of GPU is also relative to the CPU in the computer system, due to the increasing demand for graphics, especially in home systems and game enthusiasts, and traditional CPUs can not meet the s
graphics card, you only need to install the latest driver package with opencl. The following video cards support Double Precision Floating Point: NVIDIA geforce 200 series, 400 series, 500 series graphics cards; amd radeon HD 5800, 5900, 6900 series. The radeon 6900 series does not yet support the official dual-precision floating point number (cl_khr_fp64) extension, so this program also supports cl_amd_fp64 dual-precision floating point extension, w
, T.elemwise) forXinchF.maker.fgraph.toposort ()]):Print('used the CPU')Else: Print('used the GPU')View CodeSave the above code as check_gpu.py, use the following command to test, according to the test results to know whether the GPU can be used properly, if the error may be the above path configuration problem.$ theano_flags=mode=fast_run,device=cpu,floatx=float32 python check1.py[elemwise{exp,no_inplac
D3d9 GPU HacksI ' ve been trying to catch up what hacks GPU vendors has exposed in Direct3D9, and turns out there's a lot of them!If you know more hacks or more details, please let me know in the comments!Most hacks is exposed as custom ("FOURCC") formats. So-check for the CheckDeviceFormat . Here's the list (Usage column codes:ds=depthstencil, Rt=rendertarget; Resource column codes:tex=texture, Surf=surfac
to the simulated skeleton at the bottom, various expressions were generated by using the elastic contraction of muscles. Through the study of the above facial expression control methods, it is found that linear interpolation plays a key role in the final draw stage of facial expressions. Therefore, it is our goal to achieve rapid and real-time rendering of facial expressions.
In recent years, graphics processor (GPU) performance has greatly improved
Guide: GPU is graphic Processor unit abbreviation, as the name implies is the graphics processor. The concept of GPU was first developed from the graphics workstation, from the 90 's PC popularization began, the GPU ushered in its era of great development. In the 90 's, desktop GPU experienced 2D to 3D spanning, from 3
Beware of GPU memory bandwidth
For personal use only, do not reprint, do not use for any commercial purposes.
Some time ago, I wrote a series of post-process effect, including the motion blur, refraction, and scattering of screen spance. Most shader is very simple. It is nothing more than rendering a full screen quad to the screen. Generally, there are no more than 10 lines of PS Code, without any branch or loop commands. It can be run only after sm1.
Chromium Graphics: Principle and Implementation of the synchronization mechanism between GPU clients-Part I, chromium-part
Abstract: The GPU process architecture in Chromium allows multiple GPU clients to access the GPU service at the same time, and there may be data dependencies between
Label: chromium syncpoint
Abstract: The GPU process architecture in chromium allows multiple GPU clients to access the GPU service at the same time, while multiple GPU clients may have data dependencies, such as when rendering a webgl page, therefore, a synchronization mechanism is required to ensure the order of
CUDA instruction set architecture (ISA) and the parallel computing engine inside the GPU. Developers can now use C language to write programs for Cuda architecture, and C is the most widely used high-level programming language. The program is written so that it can run at ultra high performance on a CUDA-capable processor. CUDA3.0 has started to support C + + and Fortran.The computing industry is moving from "central processing", which uses only CPU,
Tags: modify arc mkdir around Loop 100% proof Port endEven if the installation method is found, everyone's system is somewhat different, there are always some pits to step on to know the actual situation is how. My environment is Lenovo V480 + Ubuntu 16.04 + GeForce GT 645M. The installation process is referenced in this blog--ubuntu 16.04 installation configuration Caffe graphic details. The steps to be completed are:
Install related d
As the GPU's programmability continues to increase, the GPU's application capabilities have far exceeded the graphics rendering task, and the use of GPU to complete general-purpose computing is becoming increasingly active, use GPU for computing outside of graphics rendering to becomePurpose computing on graphics processing units, GPU-based general-purpose comput
Bytes. Some recent academic research papers-and other chapters in this book-demonstrate the ability of these stream processors to accelerate a wide range of applications, not just the real-time rendering they originally targeted. However, using this computing capability requires a completely different programming model that is unfamiliar to many programmers. This chapter explores one of the most fundamental differences between CPU and GPU programming:
Can running on a GPU speed up my application?
GPU can accelerate applications that meet the following standards:
Large-scale parallel computing can be divided into hundreds or thousands of independent work units.
Computing-intensive computing consumes much more time than transferring data to the GPU memory or from the GPU
precision: 1.0-1.1 tflopsSample DP calculation: 16 DP flops/clock/Core * 61 cores * 1.1 GHz = 1073.6 gflop/s
Programming Language
Cuda, opencl, and openacc
OpenMP, opencl, cilk, and openacc
Programming Mode
Offload
Offload, native, and distributed ric
Power Consumption
235 million
225-300 W
Bandwidth PCI-E
2.0 (8 Gb/s for each two-way operation)3.0 (16 Gb/s each in two directions)
2.0 (8 Gb/s for each two-way operation)Currently, 3.0 i
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