cuda parallel programming

Parallel Programming-use CancellationTokenSource to schedule Parallel tasks and parallelprogramming This article describes how to use CancellationTokenSource to schedule tasks that run in parallel.I. Application scenarios When multiple tasks run in parallel, if an exception occurs in the program running one of the task

Parallel Programming in. Net-7. High-Performance asynchronous queue and High-Performance Parallel Computing Based on BlockingCollection Based onConcurrentQueueThe asynchronous queue of. Today, we found another implementation method-BlockingCollection implementation, which is still used in actual projects. For basic use of BlockingCollection, refer to MSDN. Source

vs2015+cuda8.0 Environment Configuration Anyway, record the correct configuration here: 1, first, the officer network download corresponding vs version of Cuda Toolkit: Https://developer.nvidia.com/cuda-toolkit-50-archive (Remember vs2010 corresponds to cuda5.0,vs2013 corresponds to cuda7.5,vs2015 corresponding to CUDA8.0) 2, then, the direct installation, remember in the installation process if you do not

Setting up CUDA programming in Ubuntu is actually very simple. Only one thing to note is the driver. I don't know why NVIDIA also provides the cudadriver_2.3_linux_32_190.18 driver when downloading CUDA, I tried it. Although the driver can be installed normally, an error will pop up when the graphic interface is started, and the graphic interface cannot be starte

Http://blog.csdn.net/yutianzuijin/article/details/8147912category: Programming Language 2521 people read comments (0) Add to favorites report cudagpu Recently, I first tried Cuda programming. As a newbie, I encountered various problems and spent a lot of time solving these incredible problems. In order to avoid people from repeating the same mistakes, we will sum

Link addr One: Run the programAccording to the previous article, after installing the Cuda software, you can use the "nvcc-v" command to view the compiler version used, I use the version information from: "Cuda compilation tools, Release 3.2, V0.2.1221." Create a directory yourself, in which the new CU file, write code, save, you can use the terminal to switch to the corresponding directory to compile, comp

This series of articles will give a comprehensive introduction to parallel programming technology (also called multi-core programming technology) and applications in. net4. The topics in this article are as follows: 1. Differences between parallel programming and multi-threa

This program is to add two vectorsAddTid=blockidx.x;//blockidx is a built-in variable, blockidx.x represents this is a 2-D indexCode:/*============================================================================Name:vectorsum-cuda.cuAuthor:canVersion:Copyright:your Copyright NoticeDescription:cuda Compute reciprocals============================================================================*/#include using namespace Std;#define N 10__global__ void Add (int *a,int *b,int *c);static void Checkcud

char) (128.0f+127.0f*cos (d/10.0f-ticks/7.0f)/(d/10.0f+1.0f));Ptr[offset*4+0]=grey;Ptr[offset*4+1]=grey;Ptr[offset*4+2]=grey;ptr[offset*4+3]=255;}int main (){DataBlock data;Cpuanimbitmap bitmap (Dim,dim,data);Data.bitmap = bitmap;Cuda_check_return (Cudamalloc (void * *) data.dev_bitmap,bitmap.image_size ()));Bitmap.anim_and_exit ((Void (*) (Void*,int)) Generate_frame, (Void (*) (void*)) cleanup);}void Generate_frame (DataBlock *d,int ticks){A total of dimxdim pixels, each pixel corresponding to

This series of articles will give a comprehensive introduction to the parallel programming technologies in. NET 4 (also known as multi-core programming technology) and applications. The topics in this article are as follows:1. The difference between parallel programming and

multiprocessor architectures. The interface was initiated by SGI Corporation.Includes the compilation guide, the execution function library and the environment variable three parts, has the serial equivalence (whether using one or more threads to execute a program, all bring the same result, easier to maintain and understand) and incremental parallelism (the processor starts with a serial program, and then looks for those snippets that are worth parallelization).The execution model of Openmpi i

. Contains the compilation guide, the Run function library and the environment variable three parts, has the serial equivalence (whether using one or more threads to run a program, all results in the same result, easier to maintain and understand) and incremental parallelism (the processor starts with a serial program, and then looks for those snippets that are worth parallelization). Openmpi's execution model adopts the Fork-join form, that is, the main thread, which reduces the difficulty and