Add a description, image, and links to the shared-memory-parallel topic page so that developers can more easily learn about it. Curate this topic Add this topic to your repo To associate your repository with the shared-memory-parallel topic, visit your repo's landing page and select "...
To overcome the efficiency bottleneck, a coarse-grained parallel multi-target tracking implementation based on the OpenMP-specified shared-memory parallel programming model was explored. A list of tracked targets was maintained in a shared variable, and each target was tracked by an independent ...
As you can see, a reference to int sum is passed to the Body object Summer. At first I expected the parallel version not to give the right answer since sum is shared and might not always be correctly incremented. That's why I added the spin_mutex, but the problem remaine...
You can compile your program with the SMP option to generate threaded code that exploits shared-memory parallelism. The SMP option implies the HOT option and an optimization level of OPTIMIZE(2).
Previous workshops in this series took place in Toronto, Canada, Fairbanks, Alaska, Purdue, Indiana, and San Diego, California.Thepurposeoftheworkshopwastobringtogetherusersanddevel- ers of the OpenMP API for shared memory parallel programming to disseminate their ideas and experiences and discuss ...
Shared-Memory Programming with OpenMP CHAPTER 5 Like Pthreads, OpenMP is an API for shared-memory parallel programming. The "MP" in OpenMP stands for "multiprocessing," a term that is synonymous with shared-memory parallel computing. Thus, OpenMP is designed for systems in which each thread or...
Parallel access是最通常的模式,这个模式一般暗示,一些(也可能是全部)地址请求能够被一次传输解决。理想情况是,获取无conflict的shared memory的时,每个地址都在落在不同的bank中。 Serial access是最坏的模式,如果warp中的32个thread都访问了同一个bank中的不同位置,那就是32次单独的请求,而不是同时访问了。
KaMinPar is a shared-memory parallel tool to heuristically solve the graph partitioning problem: divide a graph into k disjoint blocks of roughly equal weight while minimizing the number of edges between blocks. Competing algorithms are mostly evaluated for small values of k. If k is large, they...
共享内存(shared memory)是位于SM上的on-chip(片上)一块内存,每个SM都有,就是内存比较小,早期的GPU只有16K(16384),现在生产的GPU一般都是48K(49152)。 共享内存由于是片上内存,因而带宽高,延迟小(较全局内存而言),合理使用共享内存对程序效率具有很大提升。
Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU 为什么需要MergeSharedMemoryAllocations这个 Pass? 在高性能的GPU Kernel中,共享内存(shared memory)的使用对于性能优化至关重要,普通的Tile划分需要在Shared Memory上做Cache,软件流水还会成倍得增加Shared Memory的使用,Block内跨线程...