大规模并行处理器编程实战,这本书市面上貌似已经绝版了,但是里面确实有一些值得参考的知识,比如在介绍CUDA存储器模型时,附图很形象,类似的例子还有许多,如果你处于CUDA的入门阶段,不妨一看,也许会对你有所启发!
2019-12-21 19:42:39 32.83MB CUDA GPU 并行编程
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介绍描述CUDA编程的入门级资源,包括CUDA对C的支持,编程与调试。CUDA存储器模型,线程模型等计算机体系结构内容。并行执行模型与并行编程规范。
2019-12-21 18:56:15 32.83MB CUDA 并行计算 GPU
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2D FFT基于CUDA的并行处理,适用于复数到复数的2D FFT
2019-12-21 18:51:32 237KB 2D;FFT
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并行处理实验报告:基于MPI实现的矩阵乘法的性能分析。里面包含MPI实现代码,稠密矩阵以及稀疏矩阵的加速比分析
2019-12-21 18:49:06 112KB MPI 矩阵乘法 并行处理
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介绍GPU,并行处理,内容非常得基础,相当容易懂
2019-12-21 18:44:25 32.83MB 并行处理 GPU
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John L. Hennessy is the president of Stanford University, where he has been a member of the faculty since 1977 in the departments of electrical engineering and computer science. Hennessy is a Fellow of the IEEE and ACM, a member of the National Academy of Engineering and the National Academy of Science, and a Fellow of the American Academy of Arts and Sciences. Among his many awards are the 2001 Eckert-Mauchly Award for his contributions to RISC technology, the 2001 Seymour Cray Computer Engineering Award, and the 2000 John von Neumann Award, which he shared with David Patterson. He has also received seven honorary doctorates. In 1981, he started the MIPS project at Stanford with a handful of graduate students. After completing the project in 1984, he took a one-year leave from the university to cofound MIPS Computer Systems, which developed one of the first commercial RISC microprocessors. After being acquired by Silicon Graphics in 1991, MIPS Technologies became an independent company in 1998, focusing on microprocessors for the embedded marketplace. As of 2006, over 500 million MIPS microprocessors have been shipped in devices ranging from video games and palmtop computers to laser printers and network switches. David A. Patterson has been teaching computer architecture at the University
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