如图1-1所示,GPU由一些block组成,每个block由几个streaming multiprocessors(SMs)和block私有的cache组成,每个SM由多个streaming processors(SPs)组成。整个GPU上有一块global memory,其可以被所有SPs访问,block的私有cache只能被其内部的SPs访问。内存结构很像CPU,有多级缓存,越靠近片
出版社:Morgan Kaufmann 副标题:A Hands-on Approach 出版年:2022-8-1 页数:608 装帧:Paperback ISBN:9780323912310 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional...
- 3 2 3 - 9 1 2 3 1 - 0 ebook isbn: 9780323984638 9 7 8 - 0 - 3 2 3 - 9 8 4 6 3 - 8 programming massively parallel processors: a hands-on approach shows both students and professionals alike the basic concepts of parallel programming and gpu architecture. concise, intuitive, ...
Programming Massively Parallel Processors: A Hands-on Approach, Third Editionshows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. ...
Programming Massively Parallel ProcessorsParallel programming (Computer scienceKirk, David; Hwu, Wen-meidoi:doi:http://dx.doi.org/Kirk, DavidHwu, Wen-mei清华大学出版社
定价:USD 69.95 装帧:Paperback ISBN:9780123814722 豆瓣评分 9.3 51人评价 5星 74.5% 4星 19.6% 3星 5.9% 2星 0.0% 1星 0.0% 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· Multi-core processors are no longer the future of computing-they are the present day reality. A typical...
Programming Massively Parallel Processors译者: Kirk, David B.;Hwu, Wen-mei W. 出版商: Elsevier Science 出版年: 2012 ISBN: 9780123914187 分类: [TP311.1 程序设计] 语种: ENG 简介 Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to progr...
1.1 Heterogeneous parallel computing 早期的计算机速度主要依靠CPU速度、内存速度实现高速计算。例如使用X86的计算机架构的AMD、Intel在早年(1980、1990)有着良好的性能表现,这些初期的处理器按照一个严格的顺序,一次执行一个指令,从而完成各种计算任务,他们依靠着提高CPU的时钟频率来加快CPU处理指令的速度。 然而随着单核...
I’m reading 3 first chapter ofProgramming Massively Parallel Processors: A Hands-on Approach 4th edition, it’s quite easy to understand for beginner like me. They go deep to distinguish 3 kind of different decorators in CUDA C. Any tips for beginner to read and practic...
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