spring sale! up to 25% off books and ebooks plus free shipping. home books subjects computer science programming massively parallel processors programming massively parallel processors a hands-on approach 3rd edition - november 24, 2016 imprint: morgan kaufmann authors: david b. kirk, wen-mei w....
Programming Massively Parallel Processors: A Hands-on Approach,Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture,exploring,in detail,various techniques for constructing parallel programs. Case studies demonstrate the development process,detail...
Programming Massively Parallel Processors. A Hands-on Approach [3rd ed.]Preface...Page 3\n1 Introduction...Page 9\n1.1 Heterogeneous Parallel Computing...Page 10\n1.2 Architecture of a Modern GPU...Page 14\n1.3 Why More Speed or Parallelism?...Page 16\n1.4 Speeding Up Real Applications.....
(2010). Programming Massively Parallel Processors. 1st. ed. Burlington, MA 01803, USA: Morgan Kaufmann Publishers. NVIDIA Corporation (2011, May). NVIDIA CUDA C Programming Guide. (Version 4.0). Santa Clara, CA 95050, USA Available from: http://developer.download.nvidia.com/compute/cuda/4_0...
august 20, 2024 contributors yong wang yong wang title programming massively parallel processors programming massively parallel processors 4th edition - publication date (may 28, 2022) 4th edition - may 28, 2022 contributors wen-mei w. hwu + 2 more wen-mei w. hwu + 2 more title cloud ...
Multi-core processors can run several threads in parallel, which communicate via a shared memory. Finally, GPUs allow to run typically thousands of threads in an SIMD (single instruction multiple data) style, where the same instruction is executed on different data stored in a separate GPU ...
So, a general idea about parallel and distributed systems, multi-core processors, memory hierarchy and GPUs, are presented to the students. These objectives become a challenge because it is necessary to provide the students useful real architecture concepts while avoiding too deep architectural details...
Mars: accelerating MapReduce with graphics processors IEEE Trans. Parallel Distrib. Syst., 22 (4) (2011), pp. 608-620 View in ScopusGoogle Scholar [21] M. Zaharia, A. Konwinski, A.D. Joseph, R.H. Katz, I. Stoica Improving MapReduce performance in heterogeneous environments Proceedings ...
(hardback + ebook) (hardback + ebook) title programming massively parallel processors programming massively parallel processors 3rd edition - publication date (november 24, 2016) 3rd edition - november 24, 2016 contributors david b. kirk + 1 more david b. kirk + 1 more format ebook ebook ...
programming any modern parallel computing system whether based on intel xeon processors, intel xeon phi processors, or other high-performance microprocessors. applying these techniques will generally increase your program performance on any system and prepareyou better for intel xeon phi processors. ...