{"product_id":"9781617296468","title":"Parallel and High Performance Computing","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eRobey, Robert; Zamora, Yuliana\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6\/22\/2021\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003e\u003ci\u003eParallel and High Performance Computing\u003c\/i\u003e offers techniques guaranteed to boost your code’s effectiveness.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003eComplex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. \u003ci\u003eParallel and High Performance Computing\u003c\/i\u003e shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eWrite fast, powerful, energy efficient programs that scale to tackle huge volumes of data. Using parallel programming, your code spreads data processing tasks across multiple CPUs for radically better performance. With a little help, you can create software that maximizes both speed and efficiency.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eParallel and High Performance Computing\u003c\/i\u003e offers techniques guaranteed to boost your code’s effectiveness. You’ll learn to evaluate hardware architectures and work with industry standard tools such as OpenMP and MPI. You’ll master the data structures and algorithms best suited for high performance computing and learn techniques that save energy on handheld devices. You’ll even run a massive tsunami simulation across a bank of GPUs.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003ePlanning a new parallel project\u003cbr\u003eUnderstanding differences in CPU and GPU architecture\u003cbr\u003eAddressing underperforming kernels and loops\u003cbr\u003eManaging applications with batch scheduling\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor experienced programmers proficient with a high-performance computing language like C, C++, or Fortran.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eRobert Robey\u003c\/b\u003e works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years. \u003cb\u003eYuliana Zamora\u003c\/b\u003e is currently a PhD student and Siebel Scholar at the University of Chicago, and has lectured on programming modern hardware at numerous national conferences.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART 1 INTRODUCTION TO PARALLEL COMPUTING\u003cbr\u003e1 Why parallel computing?\u003cbr\u003e2 Planning for parallelization\u003cbr\u003e3 Performance limits and profiling\u003cbr\u003e4 Data design and performance models\u003cbr\u003e5 Parallel algorithms and patterns\u003cbr\u003ePART 2 CPU: THE PARALLEL WORKHORSE\u003cbr\u003e6 Vectorization: FLOPs for free\u003cbr\u003e7 OpenMP that performs\u003cbr\u003e8 MPI: The parallel backbone\u003cbr\u003ePART 3 GPUS: BUILT TO ACCELERATE\u003cbr\u003e9 GPU architectures and concepts\u003cbr\u003e10 GPU programming model\u003cbr\u003e11 Directive-based GPU programming\u003cbr\u003e12 GPU languages: Getting down to basics\u003cbr\u003e13 GPU profiling and tools\u003cbr\u003ePART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS\u003cbr\u003e14 Affinity: Truce with the kernel\u003cbr\u003e15 Batch schedulers: Bringing order to chaos\u003cbr\u003e16 File operations for a parallel world\u003cbr\u003e17 Tools and resources for better code","brand":"Manning","offers":[{"title":"Default Title","offer_id":45064326709503,"sku":"9781617296468","price":69.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_69dd7f3d-5016-4d2b-885f-9fdfa8117a5a.jpg?v=1771351509","url":"https:\/\/massivebookshop.com\/products\/9781617296468","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}