{"product_id":"parallel-and-high-performance-computing-9781617296468","title":"Parallel and High Performance Computing","description":"\u003cb\u003e\u003ci\u003eParallel and High Performance Computing\u003c\/i\u003e offers techniques guaranteed to boost your code's effectiveness.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eSummary\u003c\/b\u003e\u003cbr\u003e Complex 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. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003e Write 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. \u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Planning a new parallel project\u003cbr\u003e Understanding differences in CPU and GPU architecture\u003cbr\u003e Addressing underperforming kernels and loops\u003cbr\u003e Managing applications with batch scheduling \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003e For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran. \u003cp\u003e\u003c\/p\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. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e PART 1 INTRODUCTION TO PARALLEL COMPUTING\u003cbr\u003e 1 Why parallel computing?\u003cbr\u003e 2 Planning for parallelization\u003cbr\u003e 3 Performance limits and profiling\u003cbr\u003e 4 Data design and performance models\u003cbr\u003e 5 Parallel algorithms and patterns\u003cbr\u003e PART 2 CPU: THE PARALLEL WORKHORSE\u003cbr\u003e 6 Vectorization: FLOPs for free\u003cbr\u003e 7 OpenMP that performs\u003cbr\u003e 8 MPI: The parallel backbone\u003cbr\u003e PART 3 GPUS: BUILT TO ACCELERATE\u003cbr\u003e 9 GPU architectures and concepts\u003cbr\u003e 10 GPU programming model\u003cbr\u003e 11 Directive-based GPU programming\u003cbr\u003e 12 GPU languages: Getting down to basics\u003cbr\u003e 13 GPU profiling and tools\u003cbr\u003e PART 4 HIGH PERFORMANCE COMPUTING ECOSYSTEMS\u003cbr\u003e 14 Affinity: Truce with the kernel\u003cbr\u003e 15 Batch schedulers: Bringing order to chaos\u003cbr\u003e 16 File operations for a parallel world\u003cbr\u003e 17 Tools and resources for better code\u003cbr\u003e\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. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eYuliana Zamora\u003c\/b\u003e has lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.\u003cbr\u003e","brand":"Manning Publications","offers":[{"title":"Default Title","offer_id":50444102664466,"sku":"9781617296468","price":64.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_ac1a7e62-afde-4a91-ad44-cf23e9609812.jpg?v=1729677124","url":"https:\/\/surprise-castle.myshopify.com\/products\/parallel-and-high-performance-computing-9781617296468","provider":"Surprise Castle","version":"1.0","type":"link"}