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{ "item_title" : "High Performance Computing", "item_author" : [" Thomas Sterling", "Maciej Brodowicz", "Matthew Anderson "], "item_description" : "Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products.This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/12/823/035/0128230355_b.jpg", "price_data" : { "retail_price" : "89.95", "online_price" : "89.95", "our_price" : "89.95", "club_price" : "89.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
High Performance Computing|Thomas Sterling

High Performance Computing : Modern Systems and Practices

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Overview

Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products.

This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA.

This item is Non-Returnable

Details

  • ISBN-13: 9780128230350
  • ISBN-10: 0128230355
  • Publisher: Morgan Kaufmann Publishers
  • Publish Date: November 2024
  • Dimensions: 9.4 x 7.5 x 0.8 inches
  • Shipping Weight: 2.25 pounds
  • Page Count: 480

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