ShopSpell

High-Performance Scientific Computing Algorithms and Applications [Hardcover]

$79.99     $109.99    27% Off      (Free Shipping)
100 available
  • Category: Books (Computers)
  • ISBN-10:  1447124367
  • ISBN-10:  1447124367
  • ISBN-13:  9781447124368
  • ISBN-13:  9781447124368
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  350
  • Pages:  350
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2012
  • Pub Date:  01-Feb-2012
  • SKU:  1447124367-11-SPRI
  • SKU:  1447124367-11-SPRI
  • Item ID: 100797424
  • List Price: $109.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 03 to Jul 05
  • Notes: Brand New Book. Order Now.
This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.Presenting the state of the art in parallel numerical algorithms, applications, architectures and system software, this book examines solutions for issues of concurrency, scale, energy efficiency and programmability, in a diverse range of applications.

Advances in the development of parallel algorithms and system software now enable the ever-increasing power of scalable high-performance computers to be harnessed for scientific computing applications at fidelities that rival  and in many cases exceed  experimental methodologies.

This comprehensive text/reference, inspired by the visionary work of Prof. Ahmed H. Sameh, represents the state of the art in parallel numerical algorithms, applications, architectures, and system software. Articles in this collection address various challenges arising from concurrency, scale, energy efficiency, and programmability, and associated solutions that have shaped the current high-performance computing landscape. These solutioló˛

Add Review