High Performance Computing: Programming and Applications (Hardcover)

John Levesque, Gene Wagenbreth

  • 出版商: CRC
  • 出版日期: 2010-12-14
  • 定價: $2,880
  • 售價: 9.0$2,592
  • 語言: 英文
  • 頁數: 244
  • 裝訂: Hardcover
  • ISBN: 1420077058
  • ISBN-13: 9781420077056
  • 相關分類: C 程式語言程式語言
  • 立即出貨 (庫存 < 3)



High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achieving high performance. Even though the text concentrates on C and Fortran, the techniques described can be applied to other languages, such as C++ and Java.

Drawing on their experience with chips from AMD and systems, interconnects, and software from Cray Inc., the authors explore the problems that create bottlenecks in attaining good performance. They cover techniques that pertain to each of the three levels of parallelism:

1. Message passing between the nodes
2. Shared memory parallelism on the nodes or the multiple instruction, multiple data (MIMD) units on the accelerator
3. Vectorization on the inner level

After discussing architectural and software challenges, the book outlines a strategy for porting and optimizing an existing application to a large massively parallel processor (MPP) system. With a look toward the future, it also introduces the use of general purpose graphics processing units (GPGPUs) for carrying out HPC computations. A companion website at www.hybridmulticoreoptimization.com contains all the examples from the book, along with updated timing results on the latest released processors.



作者們根據他們在AMD芯片和Cray Inc.系統、互連和軟件方面的經驗,探討了影響性能的瓶頸問題。他們涵蓋了與三個級別的並行性相關的技術:

1. 节点之间的消息传递
2. 节点上的共享内存并行性或加速器上的多指令多数据(MIMD)单元
3. 内部层次的向量化