Scientific Computing with Multicore and Accelerators (Hardcover)

The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial performance challenges for developers, including scalability, software tuning, and programming issues.

Researchers at the Forefront Reveal Results from Their Own State-of-the-Art Work
Edited by some of the top researchers in the field and with contributions from a variety of international experts, Scientific Computing with Multicore and Accelerators focuses on the architectural design and implementation of multicore and manycore processors and accelerators, including graphics processing units (GPUs) and the Sony Toshiba IBM (STI) Cell Broadband Engine (BE) currently used in the Sony PlayStation 3. The book explains how numerical libraries, such as LAPACK, help solve computational science problems; explores the emerging area of hardware-oriented numerics; and presents the design of a fast Fourier transform (FFT) and a parallel list ranking algorithm for the Cell BE. It covers stencil computations, auto-tuning, optimizations of a computational kernel, sequence alignment and homology, and pairwise computations. The book also evaluates the portability of drug design applications to the Cell BE and illustrates how to successfully exploit the computational capabilities of GPUs for scientific applications. It concludes with chapters on dataflow frameworks, the Charm++ programming model, scan algorithms, and a portable intracore communication framework.

Explores the New Computational Landscape of Hybrid Processors
By offering insight into the process of constructing and effectively using the technology, this volume provides a thorough and practical introduction to the area of hybrid computing. It discusses introductory concepts and simple examples of parallel computing, logical and performance debugging for parallel computing, and advanced topics and issues related to the use and building of many applications.

未來微處理器和大型高性能計算系統的混合/異質性將依賴於兩種主要組件：多核/多核心中央處理器和特殊用途硬件/大規模並行加速器。儘管這些技術有許多好處，但對開發人員來說也帶來了重大的性能挑戰，包括可擴展性、軟件調整和編程問題。

《Scientific Computing with Multicore and Accelerators》由該領域的頂尖研究人員編輯，並得到了各國專家的貢獻。該書專注於多核和多核心處理器以及加速器（包括圖形處理器（GPU）和目前用於Sony PlayStation 3的Sony Toshiba IBM（STI）Cell Broadband Engine（BE））的架構設計和實施。該書解釋了數值庫（如LAPACK）如何幫助解決計算科學問題；探討了硬件導向數值計算的新興領域；並介紹了用於Cell BE的快速傅立葉變換（FFT）和並行列表排序算法的設計。它還涵蓋了模板計算、自動調整、計算核心的優化、序列對齊和同源性以及成對計算。該書還評估了將藥物設計應用移植到Cell BE的可移植性，並說明了如何成功利用GPU的計算能力進行科學應用。最後，該書還介紹了數據流框架、Charm++編程模型、掃描算法和可移植的核內通信框架。

通過提供構建和有效使用該技術的洞察，這本書全面而實用地介紹了混合計算領域的相關知識。它討論了並行計算的入門概念和簡單示例，並介紹了並行計算的邏輯和性能調試以及與使用和構建多種應用程序相關的高級主題和問題。