rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: High performance parallelism pearls
    sub title: multicore and many-core programming approaches
  name:
    name part: Reinders, James
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Jeffers, Jim
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 2015
    copyright date: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (549 pages) : illustrations
  abstract: High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming - illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performan.
  table of contents: Front Cover; High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches; Copyright; Contents; Contributors; Acknowledgments; Foreword; Humongous computing needs: Science years in the making; Open standards; Keen on many-core architecture; Xeon Phi is born: Many cores, excellent vector ISA ; Learn highly scalable parallel programming; Future demands grow: Programming models matter; Preface; Inspired by 61 cores: A new era in programming; Chapter 1: Introduction; Learning from successful experiences; Code modernization; Modernize with concurrent algorithms
  table of contents: Modernize with vectorization and data localityUnderstanding power usage; ISPC and OpenCL anyone?; Intel Xeon Phi coprocessor specific; Many-core, neo-heterogeneous; No "Xeon Phi" in the title, neo-heterogeneous programming; The future of many-core; Downloads; Chapter 2: From "Correct" to "Correct & Efficient": A Hydro2D Case Study with Godunov's Scheme; Scientific computing on contemporary computers; Modern computing environments; CEA's Hydro2D; A numerical method for shock hydrodynamics; Euler's equation; Godunov's method; Where it fits; Features of modern architectures
  table of contents: Performance-oriented architectureProgramming tools and runtimes; Our computing environments; Paths to performance; Running Hydro2D; Hydro2D's structure; Computation scheme; Data structures; Measuring performance; Optimizations; Memory usage; Thread-level parallelism; Arithmetic efficiency and instruction-level parallelism; Data-level parallelism; Summary; The coprocessor vs the processor; A rising tide lifts all boats; Performance strategies; Chapter 3: Better Concurrency and SIMD on HBM ; The application: HIROMB -- BOOS -Model; Key usage: DMI ; HBM execution profile
  table of contents: Overview for the optimization of HBM Data structures: Locality done right; Thread parallelism in HBM ; Data parallelism: SIMD vectorization; Trivial obstacles; Premature abstraction is the root of all evil; Results; Profiling details; Scaling on processor vs. coprocessor; Contiguous attribute; Summary; References; Chapter 4: Optimizing for Reacting Navier-Stokes Equations; Getting started; Version 1.0: Baseline; Version 2.0: ThreadBox ; Version 3.0: Stack memory; Version 4.0: Blocking; Version 5.0: Vectorization; Intel Xeon Phi coprocessor results; Summary
  table of contents: Chapter 5: Plesiochronous Phasing BarriersWhat can be done to improve the code?; What more can be done to improve the code?; Hyper-Thread Phalanx; What is nonoptimal about this strategy?; Coding the Hyper-Thread Phalanx; How to determine thread binding to core and HT within core?; The Hyper-Thread Phalanx hand-partitioning technique; A lesson learned; Back to work; Data alignment; Use aligned data when possible; Redundancy can be good for you; The plesiochronous phasing barrier; Let us do something to recover this wasted time; A few "left to the reader" possibilities
  note: James Reinders, Jim Jeffers.
  note: Includes indexes.
  note: Includes bibliographical references and index.
  subject:
    topic: Parallel programming (Computer science)
    topic: Data processing
  subject:
    topic: Coprocessors
  subject:
    topic: Programmation parallèle (Informatique)
    topic: Informatique
  subject:
    topic: Coprocesseurs
  subject:
    topic: Coprocessors
  classification: QA76.642 .R456 2015eb
  classification: 005.275
  related item:
    title info:
      title: High performance parallelism pearls : multicore and many-core programming approaches
    name:
      name part: Reinders, James.
    origin info:
      publisher: Waltham, Massachusetts : Morgan Kaufmann, ©2015
    physical description:
      extent: xlv, 502 pages
  identifier: 9780128021996
  identifier: 0128021993
  identifier: 0128021187
  identifier: 9780128021187
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: E7B
    record creation date: 141201
    record change date: 20260326212926.7
    record identifier: in00005758650
    language of cataloging:
      language term: eng