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: Parallel Programming
    sub title: For Multicore and Cluster Systems
  name:
    name part: Rauber, Thomas.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Rünger, Gudula.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 456 p. 156 illus. online resource.
  abstract: Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
  table of contents: Parallel Computer Architecture -- Parallel Programming Models -- Performance Analysis of Parallel Programs -- Message-Passing Programming -- Thread Programming -- Algorithms for Systems of Linear Equations.
  note: by Thomas Rauber, Gudula Rünger.
  subject:
    topic: Computer science
  subject:
    topic: Microprocessors
  subject:
    topic: Computer communication systems
  subject:
    topic: Computer system failures
  subject:
    topic: Software engineering
  subject:
    topic: Computer programming
  subject:
    topic: Computer mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Software Engineering/Programming and Operating Systems
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Programming Techniques
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: System Performance and Evaluation
  subject:
    topic: Processor Architectures
  classification: QA76.758
  classification: 005.1
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642048180
  identifier: http://dx.doi.org/10.1007/978-3-642-04818-0
  record info:
    record creation date: 100316
    record change date: 20151204180303.0
    record identifier: 978-3-642-04818-0