Intel® Cilk Plus Software Development Kit

Intel® Parallel Studio XE 2016 Beta

  • Entwickler
  • Partner
  • Professoren
  • Studenten
  • Apple OS X*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • Business Client
  • Server
  • .NET*
  • C#
  • C/C++
  • Fortran
  • Cluster Tools
  • Intel® Cluster Checker
  • Intel® MPI Benchmarks
  • Intel® Trace-Analyzer und -Collector
  • Intel® C++-Compiler
  • Intel® C++ Composer XE
  • Intel® Cilk™ Plus
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Visual Fortran Composer XE
  • Debugger
  • Intel® Data Analytics Acceleration Library
  • Intel® Integrated-Performance-Primitives
  • Intel® Math Kernel Library
  • Intel® MPI Library
  • Intel® Threading Building Blocks
  • Intel® C++ Studio XE
  • Intel® Cluster Studio XE
  • Intel® Fortran Studio XE
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE Cluster Edition
  • Intel® Parallel Studio XE Composer Edition
  • Intel® Parallel Studio XE Professional Edition
  • Intel® Advisor XE
  • Intel® VTune™ Amplifier XE
  • Intel® Inspector XE
  • Intel® Cilk Plus Software Development Kit
  • Intel® Cluster Poisson Solver Library
  • Intel® Streaming SIMD Extensions
  • Message Passing Interface
  • Akademischer Bereich
  • Große Datenmengen
  • Cluster-Computing
  • Debugging
  • Entwicklungstools
  • Finanzdienstleistungsbranche
  • Geolokalisierung
  • Gesundheitswesen
  • Optimierung
  • Parallel Computing
  • Threading
  • Vektorisierung
  • Efficient Parallelization

    Compiler Methodology for Intel® MIC Architecture

    Efficient Parallelization

    Overview

    This chapter covers topics in parallelization. There are links to various parallelization methods and resources along with tips and techniques for getting optimal parallel performance.

    Goals

    In this chapter, you will learn techniques for the Intel OpenMP* runtime library provided with the Intel compilers, Intel® MPI, Intel® Cilk™ Plus, and Intel® Threading Building Blocks (Intel® TBB).

  • Entwickler
  • Linux*
  • C/C++
  • Fortran
  • Experten
  • Intel® C++-Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Threading Building Blocks
  • Intel® Cilk Plus Software Development Kit
  • OpenMP*
  • Intel® Many Integrated Core Architektur
  • Optimierung
  • Parallel Computing
  • 高效并行化

    Efficient Parallelization Document

    高效并行化文档

    面向英特尔® 集成众核架构的编译器方法

    高效并行化

    概述

    本章介绍并行化。其中有各种并行化方法与资源的链接以及如何获取最佳并行化性能的技巧。

  • Entwickler
  • Linux*
  • C/C++
  • Fortran
  • Experten
  • Intel® C++-Compiler
  • Intel® C++ Composer XE
  • Intel® Composer XE
  • Intel® Fortran Compiler
  • Intel® Fortran Composer XE
  • Intel® Threading Building Blocks
  • Intel® Cilk Plus Software Development Kit
  • OpenMP*
  • Intel® Many Integrated Core Architektur
  • Optimierung
  • Parallel Computing
  • Intel® Parallel Debugger Extension

    This whitepaper provides tips and tricks on how to best take advantage of the additional insight into parallel data constructs the Intel® Parallel Debugger Extension brings to the Microsoft Visual Studio* debug environment. In doing so it provides a high-level overview of the Intel® Parallel Debugger Extension for Microsoft Visual Studio* and the key features that enhance the debug experience.
  • Microsoft Windows* (XP, Vista, 7)
  • C/C++
  • Fortgeschrittene
  • Intel® C++-Compiler
  • Intel® Parallel Composer
  • Intel® Parallel Studio
  • Intel® Parallel Studio XE
  • Intel® Cilk Plus Software Development Kit
  • Intel® Parallel Debugger Extension for Microsoft Visual Studio
  • OpenMP*
  • Debugging
  • Parallel Computing
  • SIGCSE2012 Workshop 23 Parallelism and Concurrency for Data-Structures & Algorithms courses

    This workshop is inspired by Dan Grossman’s SIGCSE 2011 workshop on Data Abstractions. We review C/C++ conversions of the original Java-based materials and will include material from the Parallel Algorithms course at Kent State. The workshop will appeal to data-structure and algorithms course instructors. Workshop topics will include divide and conquer approaches, work sharing concepts, and a scoped locking scheme in OpenMP for C++ classes.

    Intel® Cilk Plus Software Development Kit abonnieren