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This book constitutes the refereed proceedings of the 11th International Workshop on OpenMP, held in Aachen, Germany, in October 2015. The 19 technical full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on applications, accelerator applications, tools, extensions, compiler and runtime, and energy.

Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Computer science. --- Computer hardware. --- Microprocessors. --- Computer system failures. --- Software engineering. --- Programming languages (Electronic computers). --- Algorithms. --- Computer Science. --- Processor Architectures. --- Programming Languages, Compilers, Interpreters. --- System Performance and Evaluation. --- Computer Hardware. --- Algorithm Analysis and Problem Complexity. --- Software Engineering. --- Algorism --- Algebra --- Arithmetic --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Computer software engineering --- Engineering --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Minicomputers --- Informatics --- Science --- Foundations --- Failures --- Computer system performance. --- Computer software. --- Software, Computer

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A guide to the most recent, advanced features of the widely used OpenMP parallel programming model, with coverage of major features in OpenMP 4.5.This book offers an up-to-date, practical tutorial on advanced features in the widely used OpenMP parallel programming model. Building on the previous volume, Using OpenMP: Portable Shared Memory Parallel Programming (MIT Press), this book goes beyond the fundamentals to focus on what has been changed and added to OpenMP since the 2.5 specifications. It emphasizes four major and advanced areas: thread affinity (keeping threads close to their data), accelerators (special hardware to speed up certain operations), tasking (to parallelize algorithms with a less regular execution flow), and SIMD (hardware assisted operations on vectors).As in the earlier volume, the focus is on practical usage, with major new features primarily introduced by example. Examples are restricted to C and C++, but are straightforward enough to be understood by Fortran programmers. After a brief recap of OpenMP 2.5, the book reviews enhancements introduced since 2.5. It then discusses in detail tasking, a major functionality enhancement; Non-Uniform Memory Access (NUMA) architectures, supported by OpenMP; SIMD, or Single Instruction Multiple Data; heterogeneous systems, a new parallel programming model to offload computation to accelerators; and the expected further development of OpenMP.

Parallel programming (Computer science) --- Application program interfaces (Computer software) --- OpenMP (Application program interface) --- APIs (Computer software) --- Interfaces, Application program (Computer software) --- Application software --- Computer programming --- Parallel processing (Electronic computers) --- Open Multi-Processing (Application program interface) --- COMPUTER SCIENCE/High Performance Computing