Parallel Programming for Modern High Performance Computing Systems

Pawel Czarnul

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English

CRC Press
28 February 2018

Computing: general; Supercomputers; Network management; Parallel processing

In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems.

It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms.

It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer.

The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment.

The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs.

Features:

Discusses the popular and currently available computing devices and cluster systems

Includes typical paradigms used in parallel programs

Explores popular APIs for programming parallel applications

Provides code templates that can be used for implementation of paradigms

Provides hybrid code examples allowing multi-level parallelization

Covers the optimization of parallel programs

By: Pawel Czarnul
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 589g
ISBN: 9781138305953
ISBN 10: 1138305952
Pages: 304
Publication Date: 28 February 2018
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1. Understanding the Need for Parallel Computing 2. Overview of Selected Parallel and Distributed Systems for High Performance Computing 3. Typical Paradigms for Parallel Applications 4. Selected APIs for Parallel Programming 5. Programming Parallel Paradigms Using Selected APIS 6. Optimization Techniques and Best Practices for Parallel Codes Appendix A. Resources Appendix B. Further reading

Pawel Czanul