Kategoria BISAC: Computers >> Distributed Systems - General

- Report on current research in the field in an area...

This book constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2002, held in conjunction with HPDC-11 and FFG-5 in Edinburgh, Scotland in July 2002.

The 12 revised full papers presented were carefully reviewed and selected during two rounds of reviewing and revision; they present state-of-the-art research results in the area with emphasis on classical massively parallel processing scheduling, in particular backfilling, and on scheduling in the context of grid computing.

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers.

The text first introduces the architecture of modern cache-based microprocessors and...

This book describes the coarray parallel programming model that will be part of the next standard version of the Fortran language. It provides a practical guide for Fortran programmers who want to start writing parallel applications using coarrays as soon as the compilers become commercially available. The authors present the technical specification of the coarray model in enough detail for programmers to write standard-conforming code. They also offer a large number of examples of parallel algorithms written in the coarray model and include exercises with solutions. A supplementary...

Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.

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If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.