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Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors' open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings.
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Parallel programming (Computer science) --- Parallel algorithms --- Computer algorithms --- Algorithms
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This book presents a study on how thread and data mapping techniques can be used to improve the performance of multi-core architectures. It describes how the memory hierarchy introduces non-uniform memory access, and how mapping can be used to reduce the memory access latency in current hardware architectures. On the software side, this book describes the characteristics present in parallel applications that are used by mapping techniques to improve memory access. Several state-of-the-art methods are analyzed, and the benefits and drawbacks of each one are identified.
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This book provides an overview of and essential insights on invasive computing. Pursuing a comprehensive approach, it addresses proper concepts, invasive language constructs, and the principles of invasive hardware. The main focus is on the important topic of how to map task-parallel applications to future multi-core architectures including 1,000 or more processor units. A special focus today is the question of how applications can be mapped onto such architectures while not only taking into account functional correctness, but also non-functional execution properties such as execution times and security properties. The book provides extensive experimental evaluations, investigating the benefits of applying invasive computing and hybrid application mapping to give guarantees on non-functional properties such as timing, energy, and security. The techniques in this book are presented in a step-by-step manner, supported by examples and figures. All proposed ideas for providing guarantees on performance, energy consumption, and security are enabled by using the concept of invasive computing and the exclusive usage of resources.
Parallel programming (Computer science) --- Computer architecture. --- Parallel processing (Electronic computers) --- Architecture, Computer --- Engineering. --- Microprocessors. --- Electronic circuits. --- Circuits and Systems. --- Processor Architectures. --- Electronic Circuits and Devices. --- Computer programming --- High performance computing --- Multiprocessors --- Supercomputers --- Systems engineering. --- Computer science. --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics
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This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just‐in-time compilation. The new, on‐demand fault‐tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors. .
Parallel programming (Computer science) --- Computer architecture. --- Engineering. --- Microprocessors. --- Electronics. --- Microelectronics. --- Electronic circuits. --- Circuits and Systems. --- Processor Architectures. --- Electronics and Microelectronics, Instrumentation. --- Architecture, Computer --- Computer programming --- Parallel processing (Electronic computers) --- Systems engineering. --- Computer science. --- Electrical engineering --- Physical sciences --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes
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