Introduction to Concurrency in Programming Languages - Sottile, Matthew J; Mattson, Timothy G; Rasmussen, Craig E
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High-performance parallel architectures have been available for many years, but now for the first time, parallel computers can be found on the desktop and are available to everyday users. Designed specifically for application developers, Introduction to Concurrency in Programming Languages provides a survey of high-level programming constructs that make parallel programming more accessible. The book covers the history of parallel languages and explains the relation of hardware developments that motivated these languages to modern systems. It also describes the current state of the art in…mehr

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Produktbeschreibung
High-performance parallel architectures have been available for many years, but now for the first time, parallel computers can be found on the desktop and are available to everyday users. Designed specifically for application developers, Introduction to Concurrency in Programming Languages provides a survey of high-level programming constructs that make parallel programming more accessible. The book covers the history of parallel languages and explains the relation of hardware developments that motivated these languages to modern systems. It also describes the current state of the art in parallel languages, with a focus on the PGAS and HPCS language families. Each chapter is accompanied by a set of exercises.
Autorenporträt
Matthew J. Sottile is a research associate and adjunct assistant professor in the Department of Computer and Information Sciences at the University of Oregon. He has a significant publication record in both high performance computing and scientific programming. Dr. Sottile is currently working on research in concurrent programming languages and parallel algorithms for signal and image processing in neuroscience and medical applications. Timothy G. Mattson is a principal engineer at Intel Corporation. Dr. Mattson's noteworthy projects include the world's first TFLOP computer, OpenMP, the first generally programmable TFLOP chip (Intel's 80 core research chip), OpenCL, and pioneering work on design patterns for parallel programming. Craig E Rasmussen is a staff member in the Advanced Computing Laboratory at Los Alamos National Laboratory (LANL). Along with extensive publications in computer science, space plasma, and medical physics, Dr. Rasmussen is the principal developer of PetaVision, a massively parallel, spiking neuron model of visual cortex that ran at 1.14 Petaflops on LANL's Roadrunner computer in 2008.