Introduction to Concurrency in Programming Languages

Sottile Matthew J Mattson Timothy G. Sottile Matthew J. Rasmussen Craig E

ISBN 10: 1420072137 / ISBN 13: 9781420072136

Verlag: Taylor & Francis Group, 2009

Beschreibung

pp. xii + 344 CRC This item is printed on demand.

Bestandsnummer des Verkäufers 8311651

Bibliografische Details

• Titel: Introduction to Concurrency in Programming Languages
• Verlag: Taylor & Francis Group
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 1420072137
• ISBN-13: 9781420072136
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

Illustrating the effect of concurrency on programs written in familiar languages, this text focuses on novel language abstractions that truly bring concurrency into the language and aid analysis and compilation tools in generating efficient, correct programs. It also explains the complexity involved in taking advantage of concurrency. 

Über die Autorin bzw. den Autor

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.