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Author:
Publisher:
ISBN:
Category : High performance computing
Languages : en
Pages : 280
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Book Description
Author:
Publisher:
ISBN:
Category : High performance computing
Languages : en
Pages : 280
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Book Description
Author:
Publisher:
ISBN:
Category : Supercomputers
Languages : en
Pages : 500
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Book Description
Author: Martin Wirsing
Publisher: Springer Science & Business Media
ISBN: 9783540516989
Category : Computers
Languages : en
Pages : 572
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Book Description
Author: Fathi Habashi
Publisher: CRC Press
ISBN: 9782884490320
Category : Technology & Engineering
Languages : en
Pages : 932
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Book Description
First published in 1995. Routledge is an imprint of Taylor & Francis, an informa company.
Author:
Publisher:
ISBN:
Category : Power resources
Languages : en
Pages : 852
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Book Description
Author: Norman Meyrowitz
Publisher:
ISBN:
Category : Object-oriented programming (Computer science)
Languages : en
Pages : 732
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Book Description
Author: Karyn R. Ames
Publisher: Univ of California Press
ISBN: 0520336038
Category : Computers
Languages : en
Pages : 640
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Book Description
This uniquely comprehensive book brings together the vast amount of technical, economic, and political information and the analyses of supercomputing that have hitherto been buried in the frequently inaccessible "gray literature." Seventy-nine distinguished participants in the second Frontiers of Supercomputing conference offer perceptive and often controversial views on the emerging computing environment in the United States. This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1994.
Author: Geoffrey C. Fox
Publisher:
ISBN: 9780138297145
Category : Computers
Languages : en
Pages : 844
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Book Description
This volume I concentrates on practically motivated model problems which serve to illustrate generic algorithmic and composition techniques.
Author: Joachim von zur Gathen
Publisher: Cambridge University Press
ISBN: 1107245257
Category : Computers
Languages : en
Pages : 811
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Book Description
Computer algebra systems are now ubiquitous in all areas of science and engineering. This highly successful textbook, widely regarded as the 'bible of computer algebra', gives a thorough introduction to the algorithmic basis of the mathematical engine in computer algebra systems. Designed to accompany one- or two-semester courses for advanced undergraduate or graduate students in computer science or mathematics, its comprehensiveness and reliability has also made it an essential reference for professionals in the area. Special features include: detailed study of algorithms including time analysis; implementation reports on several topics; complete proofs of the mathematical underpinnings; and a wide variety of applications (among others, in chemistry, coding theory, cryptography, computational logic, and the design of calendars and musical scales). A great deal of historical information and illustration enlivens the text. In this third edition, errors have been corrected and much of the Fast Euclidean Algorithm chapter has been renovated.
Author: Robert Kuhn
Publisher: Springer Nature
ISBN: 3031017684
Category : Technology & Engineering
Languages : en
Pages : 166
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Book Description
This historical survey of parallel processing from 1980 to 2020 is a follow-up to the authors’ 1981 Tutorial on Parallel Processing, which covered the state of the art in hardware, programming languages, and applications. Here, we cover the evolution of the field since 1980 in: parallel computers, ranging from the Cyber 205 to clusters now approaching an exaflop, to multicore microprocessors, and Graphic Processing Units (GPUs) in commodity personal devices; parallel programming notations such as OpenMP, MPI message passing, and CUDA streaming notation; and seven parallel applications, such as finite element analysis and computer vision. Some things that looked like they would be major trends in 1981, such as big Single Instruction Multiple Data arrays disappeared for some time but have been revived recently in deep neural network processors. There are now major trends that did not exist in 1980, such as GPUs, distributed memory machines, and parallel processing in nearly every commodity device. This book is intended for those that already have some knowledge of parallel processing today and want to learn about the history of the three areas. In parallel hardware, every major parallel architecture type from 1980 has scaled-up in performance and scaled-out into commodity microprocessors and GPUs, so that every personal and embedded device is a parallel processor. There has been a confluence of parallel architecture types into hybrid parallel systems. Much of the impetus for change has been Moore’s Law, but as clock speed increases have stopped and feature size decreases have slowed down, there has been increased demand on parallel processing to continue performance gains. In programming notations and compilers, we observe that the roots of today’s programming notations existed before 1980. And that, through a great deal of research, the most widely used programming notations today, although the result of much broadening of these roots, remain close to target system architectures allowing the programmer to almost explicitly use the target’s parallelism to the best of their ability. The parallel versions of applications directly or indirectly impact nearly everyone, computer expert or not, and parallelism has brought about major breakthroughs in numerous application areas. Seven parallel applications are studied in this book.
