Scientific computing with multicore and accelerators - Info and Reading Options
By Jakub Kurzak
"Scientific computing with multicore and accelerators" was published by CRC Press in 2010 - Boca Raton, it has 480 pages and the language of the book is English.
“Scientific computing with multicore and accelerators” Metadata:
- Title: ➤ Scientific computing with multicore and accelerators
- Author: Jakub Kurzak
- Language: English
- Number of Pages: 480
- Publisher: CRC Press
- Publish Date: 2010
- Publish Location: Boca Raton
- Dewey Decimal Classification: 502.85
- Library of Congress Classification: Q183.9 .S325 2010QA76.57Q183.9 .S325 2011
“Scientific computing with multicore and accelerators” Subjects and Themes:
- Subjects: ➤ Science - Multiprocessors - High performance computing - MATHEMATICS / Advanced - Engineering - MATHEMATICS / Number Systems - Data processing - MATHEMATICS / General - Data transmission systems - Engineering graphics - Science, data processing - Engineering, data processing - Sciences - Informatique - Ingénierie - Superinformatique - Multiprocesseurs - General
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL24479003M - OL15520830W
- Online Computer Library Center (OCLC) ID: 651075073 - 756485782 - 731034070 - 957984210
- Library of Congress Control Number (LCCN): 2010037123
- ISBN-13: 9781439825365
- All ISBNs: 9781439825365
AI-generated Review of “Scientific computing with multicore and accelerators”:
"Scientific computing with multicore and accelerators" Description:
The Open Library:
"The current trend in microprocessor architecture is toward powerful multicore designs in which a node contains several full-featured processing cores, private and shared caches, and memory. The IBM Cell Broadband Engine (B.E.) and Graphics Processing Units (GPUs) are two accelerators that are used for a variety of computations, including signal processing and quantum chemistry. This is the first reference on the use of Cell B.E. and GPUs as accelerators for numerical kernels, algorithms, and computational science and engineering applications. With contributions from leading experts, the book covers a broad range of topics on the increased role of these accelerators in scientific computing"--
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