Parallel Computer Architecture

Architecture of Computing Systems -- ARCS 2013  eBooks & eLearning

Posted by step778 at March 18, 2024
Architecture of Computing Systems -- ARCS 2013

Hana Kubatova, Christian Hochberger, Martin Daněk, "Architecture of Computing Systems – ARCS 2013"
English | 2013 | pages: 364 | ISBN: 3642364233 | PDF | 11,8 mb

Computer Architecture and System Design [Repost]  eBooks & eLearning

Posted by AlenMiler at Nov. 26, 2014
Computer Architecture and System Design [Repost]

Computer Architecture and System Design by J. Vaideeswaran
English | December 1, 2008 | ISBN: 8122412033 | 208 pages | PDF | 8 MB

The book is a comprehensive coverage of the architectural aspects and oganisational features of computing systems.

Accelerators for Convolutional Neural Networks  eBooks & eLearning

Posted by Free butterfly at March 8, 2025
Accelerators for Convolutional Neural Networks

Accelerators for Convolutional Neural Networks by Arslan Munir, Joonho Kong, Mahmood Azhar Qureshi
English | October 31, 2023 | ISBN: 1394171889 | 304 pages | MOBI | 24 Mb

Computer Architecture and System Design  eBooks & eLearning

Posted by tot167 at July 4, 2009
Computer Architecture and System Design

Computer Architecture and System Design
New Age International, New Delhi | 1999 | ISBN: 8122412033 | 209 pages | PDF | 7,7 MB

Accelerators for Convolutional Neural Networks  eBooks & eLearning

Posted by Free butterfly at March 8, 2025
Accelerators for Convolutional Neural Networks

Accelerators for Convolutional Neural Networks by Arslan Munir, Joonho Kong, Mahmood Azhar Qureshi
English | October 31, 2023 | ISBN: 1394171889 | 304 pages | MOBI | 24 Mb

Algorithm Design for Computer System Design  eBooks & eLearning

Posted by AvaxGenius at Jan. 3, 2021
Algorithm Design for Computer System Design

Algorithm Design for Computer System Design by G. Ausiello
English | PDF | 1984 | 239 Pages | ISBN : 3211818162 | 14.2 MB

For a long time the design of data processing systems has been mainly based on experience and practical considerations more than on formal quantitative approaches. This was true both in the design of computer architecture and in the design of software systems such as operating systems and database systems. Two relevant exceptions were the early studies in switching theory, concerned with such problems as minimization and reliability, on the one hand, and on the other hand, the general mathematical approach to computer system modeling and performance evaluation. More recently, the evaluation of distributed computing related to technological advances in microelectronics, has increased the need for quantitative studies for optimizing the design of computer systems.

Parallel Programming: for Multicore and Cluster Systems (2nd edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Nov. 29, 2017
Parallel Programming: for Multicore and Cluster Systems (2nd edition) [Repost]

Thomas Rauber, Gudula Rünger - Parallel Programming: for Multicore and Cluster Systems (2nd edition)
Published: 2013-06-08 | ISBN: 3642378005, 3642438067 | PDF | 516 pages | 9.16 MB

Parallel Programming: for Multicore and Cluster Systems  eBooks & eLearning

Posted by avava at Sept. 7, 2013
Parallel Programming: for Multicore and Cluster Systems

Thomas Rauber, "Parallel Programming: for Multicore and Cluster Systems"
ISBN: 3642378005 | 2013 | PDF | 522 pages | 9.2 MB

Parallel Programming: for Multicore and Cluster Systems, 2nd edition (repost)  eBooks & eLearning

Posted by arundhati at Jan. 4, 2014
Parallel Programming: for Multicore and Cluster Systems, 2nd edition (repost)

Thomas Rauber, "Parallel Programming: for Multicore and Cluster Systems, 2nd edition"
2013 | ISBN-10: 3642378005 | PDF | 522 pages | 9,2 MB

Parallel Programming: For Multicore and Cluster Systems  eBooks & eLearning

Posted by hill0 at Nov. 30, 2017
Parallel Programming: For Multicore and Cluster Systems

Parallel Programming: For Multicore and Cluster Systems by Thomas Rauber
English | 25 Jun. 2013 | ISBN: 3642378005 | 532 Pages | EPUB | 7.84 MB

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts