Scalable Shared-Memory Multiprocessing
Download or Read eBook Scalable Shared-Memory Multiprocessing PDF written by Daniel E. Lenoski and published by Elsevier. This book was released on 2014-06-28 with total page 364 pages. Available in PDF, EPUB and Kindle.
| Author | : Daniel E. Lenoski |
| Publisher | : Elsevier |
| Total Pages | : 364 |
| Release | : 2014-06-28 |
| ISBN-10 | : 9781483296012 |
| ISBN-13 | : 1483296016 |
| Rating | : 4/5 (12 Downloads) |
Book Synopsis Scalable Shared-Memory Multiprocessing by : Daniel E. Lenoski
Book excerpt: Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.
