Jack Rabbit | An Effective Cell BE Programming System for High Performance Parallelism

Apollo Ellis

ISBN 10: 3846557463 / ISBN 13: 9783846557464

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

Jack Rabbit | An Effective Cell BE Programming System for High Performance Parallelism | Apollo Ellis | Taschenbuch | 84 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846557464 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106649139

Bibliographic Details

• Title: Jack Rabbit | An Effective Cell BE Programming System for High Performance Parallelism
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3846557463
• ISBN 13: 9783846557464
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 143 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The Cell processor is an example of the trade-offs made when designing a mass market power efficient multi-core machine, but the machine-exposing architecture and raw communication mechanisms of Cell are hard to manage for a programmer. Cell’s design is simple and causes software complexity to go up in the areas of achieving low threading overhead, good bandwidth efficiency, and load balance. Several attempts have been made to produce efficient and effective programming systems for Cell, but the attempts have been too specialized and thus fall short. We present Jack Rabbit, an efficient thread pool work queue implementation, with load balancing mechanisms and double buffering. Our system incurs low threading overhead, gets good load balance, and achieves bandwidth efficiency. Our system represents a step towards an effective way to program Cell and any similar current or future processors.

About the Author

Apollo Isaac Orion Ellis received the B.A. degree in Computer Science from the University of California, Berkeley in May 2008, and graduated with a Master's of Science in Computer Science from the University of Texas at Austin in May 2011. His interests include computer graphics and parallel systems, and he is currently employed by Intel Corp.