A Technology-Scalable Matrix Processor for Data Parallel Applications | Trident Processor

Mostafa Soliman

ISBN 10: 3844395326 / ISBN 13: 9783844395327

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

A Technology-Scalable Matrix Processor for Data Parallel Applications | Trident Processor | Mostafa Soliman | Taschenbuch | 228 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844395327 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106972095

Bibliographic Details

• Title: A Technology-Scalable Matrix Processor for Data Parallel Applications | Trident Processor
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3844395326
• ISBN 13: 9783844395327
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 358 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book overviews VLSI technology constraints and introduces the architecture of the Trident processor, which tries to overcome these constraints and to satisfy the requirement of future applications. In addition, this book proposes the use of a multi-level instruction set architecture (ISA) to express fine-grain data parallelism to the Trident processor instead of using a huge transistor budget to dynamically extract it. Since the fundamental data structures for a wide variety of data parallel applications are scalar, vector, and matrix, our proposed Trident processor extends a scalar ISA with vector and matrix instruction sets to effectively process data parallel applications. Like vector microarchitectures, the Trident processor consists of a set of parallel lanes (each lane contains a set of vector pipelines and a slice of a register file) combined with a fast scalar core. However, the Trident processor can effectively process on parallel lanes not only vector but also matrix data.

About the Author

Mostafa I. Soliman is an associate professor at the South Valley University, Egypt. He received M.E. (1998) from Egypt and Ph.D. (2004) from Aizu University, Japan in Computer Science and Engineering. He is interested in computer architecture, vector/matrix processing, performance evaluation, parallel algorithms, FPGA, SystemC implementation.