Programming Languages For Parallel Processing


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Programming Languages for Parallel Processing


Programming Languages for Parallel Processing

Author: David B. Skillicorn

language: en

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

Release Date: 1995


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Mathematics of Computing -- Parallelism.

Languages and Compilers for Parallel Computing


Languages and Compilers for Parallel Computing

Author: Keshav Pingali

language: en

Publisher: Springer Science & Business Media

Release Date: 1995-01-26


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This volume presents revised versions of the 32 papers accepted for the Seventh Annual Workshop on Languages and Compilers for Parallel Computing, held in Ithaca, NY in August 1994. The 32 papers presented report on the leading research activities in languages and compilers for parallel computing and thus reflect the state of the art in the field. The volume is organized in sections on fine-grain parallelism, align- ment and distribution, postlinear loop transformation, parallel structures, program analysis, computer communication, automatic parallelization, languages for parallelism, scheduling and program optimization, and program evaluation.

Parallel Computing for Real-time Signal Processing and Control


Parallel Computing for Real-time Signal Processing and Control

Author: M. Osman Tokhi

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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Although the computing demands of real-time signal processing and control applications are increasing rapidly, parallel processors permit several instructions to be dealt with simultaneously so that the "real-time" needed is manageable. This book introduces the advantages of this strategy and details how to use parallel processing to deal with common signal processing and control algorithms. It emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures, while demonstrating how to identify processor capabilities and how to exploit them to the fullest. The text includes examples and end-of-chapter exercises to facilitate self- and group study and case studies to put theoretical concepts into a practical context. For advanced students in parallel computing, control and signal processing disciplines, it is an invaluable tool in learning to get the most from their computer systems.