Parallel Supercomputing in MIMD Architectures
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computational science applications
Computer Vision Applications
Data Flow Analysis
distributed memory systems
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Execution Time
Finite Difference Method
heterogeneous computing
Heterogeneous Supercomputers
high performance MIMD systems
MIMD Architecture
MIMD Computer
Node Processor
parallel algorithms
Parallel Overhead
parallel programming techniques
Peripheral Device
Processing Nodes
processor scalability
R. Michael Hord
Scsi Interface
Set Associative Caches
Shared Memory Multiprocessing
Task T2
Tuple Space
Vice Versa
Virtual Processors
VME
VME Bus
Warp Machine
Wide Area Computer Networks
Product details
- ISBN 9781315896236
- Weight: 940g
- Dimensions: 156 x 234mm
- Publication Date: 08 Dec 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Parallel Supercomputing in MIMD Architectures is devoted to supercomputing on a wide variety of Multiple-Instruction-Multiple-Data (MIMD)-class parallel machines. This book describes architectural concepts, commercial and research hardware implementations, major programming concepts, algorithmic methods, representative applications, and benefits and drawbacks. Commercial machines described include Connection Machine 5, NCUBE, Butterfly, Meiko, Intel iPSC, iPSC/2 and iWarp, DSP3, Multimax, Sequent, and Teradata. Research machines covered include the J-Machine, PAX, Concert, and ASP. Operating systems, languages, translating sequential programs to parallel, and semiautomatic parallelizing are aspects of MIMD software addressed in Parallel Supercomputing in MIMD Architectures. MIMD issues such as scalability, partitioning, processor utilization, and heterogenous networks are discussed as well.This book is packed with important information and richly illustrated with diagrams and tables, Parallel Supercomputing in MIMD Architectures is an essential reference for computer professionals, program managers, applications system designers, scientists, engineers, and students in the computer sciences.
