Parallel supercomputing in MIMD architectures

Description

MIMD supercomputers, software, and issues Parallel Supercomputing in MIMD Architectures is devoted to supercomputing on a wide variety of Multiple-Instruction-Multiple-Data (MIMD)-class parallel machines. The 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. 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 Content: Introduction BACKGROUND Supercomputing MIMD vs. SIMD MIMD Concepts MIMD COMPUTERS COMMERCIAL MACHINES Thinking Machines Corporation CM-5 NCUBE IWarp iPSC and iPSC/2 The ParagonO XP/S System Encore Multimax AT&T DSP-3 The Meiko Computing Surface BB&N Butterfly Sequent Teradata RESEARCH MACHINES J-Machine: A Fine-Grain Concurrent Computer PAX Concert Computer Vision Applications with the Associative String Processor MIMD SOFTWARE Operating Systems: Trollius Apply: A Programming Language for Low-level Vision on Diverse Parallel Architectures Translating Sequential Programs to Parallel: Linda PTOOL: A Semiautomatic Parallel Programming Assistant MIMD ISSUES A Scalability Analysis of the Butterfly Multiprocessor Mathematical Model Partitioning and Packing for Parallel Computer Calculation Increasing Processor Utilization during Parallel Computation Rundown Solving Computational Grand Challenges Using a Network of Heterogeneous Supercomputers List of Sources