CiNii 図書 - Highly parallel computing

Revised to provide more coverage of current parallel programming environments and the latest software, this book includes Fortran 90 (-D and -clustered), Express, PVM, Linda and Occam. The book includes treatment of the issues involved in choosing a language for parallelism and developing parallel computational modes. The book discusses the issues around choosing and designing compilers and operating systems for large-scale parallel computers, including a section on parallelism in LAN-connected workstations. It describes applications from both numerical and symbolic processing, including atmospheric modelling for weather prediction, particle calculations, computer-aided design, seismic imaging, database systems and artificial intelligence approaches. The book concludes with three chapters discussing the design trade-offs between SIMD architectures, MIMD architectures and Hybrid architectures. The text includes descriptions of the latest parallel machines from Intel, Thinking Machines, Maspur and Kendall Square Research alongside updates from Ncube and Alliant. It offers extensive coverage of new architectural ideas such as directory-based cache coherence (as exemplified by the DASH and Alewife research prototypes) UMA/NUMA/COMA memory organizations, fat trees (as exemplified by CM-5) and de-populated 3D touruses (as exemplified by the Tera design). It also adds coverage of the latest technologies, including RISC chips, fibre optics, GaAs and BiCMOS and software such as GFortran 90, Express and Linda.

Part 1 Foundations: overview - overview and scope of this book, definition and driving forces, questions raised, emerging answers, previous attempts
why success now?, conclusions and future directions
sample applications - scientific and engineering applications, database systems, artificial intelligence systems, summary
technological constraints and opportunities - processor and network technology, memory technology, storage technology
computational models and selected algorithms - computational models an operational view, computational models - an analytical view, selected parallel algorithms. Part 2 Parallel software: languages and programming environments - review of the major serial languages, parallel imperative languages and extensions, declarative languages, the programmer's view
compilers, other translators - serial compiler essentials, parallelizing compiler essentials, summary and perspective
operating systems - operating systems for serial machines, controlling concurrency, classifying operating systems for parallel computers, history of parallel operating systems. Part 3 Parallel architectures: interconnection networks - static connection topologies, dynamic connection topologies
SIMD parallel architectures - evolution from von Neumann machines, vector processors, pipelined SIMD vector processors, parallel SIMD designs
MIMD parallel architectures - stepping up to MIMD, private memory (message-passing), MIMD designs, shared memory MIMD designs
hybrid parallel architectures - VLIW architectures, MSIMD tree machines, MSIMD reconfigurable designs.

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Highly parallel computing

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