Input/Output Intensive Massively Parallel Computing [electronic resource] : Language Support, Automatic Parallelization, Advanced Optimization, and Runtime Systems / by Peter Brezany.
Material type: TextSeries: Lecture Notes in Computer Science ; 1220Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997Description: XV, 293 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540687016Subject(s): Computer science | Computer Communication Networks | Operating systems (Computers) | Numerical analysis | Computer Science | Programming Languages, Compilers, Interpreters | Programming Techniques | Numerical Analysis | Computer Communication Networks | Operating SystemsAdditional physical formats: Printed edition:: No titleDDC classification: 005.13 LOC classification: QA76.7-76.73QA76.76.C65Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK7061 |
Parallel programming models -- Vienna Fortran 90 and its extensions for parallel I/O -- Compiling in-core programs -- Compiling parallel I/O operations -- Compiling out-of-core programs -- Runtime system for parallel input-output -- A new generation programming environment for parallel architectures.
Massively parallel processing is currently the most promising answer to the quest for increased computer performance. This has resulted in the development of new programming languages and programming environments and has stimulated the design and production of massively parallel supercomputers. The efficiency of concurrent computation and input/output essentially depends on the proper utilization of specific architectural features of the underlying hardware. This book focuses on development of runtime systems supporting execution of parallel code and on supercompilers automatically parallelizing code written in a sequential language. Fortran has been chosen for the presentation of the material because of its dominant role in high-performance programming for scientific and engineering applications.
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