Input/Output Intensive Massively Parallel Computing [electronic resource] : Language Support, Automatic Parallelization, Advanced Optimization, and Runtime Systems /
Brezany, Peter.author.
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.
Bibliographic Level Mode of Issuance: Monograph
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.
Architecture, Computer.
Programming languages (Electronic computers).
Computer programming.
Numerical analysis.
Computer communication systems.
Operating systems (Computers).
Computer System Implementation.
Programming Languages, Compilers, Interpreters.
Programming Techniques.
Numerical Analysis.
Computer Communication Networks.
Operating Systems.