Supporting Scientists in Re-engineering Sequential Programs to Parallel Using Model-Driven Engineering

Developing complex computational-intensive and data-intensive scientific applications requires effective utilization of the computational power of the available computing platforms including grids, clouds, clusters, multi-core and many-core processors, and graphical processing units (GPUs). However,...

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Veröffentlicht in:	2015 IEEE/ACM 1st International Workshop on Software Engineering for High Performance Computing in Science S. 1 - 8
Hauptverfasser:	Almorsy, Mohamed, Grundy, John
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2015
Schlagworte:	Computational modeling Data models Data structures Domain-specific Visual Languages Graphics processing units High-Performance Computing Instruction sets Kernel Model-driven Engineering Parallel programming
Online-Zugang:	Volltext
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