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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Bibliographic Details

Published in:	2015 IEEE/ACM 1st International Workshop on Software Engineering for High Performance Computing in Science pp. 1 - 8
Main Authors:	Almorsy, Mohamed, Grundy, John
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2015
Subjects:	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 Access:	Get full text
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