GLAF: A Visual Programming and Auto-tuning Framework for Parallel Computing

The past decade's computing revolution has delivered parallel hardware to the masses. However, the ability to exploit its capabilities and ignite scientific breakthrough at a proportionate level remains a challenge due to the lack of parallel programming expertise. Although different solutions...

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Bibliographic Details
Published in:	Proceedings of the International Conference on Parallel Processing pp. 859 - 868
Main Authors:	Krommydas, Konstantinos, Sasanka, Ruchira, Wu-Chun Feng
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.09.2015
Subjects:	auto-parallelization auto-tuning framework code generation Computation Conferences Data structures FORTRAN Graphical user interfaces Hardware Indexes Layout Parallel processing Programmers Programming programming environment Visual Visualization
ISSN:	0190-3918
Online Access:	Get full text
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