| Alternate document: Details GLU Programmer's Guide Version 1.0 (96) R. Jagannathan, Chris Dodd |
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Abstract: We describe a high-level system for granular data-parallel programming called GLU in which parallel applications are described as succinct implicitly parallel intensional compositions using sequential imperative functions. We show how different architecture-independent parallel programs can be generated from the high-level application description. We also show how GLU enables functional debugging of parallel applications without requiring their parallel execution. To illustrate the efficiency... (Update)
Context of citations to this paper: More
...a suitable coordination language for distributed applications. Their advantages that is easy to understand diagrams, natural parallelism [5] and fault tolerance [3] are the result of research being conducted in different areas such as programming languages [16] 2]...
.... have demonstrated that a task system (TS) can provide such an application with execution elements [168 E] CilkNOW ] DBC] DNA] Funnel] GLU] Internet Computing] Jade] Linda Piranha] Mentat] Nimrod] Packet Filter] RTU] SCHEDULE] SETI home] Spawn] SUMO] Supervisor...
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BibTeX entry: (Update)
R. Jagannathan, C. Dodd, and I. Agi. GLU: A high-level system for granular data-parallel programming. Concurrency: Practice and Experience, 1996. http://citeseer.ist.psu.edu/jagannathan96glu.html More
@article{ jagannathan97glu,
author = "R. Jagannathan and C. Dodd and I. Agi",
title = "{GLU}: {A} high-level system for granular data-parallel programming",
journal = "Concurrency: Prac\-tice and Experience",
volume = "9",
number = "1",
pages = "63--83",
year = "1997",
url = "citeseer.ist.psu.edu/jagannathan96glu.html" }
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