Programming shared virtual memory multiprocessors

Highly parallel machines needed to solve compute intensive scientific applications are based on the distribution of physical memory across the compute nodes. The drawback of such systems is the difficult message passing programming model. Therefore, a lot of research in simplifying the programming m...

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Bibliographic Details
Published in:Parallel and Distributed Processing, 4th Euromicro Workshop on (PDP '96 pp. 2 - 9
Main Author: Gerndt, M.
Format: Conference Proceeding
Language:English
Published: IEEE Comput. Soc 1996
Subjects:
Bandwidth
Computer languages
Concurrent computing
Data structures
Distributed computing
Message passing
Parallel machines
Parallel processing
Parallel programming
Physics computing
ISBN:9780818673764, 0818673761
Online Access:Get full text
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Summary:Highly parallel machines needed to solve compute intensive scientific applications are based on the distribution of physical memory across the compute nodes. The drawback of such systems is the difficult message passing programming model. Therefore, a lot of research in simplifying the programming model is going on. This article investigates the combination of a task parallel programming model implemented on top of a shared virtual address space provided by the operating system of the parallel machine.
ISBN:9780818673764
0818673761
DOI:10.1109/EMPDP.1996.500561