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High Performance Virtual Machines

Authors: Andrew A. Chien;

High Performance Virtual Machines

Abstract

Abstract : The primary goal of the High Performance Virtual Machines (HPVM) project was to reduce the effort required to build a high performance cluster and distributed applications by leveraging the investments and understanding of scalable parallel systems. The approach to reducing the programming effort required to build high performance distributed applications was to insulate the program with a uniform, portable abstraction - a High Performance Virtual Machine - with predictable, high performance characteristics. Success was achieved by delivering a large fraction of the underlying hardware performance, visualizing resources to provide portability and reduce the application building effort and delivering predictable, high performance computing. HPVM has produced several major software releases involving high performance communication libraries, complete cluster software systems, and improved versions of those systems on a variety of hardware and software platforms. These systems have been downloaded and deployed at top research universities, major computer companies and national research laboratories. Clusters of commodity systems connected by high-speed networks are an important computing element and serve as an important model for future computing environments. Technologies which effectively exploit distributed computational resources can tap this "cluster pool" to deliver high performance computing, dramatically increasing the computational power available for both high performance computing and high performance distributed applications.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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