| Research Abstract |
The advent of massively parallel computers requires new programming paradigms. As a parallel object-oriented language allows the user to describe various styles of parallel operations flexibly, it is recognized as one of the most promising solutions for describing highly parallel and distributed programs. However, the high-level language structure requires new techniques for the high-performance implementation.
This research proposes compile-time and run-time optimization techniques, including type inference, for a parallel object-oriented language, called A-NETL.They have been implemented on various platforms, such as clusters of workstations/personal computers, a commercially available parallel machine, Fujitsu AP1000, and the A-NETL oriented parallel machine, called the A-NET multicomputer.
Experimental results show that the high-level language facilities have been implemented efficiently, utilizing the proposed optimizattion techniques.
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