This paper reports NAS Parallel Benchmark results on parallel machine ADENART, which has been developed through collaboration between Kyoto University and Matsushita Electric Industrial Co.[KKT]. The results show that ADENART has comparable or two/three times power of Y-MP/1, though it is very compact as a deskside machine and consumes only about several KWhs of electric power. 1 Introduction Parallel machine ADENART had been developed until 1990, through collaboration between Kyoto University and Matsushita Electric Industrial Co.. Its original idea was already proposed by the first author in the beginning of 1980's under the academic name ADENA(changed from previous ADINA). A dozen of systems had been produced to support CAD researc...
With the rapid development of big data technologies, how to dig out useful information from massive ...
The availability of parallel processing hardware and software presents an opportunity and a challeng...
Paper presented at the Conference on the Science of Neural Networks in Orlando (US), April 1992Avail...
The NAS Parallel Benchmarks have been developed at NASA Ames Research Center to study the performanc...
The NAS Parallel Benchmarks (NPB) are a suite of parallel computer performance benchmarks. They were...
Parallel computer technology has been mainly researched focusing on high performance computation of ...
Recently, researchers at NASA Ames have defined a set of computational benchmarks designed to measur...
This project is a study of advance computer architecture, specifically parallel processing architect...
This paper discusses the development of a portable suite of benchmarking programs for parallel comp...
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to imple...
In November 1984 three research groups at the universities of Amsterdam, Nijmegen and Utrecht starte...
A new set of benchmarks was developed for the performance evaluation of highly parallel supercompute...
Measuring and reporting performance of parallel computers con-stitutes the basis for scientific adva...
This paper presents inexpensive ways to implement parallel computing which will make tremendous impa...
This work deals with the performance evaluation of an MIMD distributed shared-memory parallel comput...
With the rapid development of big data technologies, how to dig out useful information from massive ...
The availability of parallel processing hardware and software presents an opportunity and a challeng...
Paper presented at the Conference on the Science of Neural Networks in Orlando (US), April 1992Avail...
The NAS Parallel Benchmarks have been developed at NASA Ames Research Center to study the performanc...
The NAS Parallel Benchmarks (NPB) are a suite of parallel computer performance benchmarks. They were...
Parallel computer technology has been mainly researched focusing on high performance computation of ...
Recently, researchers at NASA Ames have defined a set of computational benchmarks designed to measur...
This project is a study of advance computer architecture, specifically parallel processing architect...
This paper discusses the development of a portable suite of benchmarking programs for parallel comp...
It seems to be an everlasting discussion. Spending a lot of additional time and extra money to imple...
In November 1984 three research groups at the universities of Amsterdam, Nijmegen and Utrecht starte...
A new set of benchmarks was developed for the performance evaluation of highly parallel supercompute...
Measuring and reporting performance of parallel computers con-stitutes the basis for scientific adva...
This paper presents inexpensive ways to implement parallel computing which will make tremendous impa...
This work deals with the performance evaluation of an MIMD distributed shared-memory parallel comput...
With the rapid development of big data technologies, how to dig out useful information from massive ...
The availability of parallel processing hardware and software presents an opportunity and a challeng...
Paper presented at the Conference on the Science of Neural Networks in Orlando (US), April 1992Avail...