Sleptsov Net Computing resolves problems of modern supercomputing revealed by Jack Dongarra in his Turing Award talk in November 2022

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Parallel Emergent and Distributed Systems Pub Date : 2023-04-19 DOI:10.1080/17445760.2023.2201002

D. Zaitsev

引用次数: 0

Abstract

In his Turing Award Lecture, Jack Dongarra revealed a drastic problem of modern HPC – low efficiency on real-life task mixture, 0.8% for the best supercomputer Frontier. Born in Ukraine paradigm of Sleptsov net computing resolves this problem with the computing memory hardware implementation of an entirely graphical language of concurrent programming supplied with framework of formal methods for verification of concurrent programs. GRAPHICAL ABSTRACT

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sleepsov Net Computing解决了Jack Dongarra在2022年11月的图灵奖演讲中揭示的现代超级计算问题

在他的图灵奖演讲中，Jack Dongarra揭示了现代HPC的一个严重问题——现实生活中的任务混合效率低，最佳超级计算机Frontier的效率为0.8%。Sleptsov网络计算在乌克兰诞生的范式通过计算内存硬件实现来解决这个问题，该语言是一种完全图形化的并发编程语言，并提供了用于验证并发程序的形式化方法的框架。图形摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Parallel Emergent and Distributed Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.30

自引率

0.00%

发文量