PROGRAM SYSTEMS: THEORY AND APPLICATIONS

12+

 

Online Scientific Journal published by the Ailamazyan Program Systems Institute of the Russian Academy of Sciences

Methods for Optimal Control and Control Theory
Mathematical Foundations of Programming
Healthcare Information Systems
Artificial Intelligence, Intelligence Systems, Neural Networks
Software and Hardware for Distributed Systems and Supercomputers

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• Содержание выпуска •
• Methods for Optimal Control and Control Theory •
• Mathematical Foundations of Programming •
• Healthcare Information Systems •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Software and Hardware for Distributed Systems and Supercomputers •

Software and Hardware for Distributed Systems and Supercomputers

Responsible for the Section: Sergei Abramov, Dr. Phys.-Math.Sci., corresponding member of RAS

On the left: assigned number of the paper, submission date, the number of A5 pages contained in the paper, and the reference to the full-text PDF .

 

Article # 25_2019

17 с.

PDF

submitted on 19th Nov 2019 displayed on website on 26th Dec 2019

Nikolay I. Dikarev, Boris M. Shabanov, Aleksandr S. Shmelev
Fine-grained parallelism and higher core performance: advantages of vector dataflow processor

Currently, the reserves in increasing the performance of modern processors are almost exhausted. The stagnation is evidenced by the absence of growth, both the clock frequency and the number of instructions executed per clock, which determine the scalar performance of the processor core. In vector dataflow processor under development, processor core performance looks increased up to 256 flops per clock, which is eight times higher than the latest Intel Xeon processors due to a higher fraction of vector execution. We show that that vector dataflow processor has a higher ratio of real performance to peak on programs such as bitonic sorting, matrix multiplication, and 2D Stencil compared to the best traditional architecture processors. (In Russian).

Key words: vector processor, dataflow architecture, shared-memory multiprocessor, performance evaluation.

article citation

http://psta.psiras.ru/read/psta2017_4_201-217.pdf

DOI

https://doi.org/10.25209/2079-3316-2019-10-4-201-217

 

• Содержание выпуска •
• Methods for Optimal Control and Control Theory •
• Mathematical Foundations of Programming •
• Healthcare Information Systems •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Software and Hardware for Distributed Systems and Supercomputers •

 

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