PROCESSING AND STORAGE
MATHEMATICAL MODELLING AND DATA ANALYSIS
NONLINEAR CONTROL SYSTEMS
PATTERN RECOGNITION
INTELLIGENT SYSTEMS
COMPUTING SYSTEMS AND NETWORKS
P.B. Bogdanov, O.J. Sudareva The KOMDIV microprocessors performance on a number of typical computational problems
АPPLICATION
P.B. Bogdanov, O.J. Sudareva The KOMDIV microprocessors performance on a number of typical computational problems

Abstract.

In this paper we consider Russian microprocessors of the KOMDIV series devised by the ISR RAS: KOMDIV128-RIO and KOMDIV128-M. For three computational algorithms: Fast Fourier Transform (FFT), geometric multigrid method (MG) and sparse matrix-vector multiplication (SpMV) – we provide the results of performance testing on these microprocessors compared to several products of Intel, Texas Instruments and MCST companies. We draw conclusions about the applicability of KOMDIV microprocessors for general-purpose computing.

Keywords:

KOMDIV, Elbrus, signal processing, FFT, NAS Parallel Benchmarks, MG, SpMV

PP. 104-111.

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