Analytical study of the 'master-worker' framework scalability on multiprocessors with distributed memory

Autor:	Sokolinsky, L. B.
Jazyk:	ruština
Rok vydání:	2017
Předmět:	Computer Science - Distributed Parallel and Cluster Computing
Druh dokumentu:	Working Paper
DOI:	10.14529/cmse180203
Popis:	The paper is devoted to an analytical study of the "master-worker" framework scalability on multiprocessors with distributed memory. A new model of parallel computations called BSF is proposed. The BSF model is based on BSP and SPMD models. The scope of BSF model is the compute-intensive applications. The architecture of BSF-computer is defined. The structure of BSF-program is described. The Using this metric, the upper scalability bounds of BSF programs on distributed memory multiprocessors are evaluated. The formulas for estimating the parallel efficiency of BSF programs also proposed. Comment: Submitted to "Parallel computational technologies 2018" (in Russian)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1704.05816 Zobrazit plný text záznamu View this record from Arxiv