@ARTICLE{26583204_44322998_2011, 
	author = {К. Gertsenberger and E. Chepin}, 
	keywords = {, analytical model, the prediction of performance, parallel algorithmic structure, parallel software, distributed computingparallel hardware architecture},
	title = {Analytical model for evaluating performance multiprocessing for a set of parallel algorithmic structure},
	journal = {},
	year = {2011},
	number = {4 (18)},
	pages = {24-30},
	url = {https://bijournal.hse.ru/en/2011--4 (18)/44322998.html},
	publisher = {},
	abstract = {The effectiveness of parallel processing depends on the type of algorithm parallelization and hardware architecture. It is important to estimate the projected effectiveness of parallelization of the problem for a particular hardware platform, took place at the earliest stage of development. For this purpose, are encouraged to develop an analytical model predictions of the future performance of hardware-software system. For each parallel algorithmic structures (parallel algorithm) of the submission of the main set is the conclusion the most important performance characteristics: acceleration factor, efficiency and scalability. The adequacy of the developed analytical model for predicting the efficacy of the treatment is confirmed in practice.},
	annote = {The effectiveness of parallel processing depends on the type of algorithm parallelization and hardware architecture. It is important to estimate the projected effectiveness of parallelization of the problem for a particular hardware platform, took place at the earliest stage of development. For this purpose, are encouraged to develop an analytical model predictions of the future performance of hardware-software system. For each parallel algorithmic structures (parallel algorithm) of the submission of the main set is the conclusion the most important performance characteristics: acceleration factor, efficiency and scalability. The adequacy of the developed analytical model for predicting the efficacy of the treatment is confirmed in practice.}
}