AbstractThe paper deals with the performance analysis of three Monte Carlo algorithms for some models of computer architectures. To estimate the performance and the speedup of these algorithms, we introduce a special modification of the criterion for the time required to achieve a preset probable error and consider a serial (von Neumann) architecture, a pipeline architecture, and two MIMD (Multiple Instruction stream, Multiple Data stream) parallel architectures. An approach to constructing Monte Carlo vector algorithms to be efficiently run on pipeline computers has also been considered
The conventional particle transport Monte Carlo algorithm is ill suited for modem vector supercomput...
We introduce the notion of expected hitting time to a goal as a measure of the con- vergence rate o...
We show that the latest version of massively parallel processing associative string processing archi...
AbstractThe paper deals with the performance analysis of three Monte Carlo algorithms for some model...
Abstract. We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “p...
We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “parallel Mo...
The work considers the multiprocessors technologies of modeling for Monte Carlo tasks. It is shown t...
The best results of Monte Carlo methods are generally obtained by performing the same computation ma...
Emerging many-core computer architectures provide an incentive for computational methods to exhibit ...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
AbstractA new parallel algorithm for the solution of linear systems, based upon the Monte Carlo appr...
The increasing availability of multi-core and multiprocessor architectures provides new opportunitie...
AbstractWe introduce the notion of expected hitting time to a goal as a measure of the convergence r...
This thesis is composed of two parts. The first part focuses on Sequential Monte Carlo samplers, a f...
MSC Subject Classification: 65C05, 65U05.Monte Carlo methods are a powerful tool in many fields of m...
The conventional particle transport Monte Carlo algorithm is ill suited for modem vector supercomput...
We introduce the notion of expected hitting time to a goal as a measure of the con- vergence rate o...
We show that the latest version of massively parallel processing associative string processing archi...
AbstractThe paper deals with the performance analysis of three Monte Carlo algorithms for some model...
Abstract. We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “p...
We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “parallel Mo...
The work considers the multiprocessors technologies of modeling for Monte Carlo tasks. It is shown t...
The best results of Monte Carlo methods are generally obtained by performing the same computation ma...
Emerging many-core computer architectures provide an incentive for computational methods to exhibit ...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
AbstractA new parallel algorithm for the solution of linear systems, based upon the Monte Carlo appr...
The increasing availability of multi-core and multiprocessor architectures provides new opportunitie...
AbstractWe introduce the notion of expected hitting time to a goal as a measure of the convergence r...
This thesis is composed of two parts. The first part focuses on Sequential Monte Carlo samplers, a f...
MSC Subject Classification: 65C05, 65U05.Monte Carlo methods are a powerful tool in many fields of m...
The conventional particle transport Monte Carlo algorithm is ill suited for modem vector supercomput...
We introduce the notion of expected hitting time to a goal as a measure of the con- vergence rate o...
We show that the latest version of massively parallel processing associative string processing archi...