A reconfigurable Monte-Carlo clustering processor (MCCP)

Author

Cowen, C.P. ; Monaghan, S.

Author_Institution

Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK

fYear

1994

fDate

10-13 Apr 1994

Firstpage

59

Lastpage

65

Abstract

A generic Monte Carlo problem architecture, implemented earlier in a dedicated FPGA computer (Monaghan, O´Brien and Noakes, 1991; Monaghan, 1993; Monaghan and Cowen, 1993), is extended to incorporate a wider range of more complex Monte Carlo and percolation problems. The new algorithms, which are implemented in the same computer architecture, execute an order of magnitude faster than on comparable DSP hardware, as with the earlier and simpler algorithms

Keywords

Monte Carlo methods; logic arrays; percolation; physics computing; reconfigurable architectures; special purpose computers; statistical analysis; DSP hardware; computer architecture; dedicated FPGA computer; generic Monte Carlo problem architecture; percolation problems; reconfigurable Monte Carlo clustering processor; Clustering algorithms; Computational modeling; Computer architecture; Field programmable gate arrays; Hardware; Microscopy; Monte Carlo methods; Physics; Systems engineering and theory; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

FPGAs for Custom Computing Machines, 1994. Proceedings. IEEE Workshop on

Conference_Location

Napa Valley, CA

Print_ISBN

0-8186-5490-2

Type

conf

DOI

10.1109/FPGA.1994.315600

Filename

315600