Title :
A reconfigurable Monte-Carlo clustering processor (MCCP)
Author :
Cowen, C.P. ; Monaghan, S.
Author_Institution :
Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK
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;
Conference_Titel :
FPGAs for Custom Computing Machines, 1994. Proceedings. IEEE Workshop on
Conference_Location :
Napa Valley, CA
Print_ISBN :
0-8186-5490-2
DOI :
10.1109/FPGA.1994.315600
