Performance characteristics of the Monte-Carlo clustering processor (MCCP) - a field programmable logic based custom computing machine
A special purpose processor originally designed for Monte-Carlo simulation using Metropolis type algorithms has been reconfigured to allow the use of a new improved class of Monte-Carlo algorithm without compromising the processor's performance.
Unable to display preview. Download preview PDF.
- 1.S. Monaghan, T. O'Brien, and P. Noakes. FPGAs, page 363. Abingdon CS Books, 1991. Edited by W. Moore and W. Luk.Google Scholar
- 2.S. Monaghan. Gate level reconfigurable Monte Carlo processor. JVSP, 6:139–153, 1993.Google Scholar
- 3.Xilinx. The Programmable Gate Array Data Book, 1991.Google Scholar
- 4.K. Binder, editor. Applications of the Monte-Carlo Methods in Statistical Physics. Springer-Verlag, 1984.Google Scholar
- 5.S. Monaghan and C.P. Cowen. Multi-bit reconfigurable processor for DSP applications in Statistical Physics. Proc. FPGAs for Custom Computing Machines FCCM'93, 1993. sponsored by IEEE Computer Society.Google Scholar
- 6.Robert H. Swendsen and Jian-Sheng Wang. Nonuniversal Critical Dynamics in Monte Carlo Simulations. Physical Review Letters, 58(2), January 1987.Google Scholar
- 7.C.P. Cowen and S. Monaghan. A Reconfigurable Monte-Carlo Clustering Processor (MCCP). Proc. FPGAs for Custom Computing Machines FCCM'94, 1994. sponsored by IEEE Computer Society.Google Scholar
- 8.Analog Devices. ADSP-2101 Data Sheet, 1990.Google Scholar