Markov chain and queuing model are convenient tools with which to analyze parallel systems for architects. For a high-speed simulation and easy modeling, a reconfigurable Markov chain/queuing model simulation system called RSMS (Reconfigurable Stochastic Model Simulator) is proposed. A user describes the target system in a dedicated description language called Taico. The description is automatically translated into the HDL description of the Markov chain/queuing model simulator. Then, the simulator is implemented on the FPGA devices of the reconfigurable system, and directly executed. Evaluation results with example parallel systems demonstrate that the performance of the proposed system is much superior to that of a common workstation.
Citation:
O. Yamamoto, Yuichiro Shibata, Hitoshi Kurosawa, Hideharu Amano, "A Reconfigurable Stochastic Model Simulator for Analysis of Parallel Systems," fccm, pp.291, 2000 IEEE Symposium on Field-Programmable Custom Computing Machines, 2000