Restart: a straightforward method for fast simulation of rare events
WSC '94 Proceedings of the 26th conference on Winter simulation
Rare event simulation in stochastic models
WSC '95 Proceedings of the 27th conference on Winter simulation
An Emulation System of the WASMII: A Data Driven Computer on a Virtual Hardware
FPL '96 Proceedings of the 6th International Workshop on Field-Programmable Logic, Smart Applications, New Paradigms and Compilers
Access and Alignment of Data in an Array Processor
IEEE Transactions on Computers
A compiled accelerator for biological cell signaling simulations
FPGA '04 Proceedings of the 2004 ACM/SIGDA 12th international symposium on Field programmable gate arrays
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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.