SPAA '92 Proceedings of the fourth annual ACM symposium on Parallel algorithms and architectures
Recent advances in uniform random number generation
WSC '94 Proceedings of the 26th conference on Winter simulation
Restart: a straightforward method for fast simulation of rare events
WSC '94 Proceedings of the 26th conference on Winter simulation
A performance evaluation of the multiprocessor testbed ATTEMPT-0
Parallel Computing
Rare event simulation in stochastic models
WSC '95 Proceedings of the 27th conference on Winter simulation
Custom Computing Machines vs. Hardware/Software Codesign: From a globalized point of view
FPL '96 Proceedings of the 6th International Workshop on Field-Programmable Logic, Smart Applications, New Paradigms and Compilers
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
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Markov chain and queueing model are convenient tools with which to analyze parallel systems for architects. For a high speed execution and easy modeling, a reconfigurable Markov chain/queueing 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/queueing model simulator. Then, the simulator is implemented on the FPGA devices of the reconfigurable system, and directly executed. From the evaluation with analysis of example parallel systems, it appears that the analysis speed of the proposed system is much greater than that of common workstations.