A Pipelined and Parallel Architecture for Quantum Monte Carlo Simulations on FPGAs

Recent advances in Field-Programmable Gate Array (FPGA) technology make reconfigurable computing using FPGAs an attractive platform for accelerating scientific applications. We develop a deeply pipelined and parallel architecture for Quantum Monte Carlo simulations using FPGAs. Quantum Monte Carlo s...

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Bibliographic Details
Published in:VLSI Design 2010-01, Vol.2010 (2010), p.206-213
Main Authors: Gothandaraman, Akila, Peterson, Gregory D., Warren, G. Lee, Hinde, Robert J., Harrison, Robert J.
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Architecture
Atoms & subatomic particles
Computer science
Software
Studies
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Summary:Recent advances in Field-Programmable Gate Array (FPGA) technology make reconfigurable computing using FPGAs an attractive platform for accelerating scientific applications. We develop a deeply pipelined and parallel architecture for Quantum Monte Carlo simulations using FPGAs. Quantum Monte Carlo simulations enable us to obtain the structural and energetic properties of atomic clusters. We experiment with different pipeline structures for each component of the design and develop a deeply pipelined architecture that provides the best performance in terms of achievable clock rate, while at the same time has a modest use of the FPGA resources. We discuss the details of the pipelined and generic architecture that is used to obtain the potential energy and wave function of a cluster of atoms.
ISSN:1065-514X
1563-5171
DOI:10.1155/2010/946486