Hardware/Software Approach to Molecular Dynamics on Reconfigurable Computers

Authors:
Ronald Scrofano;Maya Gokhale;Frans Trouw;Viktor K. Prasanna
Affiliations:
University of Southern California, Los Angeles, CA;Los Alamos National Laboratory, Los Alamos, NM;Los Alamos National Laboratory, Los Alamos, NM;University of Southern California, Los Angeles, CA
Venue:
FCCM '06 Proceedings of the 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Year:
2006

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Abstract

With advances in reconfigurable hardware, especially field-programmable gate arrays (FPGAs), it has become possible to use reconfigurable hardware to accelerate complex applications, such as those in scientific computing. There has been a resulting development of reconfigurable computers-computers which have both general purpose processors and reconfigurable hardware, as well as memory and high-performance interconnection networks. In this paper, we study the acceleration of molecular dynamics simulations using reconfigurable computers. We describe how we partition the application between software and hardware and then model the performance of several alternatives for the task mapped to hardware. We describe an implementation of one of these alternatives on a reconfigurable computer and demonstrate that for two real-world simulations, it achieves a 2 speed-up over the software baseline. We then compare our design and results to those of prior efforts and explain the advantages of the hardware/ software approach, including flexibility.