FPGA-based Streaming Computation for Lattice Boltzmann Method

This paper presents an FPGA-based streaming computation for the lattice Boltzmann method (LBM) to simulate fluid flow with floating-point calculations. LBM is suitable for streaming computation because of its parallelism and regularity. We optimize the equations of LBM, and then formulate a streamin...

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Bibliographic Details
Main Authors: Sano, K., Pell, O., Luk, W., Yamamoto, S.
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Concurrent computing
Equations
Field programmable gate arrays
Fluid flow
Hardware
Lattice Boltzmann methods
Parallel processing
Resource management
Throughput
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Summary:This paper presents an FPGA-based streaming computation for the lattice Boltzmann method (LBM) to simulate fluid flow with floating-point calculations. LBM is suitable for streaming computation because of its parallelism and regularity. We optimize the equations of LBM, and then formulate a streaming computation. To design an efficient data-path for throughput and hardware resource utilization, we introduce multiple cycle inputs and computing-unit sharing to the streaming data-path. The streaming accelerator implemented on a Virtex-4 FPGA with PCTExpress x8 interface achieves 2.93 and 2.46 times faster computation than a 3.4 GHz Pentium4 processor and a 2.2 GHz Opteron processor, respectively, for 2-dimensional time-dependent fluid dynamics problems.
DOI:10.1109/FPT.2007.4439254