Metropolitan Road Traffic Simulation on FPGAs

  • Authors:
  • Justin L. Tripp;Henning S. Mortveit;Anders A. Hansson;Maya Gokhale

  • Affiliations:
  • Los Alamos National Laboratory;Los Alamos National Laboratory;Los Alamos National Laboratory;Los Alamos National Laboratory

  • Venue:
  • FCCM '05 Proceedings of the 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

This work demonstrates that road traffic simulation of entire metropolitan areas is possible with reconfigurable supercomputing that combines 64-bit microprocessors and FPGAs in a high bandwidth, low latency interconnect. Previously, traffic simulation on FPGAs was limited to very short road segments or required a very large number of FPGAs. Our data streaming approach overcomes scaling issues associated with direct implementations and still allows for high-level parallelism by dividing the data sets between hardware and software across the reconfigurable supercomputer. Using one FPGA on the Cray XD1 supercomputer, we are able to achieve a 34.4脳 speed up over the AMD microprocessor. System integration issues must be optimized to exploit this speedup in the overall simulation.