Algorithm Analysis and Mapping Environment for Adaptive Computing Systems
Cory S. Myers, Eric Pauer, Ken L. Smith, Paul Fiore Sanders, A Lockheed, Hpec · 1998
Our team is developing an integrated algorithm analysis and mapping environment for migrating a dataflow representation of a signal processing algorithm into an Adaptive Computing System (ACS) consisting of field programmable gate arrays (FPGAs). This environment allows designers to transform signal processing algorithms into FPGA-based hardware faster, by an order of magnitude, than is currently possible. Our approach has been to focus on three areas of capability critical to the success of adaptive computing: algorithm analysis, algorithm mapping, and smart generators. These capabilities are taking advantage of the special characteristics of signal processing algorithms to reduce the time to field the ACS, and are being implemented as extensions to the Ptolemy design environment developed at the University of California, Berkeley.