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Reconfigurable Functional Units for Scientific Superscalar Processors

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3 Author(s)
Jonathon Evans ; Department of ECE, University of Wisconsin-Madison, Madison, WI 53703 USA. ; Kyle Rupnow ; Katherine Compton

As it becomes more difficult to increase single-threaded performance, focus on multi-core processor designs increases. However, individual core performance is still important, especially for long-executing applications such as in scientific computing. Based on scientific application needs as modeled by SPEC-FP and a set of applications from Sandia National Labs, we have created several different reconfigurable functional unit (RFU) designs for superscalar multi-processor supercomputers. This paper discusses the design process and evaluates the RFUs' ability to implement instruction dataflow graphs from scientific workloads. Our best-performing RFU design is able to implement 89% of the dataflow graphs in the benchmarks.

Published in:

Field-Programmable Technology, 2007. ICFPT 2007. International Conference on

Date of Conference:

12-14 Dec. 2007