Spatiotemporal partitioning of computational structures onto configurable computing machines

Rhett D. Hudson; David I. Lehn; Jason Hess; James D. Atwell; David Moye; Ken Shiring; Peter M. Athanas

doi:10.1117/12.327019

8 October 1998 Spatiotemporal partitioning of computational structures onto configurable computing machines

Rhett D. Hudson, David I. Lehn, Jason Hess, James D. Atwell, David Moye, Ken Shiring, Peter M. Athanas

Proceedings Volume 3526, Configurable Computing: Technology and Applications; (1998) https://doi.org/10.1117/12.327019
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

A complete computing system supports a design path from problem description to implementation. The term configurable computing refers to complete computing systems that support the development of applications for configurable computing machines. Configurable computing systems generally include a microprocessor-based host, a configurable processing array and the tools necessary for capturing the problem and mapping it into software for the host and configurations for the hardware. This work proposes a framework for a set of platform independent configurable computing tools. The proposed tools temporally partition large designs, described in a textual language, into stages that can be mapped onto the computing array. The temporal partitions are spatially partitioned to support multiple FPGA arrays. These results are then given to platform specific backends that convert the tool's description of the design into functional FPGA configurations, hardware controllers and host-based control code.

Citation Download Citation

Rhett D. Hudson, David I. Lehn, Jason Hess, James D. Atwell, David Moye, Ken Shiring, and Peter M. Athanas "Spatiotemporal partitioning of computational structures onto configurable computing machines", Proc. SPIE 3526, Configurable Computing: Technology and Applications, (8 October 1998); https://doi.org/10.1117/12.327019

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