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Hardware/software co-design for data-driven Xputer-based accelerators

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2 Author(s)
R. W. Hartenstein ; Kaiserslautern Univ., Germany ; J. Becker

The paper presents the parallelizing programming environment CoDe-X introducing hardware/software co-design strategies on two levels of partitioning for data-driven Xputer-based accelerators. CoDe-X performs both, in the first level a profiling-driven host/accelerator partitioning for performance optimization, and in a second level a resource-driven sequential/structural partitioning of the accelerator source code to optimize the utilization of its reconfigurable resources. CoDe-X accepts a C dialect also including optional data-procedural language features, which can be included to achieve highest possible acceleration factors provided by the Xputer hardware

Published in:

VLSI Design, 1997. Proceedings., Tenth International Conference on

Date of Conference:

4-7 Jan 1997