Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators

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Tenth International Conference on VLSI Design: VLSI in Multimedia Applications

Hyderabad, India

January 04-January 07

ISBN: 0-8186-7755-4

	ASCII Text	x
	R. Hartenstein, J. Becker, "Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators," VLSI Design, International Conference on, pp. 146, Tenth International Conference on VLSI Design: VLSI in Multimedia Applications, 1997.

	BibTex	x
	@article{ 10.1109/ICVD.1997.568067, author = {R. Hartenstein and J. Becker}, title = {Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators}, journal ={VLSI Design, International Conference on}, volume = {0}, year = {1997}, issn = {1063-9667}, pages = {146}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICVD.1997.568067}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - VLSI Design, International Conference on TI - Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators SN - 1063-9667 SP EP A1 - R. Hartenstein, A1 - J. Becker, PY - 1997 KW - parallel programming KW - hardware/software co-design KW - data-driven Xputer-based accelerators KW - parallelizing programming environment KW - CoDe-X KW - partitioning KW - performance optimization KW - profiling-driven host/accelerator partitioning KW - resource-driven sequential/structural partitioning KW - accelerator source code KW - reconfigurable resources KW - C dialect KW - data-procedural language features VL - 0 JA - VLSI Design, International Conference on ER -

R. Hartenstein, Kaiserslautern Univ., Germany

J. Becker, Kaiserslautern Univ., Germany

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICVD.1997.568067

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.

Index Terms:

parallel programming, hardware/software co-design, data-driven Xputer-based accelerators, parallelizing programming environment, CoDe-X, partitioning, performance optimization, profiling-driven host/accelerator partitioning, resource-driven sequential/structural partitioning, accelerator source code, reconfigurable resources, C dialect, data-procedural language features

Citation:

R. Hartenstein, J. Becker, "Hardware/Software Co-Design for Data-Driven Xputer-based Accelerators," vlsid, pp.146, Tenth International Conference on VLSI Design: VLSI in Multimedia Applications, 1997

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