conference paper · ACM Great Lakes Symposium on VLSI (GLSVLSI) · 2002
Algorithm independent data flow mapping on a unified VLSI architecture
S. Mahalingham, Subramaniam Ganesan
Cited by 1Abstract and details only
Abstract
VLSI architectural unification at primitive hardware and interconnect structure level, is necessary, to cover the methodology of GPVLSI and SPVLSI systems synthesis. The concept of PACUBE array (Programmable Array of Array Adders) leads to this grand unification at macrocell level. The systolic and wavefront arrays have led to a major breakthrough in the design of supercomputing architectures. But the D-flow mapping on these arrays varies greatly depending on the algorithms to be executed, the majority of which are a combination of GIPOP equations. In this paper, both the unifying concept of the P-Arrays and the algorithm independent D-flow mapping on the P-Arrays is presented.>
Cite this paper
Mahalingham, S., & Ganesan, S. (2002). Algorithm independent data flow mapping on a unified VLSI architecture. ACM Great Lakes Symposium on VLSI (GLSVLSI), 70, 68–73. https://doi.org/10.1109/glsv.1991.143944
Mahalingham, S., and Subramaniam Ganesan. “Algorithm independent data flow mapping on a unified VLSI architecture.” ACM Great Lakes Symposium on VLSI (GLSVLSI), vol. 70, 2002, pp. 68–73, https://doi.org/10.1109/glsv.1991.143944.
Mahalingham, S., and Subramaniam Ganesan. 2002. “Algorithm independent data flow mapping on a unified VLSI architecture.” ACM Great Lakes Symposium on VLSI (GLSVLSI) 70: 68–73. https://doi.org/10.1109/glsv.1991.143944.
Mahalingham, S. and Ganesan, S. (2002) ‘Algorithm independent data flow mapping on a unified VLSI architecture’, ACM Great Lakes Symposium on VLSI (GLSVLSI), 70, pp. 68–73. Available at: https://doi.org/10.1109/glsv.1991.143944.
@article{mahalingham2002algorithm,
title = {{Algorithm independent data flow mapping on a unified VLSI architecture}},
author = {Mahalingham, S. and Ganesan, Subramaniam},
journal = {ACM Great Lakes Symposium on VLSI (GLSVLSI)},
volume = {70},
pages = {68--73},
year = {2002},
doi = {10.1109/glsv.1991.143944}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.