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Michael J. Alexander

Researcher at University of Virginia

Publications -  9
Citations -  489

Michael J. Alexander is an academic researcher from University of Virginia. The author has contributed to research in topics: Routing (electronic design automation) & Router. The author has an hindex of 7, co-authored 9 publications receiving 488 citations. Previous affiliations of Michael J. Alexander include Washington State University.

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Proceedings ArticleDOI

Performance-oriented placement and routing for field-programmable gate arrays

TL;DR: A performance-oriented placement and routing tool for field-programmable gate arrays using recursive geometric partitioning for simultaneous placement and global routing, and a graph-based strategy for detailed routing that optimizes source-sink pathlengths, channel width and total wire-length.
Proceedings ArticleDOI

New Performance-Driven FPGA Routing Algorithms

TL;DR: A graph-based Steiner tree constructions have provably-good performance bounds and outperform the best known ones in practice, while arborescence heuristics produce routing solutions with optimal source-sink pathlengths at a reasonably low wirelength penalty.
Journal ArticleDOI

Placement and Routing for Performance-Oriented FPGA layout.

TL;DR: A performance-oriented placement and routing tool for field-programmable gate arrays using recursive geometric partitioning for simultaneous placement and global routing, and a graph-based strategy for detailed routing that optimizes source-sink pathlengths, channel width and total wirelength.
Proceedings ArticleDOI

Three-dimensional field-programmable gate arrays

TL;DR: A new three-dimensional (3D) FPGA architecture is proposed, along with a fabrication methodology, and several physical-design issues in the new 3D paradigm are raised.
Journal ArticleDOI

New performance-driven FPGA routing algorithms

TL;DR: This work proposes new Steiner and arborescence FPGA routing algorithms that produce routing solutions with optimal source-sink pathlengths, and with wirelength on par with the best existing Steiner tree heuristics.