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Tom Blank

Researcher at Stanford University

Publications -  11
Citations -  430

Tom Blank is an academic researcher from Stanford University. The author has contributed to research in topics: Unix & Modeling language. The author has an hindex of 7, co-authored 11 publications receiving 430 citations.

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Journal ArticleDOI

A Survey of Hardware Accelerators Used in Computer-Aided Design

TL;DR: A simulation machine that achieves roughly a million-times speed-up over a conventional 1-MIP mainframe and a very low cost machine for design rule checking that provides a 100-times improvement clearly demonstrate the viability of special-purpose engines.
Proceedings ArticleDOI

Parallel logic simulation on general purpose machines

TL;DR: The asynchronous simulation technique varies between speeds one to three times faster than the conventional event-driven algorithm using one processor and depending on the circuit, achieves 10 to 20% better utilization using 15 processors.
Proceedings ArticleDOI

A Parallel Bit Map Processor Architecture for DA Algorithms

TL;DR: This paper describes a processing architecture that is specifically designed to operate on bit maps that has an inherently two-dimensional construction and has a very large parallel processing capability.
Journal ArticleDOI

A Best-First Search Algorithm for Optimal PLA Folding

Abstract: In this paper we propose a new algorithm for optimal PLA folding based on a graph theoretic formulation. An efficient best-first search (BFS) algorithm is presented which finds a near-optimal PLA folding. The proposed algorithm first constructs the longest paths on the associated disjoint graph generated from the PLA personality matrix, and then extracts the ordered folding sets from the constructed paths. The algorithm is shown to be effective for most test cases.
Journal ArticleDOI

Fast functional simulation: an incremental approach

TL;DR: The authors describe the design and implementation of the incremental algorithm for logic or functional simulation, which substantially improves the run-time performance over existing simulators by using the incremental property of the hardware design process.