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Angie Wang

Researcher at University of California, Berkeley

Publications -  21
Citations -  1117

Angie Wang is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Logic optimization & CMOS. The author has an hindex of 9, co-authored 21 publications receiving 1057 citations. Previous affiliations of Angie Wang include Synopsys.

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Proceedings ArticleDOI

Logic verification using binary decision diagrams in a logic synthesis environment

TL;DR: The results of a formal logic verification system implemented as part of the multilevel logic synthesis system MIS are discussed and it has been possible to carry out formal verification for a larger set of networks than with existing verification systems.
Proceedings ArticleDOI

Timing optimization of combinational logic

TL;DR: An algorithm for speeding up combinational logic with minimal area increase is presented, using a static timing analyzer and a weighted min-cut algorithm to determine the subset of nodes to be resynthesized.
Proceedings ArticleDOI

Reusability is FIRRTL ground: hardware construction languages, compiler frameworks, and transformations

TL;DR: This work hypothesizes that existing hardware construction languages and novel hardware compiler frameworks can put hardware development on a similar evolutionary path by enabling new hardware libraries to be independent of underlying process technologies including FPGA mappings.
Proceedings ArticleDOI

Certified timing verification and the transition delay of a logic circuit

TL;DR: It is shown that the transition delay of a circuit can differ from the floating delay even in the presence of arbitrary monotonic speedups in the circuit, which results in a delay calculation which produces a vector sequence that may be timing simulated to certify static timing verification.
Proceedings ArticleDOI

Multi-Level Logic Simplification Using Don't Cares and Filters

TL;DR: Algorithms to reduce the size of the don't care sets, so that only the portions that will be useful in minimization at each component of the circuit are retained are retained.