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Kartik Mohanram

Researcher at University of Pittsburgh

Publications -  117
Citations -  3550

Kartik Mohanram is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Logic gate & Logic synthesis. The author has an hindex of 31, co-authored 117 publications receiving 3323 citations. Previous affiliations of Kartik Mohanram include Cisco Systems, Inc. & École Polytechnique Fédérale de Lausanne.

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Journal ArticleDOI

Gate sizing to radiation harden combinational logic

TL;DR: A gate-level radiation hardening technique for cost-effective reduction of the soft error failure rate in combinational logic circuits is described, which uses a novel gate (transistor) sizing technique that is both efficient and accurate.
Proceedings ArticleDOI

Cost-effective approach for reducing soft error failure rate in logic circuits

TL;DR: A new paradigm for designing logic circuits with concurrent error detection (CED) based on partial duplication is described, capable of reducing the soft error failure rate significantly with a fraction of the overhead required for full duplication.
Journal ArticleDOI

Triple-mode single-transistor graphene amplifier and its applications.

TL;DR: A triple-mode single-transistor graphene amplifier utilizing a three-terminal back-gated single-layer graphene transistor, which offers new opportunities for designing analog circuits with simpler structure and higher integration densities for communications applications.
Proceedings ArticleDOI

High performance reliable variable latency carry select addition

TL;DR: An analytical model for the error rate of SCSA is developed to facilitate both design exploration and convergence and shows that on average, variable latency addition using SCSA-based speculative adders is 10% faster than the DesignWare adder with up to 43% area reduction.
Proceedings ArticleDOI

Partial error masking to reduce soft error failure rate in logic circuits

TL;DR: A new methodology for designing logic circuits with partial error masking is described, which uses two reduction heuristics to reduce the soft error failure rate significantly with a fraction of the overhead required for conventional TMR.