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Yao-Tsung Chang

Researcher at National Chung Cheng University

Publications -  5
Citations -  207

Yao-Tsung Chang is an academic researcher from National Chung Cheng University. The author has contributed to research in topics: Power optimization & Low-power electronics. The author has an hindex of 5, co-authored 5 publications receiving 197 citations. Previous affiliations of Yao-Tsung Chang include Synopsys.

Papers
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Journal ArticleDOI

Post-Placement Power Optimization With Multi-Bit Flip-Flops

TL;DR: Experimental results show that the algorithms are very effective in reducing not only flip-flop power consumption but also clock tree and signal net wirelength, and the power consumption of the clock network is minimized.
Proceedings ArticleDOI

Post-placement power optimization with multi-bit flip-flops

TL;DR: This paper presents a novel power optimization method by incrementally applying more multi-bit flip-flops at the post-placement stage to gain more clock power saving while considering the placement density and timing slack constraints, and simultaneously minimizing interconnecting wirelength.
Proceedings ArticleDOI

Recent research in clock power saving with multi-bit flip-flops

TL;DR: The advantages of applying multi-bit flip-flops are presented, various MBFF design flows are introduced, key techniques for design optimization with MBFFs are surveyed, and some future research directions in clock power saving with MB FFs are provided.
Proceedings ArticleDOI

Crosstalk-aware power optimization with multi-bit flip-flops

TL;DR: A novel crosstalk-aware power optimization approach is further proposed to optimize power consumption while satisfying the cros stalk constraint and Experimental results show that the proposed approach is very effective in crosStalk avoidance when applying MBFFs for power optimization.
Journal ArticleDOI

Crosstalk-aware multi-bit flip-flop generation for power optimization

TL;DR: A novel crosstalk-aware power optimization approach is further proposed to optimize power consumption while satisfying the cros stalk constraint and Experimental results show that the proposed approach is very effective in crosStalk avoidance when applying MBFFs for power optimization.