【IDA Talk】敬邀參加6/12（五）Dr. Alan Mishchenko 演講
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"IDA-智慧設計自動化聯盟" 將舉辦國外專家講座(EDA相關)，相關資訊如下，歡迎您參加，
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敬邀參加 IDA 智慧設計自動化聯盟國外專家講座！Welcome to join this talk!
Title: Machine Learning-Inspired Logic Synthesis: Improving Multiplier Circuits
Speaker: Dr. Alan Mishchenko, University of California, Berkeley
Date & Time: 11:00-12:00, Friday, June 12, 2026
Location: Room 103, Barry Lam Hall (博理館), National Taiwan University
Abstract:
We present an ML-inspired logic synthesis framework to synthesize compact logic circuits from a functional specification. Based on a given circuit template, the proposed framework creates and trains a model using a novel backpropagation method, called don’t-care-based backpropagation, which makes it possible to learn non-differentiable attributes of logic circuits efficiently. We ensure the resulting circuit is functionally correct by adding a patch for the cases in which the model is not 100% accurate. To demonstrate its effectiveness, we apply the proposed framework to synthesis of new multiplier circuits. The resulting multipliers are smaller than the best known implementations. Finally, the generated multipliers were integrated into a state-of- the-art logic synthesis tool, leading to 1.98% area and 0.54% WNS reductions, post place and route, on designs specialized for AI tasks.
Bio:
Alan graduated with an M.S. from Moscow Institute of Physics and Technology (Moscow, Russia) in 1993 and received his Ph.D. from Glushkov Institute of Cybernetics (Kiev, Ukraine) in 1997. In 2002, Alan joined the EECS Department at University of California, Berkeley, where he is currently a full researcher. His research is in computationally efficient logic synthesis, formal verification, and machine learning.
