Cunxi Yu | DeepAI

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Shanglin Zhou
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Yingjie Li
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∙ 09/21/2023

AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP

Arbitrary-precision integer multiplication is the core kernel of many ap...

0 Zhuoping Yang, et al. ∙

∙ 08/19/2023

Accelerating Exact Combinatorial Optimization via RL-based Initialization – A Case Study in Scheduling

Scheduling on dataflow graphs (also known as computation graphs) is an N...

0 Jiaqi Yin, et al. ∙

∙ 06/20/2023

LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks

To lower the barrier to diffractive optical neural networks (DONNs) desi...

0 Yingjie Li, et al. ∙

∙ 04/25/2023

Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture

Recently, there are increasing efforts on advancing optical neural netwo...

0 Yingjie Li, et al. ∙

∙ 04/10/2023

RESPECT: Reinforcement Learning based Edge Scheduling on Pipelined Coral Edge TPUs

Deep neural networks (DNNs) have substantial computational and memory re...

0 Jiaqi Yin, et al. ∙

∙ 04/04/2023

Physics-aware Roughness Optimization for Diffractive Optical Neural Networks

As a representative next-generation device/circuit technology beyond CMO...

0 Shanglin Zhou, et al. ∙

∙ 03/14/2023

Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks

Reasoning high-level abstractions from bit-blasted Boolean networks (BNs...

0 Nan Wu, et al. ∙

∙ 09/28/2022

Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks

Diffractive optical neural networks (DONNs) have attracted lots of atten...

0 Yingjie Li, et al. ∙

∙ 02/15/2022

End-to-end Automatic Logic Optimization Exploration via Domain-specific Multi-armed Bandit

Recent years have seen increasing employment of decision intelligence in...

0 Walter Lau Neto, et al. ∙

∙ 12/16/2020

Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design

Deep neural networks (DNNs) have substantial computational requirements,...

17 Yingjie Li, et al. ∙

∙ 11/17/2020

Contrastive Weight Regularization for Large Minibatch SGD

The minibatch stochastic gradient descent method (SGD) is widely applied...

21 Qiwei Yuan, et al. ∙

∙ 04/15/2019

Painting on Placement: Forecasting Routing Congestion using Conditional Generative Adversarial Nets

Physical design process commonly consumes hours to days for large design...

0 Cunxi Yu, et al. ∙

∙ 01/09/2019

Spectral Approach to Verifying Non-linear Arithmetic Circuits

This paper presents a fast and effective computer algebraic method for a...

0 Cunxi Yu, et al. ∙

∙ 11/14/2018

Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning

Due to the increasing complexity of Integrated Circuits (ICs) and System...

0 Cunxi Yu, et al. ∙

∙ 09/17/2018

Algorithmic Obfuscation over GF(2^m)

Galois Field arithmetic blocks are the key components in many security a...

0 Cunxi Yu, et al. ∙

∙ 04/16/2018

Developing Synthesis Flows Without Human Knowledge

Design flows are the explicit combinations of design transformations, pr...

0 Cunxi Yu, et al. ∙

∙ 02/16/2018

Formal Analysis of Galois Field Arithmetics - Parallel Verification and Reverse Engineering

Galois field (GF) arithmetic circuits find numerous applications in comm...

0 Cunxi Yu, et al. ∙

∙ 08/31/2017

Advanced Datapath Synthesis using Graph Isomorphism

This paper presents an advanced DAG-based algorithm for datapath synthes...

0 Cunxi Yu, et al. ∙

∙ 12/14/2016

Reverse Engineering of Irreducible Polynomials in GF(2^m) Arithmetic

Current techniques for formally verifying circuits implemented in Galois...

0 Cunxi Yu, et al. ∙

∙ 11/16/2016

Efficient Parallel Verification of Galois Field Multipliers

Galois field (GF) arithmetic is used to implement critical arithmetic co...

0 Cunxi Yu, et al. ∙

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