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IEEE/ACM International Conference on Computer-Aided Design

ICCAD

A

CORE rank

CORE rank (raw)

A

Fields of research

Computer Systems Engineering · Distributed Computing and Systems Software

Papers indexed

5,210

1988–2025

Papers per year

1988311 peak2025

ICCAD papers

5,210 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2019Adar: Adversarial Activity Recognition in Wearables.Ramesh Kumar Sah, Hassan Ghasemzadeh
2019Analyzing and Modeling In-Storage Computing Workloads On EISC - An FPGA-Based System-Level Emulation Platform.Zhenyuan Ruan, Tong He, Jason Cong
2019Multi-Stage Optimization for Energy-Efficient Active Cell Balancing in Battery Packs.Debayan Roy, Swaminathan Narayanaswamy, Alma Prbstl, Samarjit Chakraborty
2019What You Simulate Is What You Synthesize: Designing a Processor Core from C++ Specifications.Simon Rokicki, Davide Pala, Joseph Paturel, Olivier Sentieys
2019Automated Probe Repositioning for On-Die EM Measurements.Bastian Richter, Alexander Wild, Amir Moradi
2019Machine Learning-Based Hotspot Detection: Fallacies, Pitfalls and Marching Orders.Gaurav Rajavendra Reddy, Kareem Madkour, Yiorgos Makris
2019Towards In-Circuit Tuning of Deep Learning Designs.Zhiqiang Que, Daniel Holanda Noronha, Ruizhe Zhao, Steven J. E. Wilton, Wayne Luk
2019Lagrangian Relaxation-Based Time-Division Multiplexing Optimization for Multi-FPGA Systems.Chak-Wa Pui, Evangeline F. Y. Young
2019Latest Advancements to the Industry-Leading EPDA Design Flow for Silicon Photonics: Invited Paper.James Pond, Xu Wang, Zeqin Lu, Ellen Schelew, Gilles Lamant, Ahmadreza Farsaei
2019A Dynamic Programming-Based, Path Balancing Technology Mapping Algorithm Targeting Area Minimization.Ghasem Pasandi, Massoud Pedram
2019PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design.Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy
2019SCR-QRNG: Side-Channel Resistant Design using Quantum Random Number Generator.Jungmin Park, Seongjoon Cho, Taejin Lim, Swarup Bhunia, Mark Tehranipoor
2019A Uniform Modeling Methodology for Benchmarking DNN Accelerators.Indranil Palit, Qiuwen Lou, Robert Perricone, Michael T. Niemier, Xiaobo Sharon Hu
2019PURE: Using Verified Remote Attestation to Obtain Proofs of Update, Reset and Erasure in low-End Embedded Systems.Ivan De Oliveira Nunes, Karim Eldefrawy, Norrathep Rattanavipanon, Gene Tsudik
2019LSOracle: a Logic Synthesis Framework Driven by Artificial Intelligence: Invited Paper.Walter Lau Neto, Max Austin, Scott Temple, Luca G. Amar, Xifan Tang, Pierre-Emmanuel Gaillardon
2019Verifying Conformance of Neural Network Models: Invited Paper.Monal Narasimhamurthy, Taisa Kushner, Souradeep Dutta, Sriram Sankaranarayanan
2019ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining.Vojtech Mrazek, Zdenek Vascek, Luks Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique
2019Power Grid Fixing for Electromigration-induced Voltage Failures.Zahi Moudallal, Valeriy Sukharev, Farid N. Najm
2019The Role of Multiplicative Complexity in Compiling Low $T$-count Oracle Circuits.Giulia Meuli, Mathias Soeken, Earl T. Campbell, Martin Roetteler, Giovanni De Micheli
2019Golden Gate: Bridging The Resource-Efficiency Gap Between ASICs and FPGA Prototypes.Albert Magyar, David Biancolin, John Koenig, Sanjit A. Seshia, Jonathan Bachrach, Krste Asanovic
2019ReDESK: A Reconfigurable Dataflow Engine for Sparse Kernels on Heterogeneous Platforms.Kai Lu, Zhaoshi Li, Leibo Liu, Jiawei Wang, Shouyi Yin, Shaojun Wei
2019GAN-CTS: A Generative Adversarial Framework for Clock Tree Prediction and Optimization.Yi-Chen Lu, Jeehyun Lee, Anthony Agnesina, Kambiz Samadi, Sung Kyu Lim
2019Unlocking the Power of Formal Hardware Verification with CoSA and Symbolic QED: Invited Paper.Florian Lonsing, Karthik Ganesan, Makai Mann, Srinivasa Shashank Nuthakki, Eshan Singh, Mario Srouji, Yahan Yang, Subhasish Mitra, Clark W. Barrett
2019Making the Fault-Tolerance of Emerging Neural Network Accelerators Scalable.Tao Liu, Wujie Wen
2019INA: Incremental Network Approximation Algorithm for Limited Precision Deep Neural Networks.Zheyu Liu, Kaige Jia, Weiqiang Liu, Qi Wei, Fei Qiao, Huazhong Yang
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