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Publication search results
found 201 matches
- 2023
- Stefan Abi-Karam, Rishov Sarkar, Dejia Xu, Zhiwen Fan, Zhangyang Wang, Cong Hao:
INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing. ICCAD 2023: 1-9 - Florentia Afentaki, Gurol Saglam, Argyris Kokkinis, Kostas Siozios, Georgios Zervakis, Mehdi B. Tahoori:
Bespoke Approximation of Multiplication-Accumulation and Activation Targeting Printed Multilayer Perceptrons. ICCAD 2023: 1-9 - Ahmed Agiza, Rajarshi Roy, Teodor-Dumitru Ene, Saad Godil, Sherief Reda, Bryan Catanzaro:
GraPhSyM: Graph Physical Synthesis Model. ICCAD 2023: 1-9 - Gulsum Gudukbay Akbulut, Mahmut T. Kandemir, Mustafa Karaköy, Wonil Choi:
Data Recomputation for Multithreaded Applications. ICCAD 2023: 1-9 - Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu, Yuan Xie:
Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators. ICCAD 2023: 1-9 - Yueyin Bai, Hao Zhou, Keqing Zhao, Hongji Wang, Jianli Chen, Jun Yu, Kun Wang:
FET-OPU: A Flexible and Efficient FPGA-Based Overlay Processor for Transformer Networks. ICCAD 2023: 1-9 - Thilini Kaushalya Bandara, Dan Wu, Rohan Juneja, Dhananjaya Wijerathne, Tulika Mitra, Li-Shiuan Peh:
FLEX: Introducing FLEXible Execution on CGRA with Spatio-Temporal Vector Dataflow. ICCAD 2023: 1-9 - Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani:
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD 2023: 1-8 - Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani:
Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies. ICCAD 2023: 1-9 - Marco Brohet, Felipe Valencia, Francesco Regazzoni:
Invited Paper: Instruction Set Extensions for Post-Quantum Cryptography. ICCAD 2023: 1-6 - Ahmet Faruk Budak, Keren Zhu, David Z. Pan:
Practical Layout-Aware Analog/Mixed-Signal Design Automation with Bayesian Neural Networks. ICCAD 2023: 1-8 - Ismail Bustany, Grigor Gasparyan, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design. ICCAD 2023: 1-9 - Alessandro Tempia Calvino, Giovanni De Micheli:
Technology Mapping Using Multi-Output Library Cells. ICCAD 2023: 1-9 - Andrew Cannon, Tasnuva Farheen, Sourav Roy, Shahin Tajik, Domenic Forte:
Protection Against Physical Attacks Through Self-Destructive Polymorphic Latch. ICCAD 2023: 1-9 - Jialin Cao, Xuanda Lin, Manting Zhang, Kejia Shi, Jun Yu, Kun Wang:
PP-Transformer: Enable Efficient Deployment of Transformers Through Pattern Pruning. ICCAD 2023: 1-9 - Yongliang Chen, Xiaole Cui, Pengyuan Yang, Gang Qu:
An Anti-Removal-Attack Hardware Watermarking Method Based on Polymorphic Gates. ICCAD 2023: 1-9 - Yufei Chen, Xiao Dong, Wei-Kai Shih, Cheng Zhuo:
Invited Paper: Unleashing the Potential of Machine Learning: Harnessing the Dynamics of Supply Noise for Timing Sign-Off. ICCAD 2023: 1-6 - Chen Chen, Vasudev Gohil, Rahul Kande, Ahmad-Reza Sadeghi, Jeyavijayan Rajendran:
PSOFuzz: Fuzzing Processors with Particle Swarm Optimization. ICCAD 2023: 1-9 - Wei-Lun Chen, Fang-Yi Gu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann:
A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing. ICCAD 2023: 1-9 - Zhiyang Chen, Tsung-Yi Ho, Ulf Schlichtmann, Datao Chen, Mingyu Liu, Hailong Yao, Xia Yin:
NeuroEscape: Ordered Escape Routing via Monte-Carlo Tree Search and Neural Network. ICCAD 2023: 1-9 - Liang Chen, Jincong Lu, Wentian Jin, Sheldon X.-D. Tan:
Fast Full-Chip Parametric Thermal Analysis Based on Enhanced Physics Enforced Neural Networks. ICCAD 2023: 1-8 - Yan-Lin Chen, Wei-Che Tseng, Wei-Yao Kao, Yao-Wen Chang:
A General Wavelength-Routed Optical Networks-on-Chip Model with Applications to Provably Good Customized and Fault-Tolerant Topology Designs. ICCAD 2023: 1-7 - Yifan Chen, Zaiwen Wen, Yun Liang, Yibo Lin:
Stronger Mixed-Size Placement Backbone Considering Second-Order Information. ICCAD 2023: 1-9 - Hanqiu Chen, Hang Yang, Stephen B. R. Fitzmeyer, Cong Hao:
Rapid-INR: Storage Efficient CPU-Free DNN Training Using Implicit Neural Representation. ICCAD 2023: 1-9 - Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel:
RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. ICCAD 2023: 1-9 - Zhihan Chen, Xindi Zhang, Yuhang Qian, Qiang Xu, Shaowei Cai:
Integrating Exact Simulation into Sweeping for Datapath Combinational Equivalence Checking. ICCAD 2023: 1-9 - Shu-Ting Cheng, Wen Sheng Lim, Chia-Heng Tu, Yuan-Hao Chang:
TRAIN: A Reinforcement Learning Based Timing-Aware Neural Inference on Intermittent Systems. ICCAD 2023: 1-9 - Cheng-Hsiang Chiu, Dian-Lun Lin, Tsung-Wei Huang:
Invited Paper: Programming Dynamic Task Parallelism for Heterogeneous EDA Algorithms. ICCAD 2023: 1-8 - Chung-Han Chou, Chih-Jen (Jacky) Hsu, Chi-An (Rocky) Wu, Kuan-Hua Tu, Kei-Yong Khoo:
Invited Paper: 2023 ICCAD CAD Contest Problem A: Multi-Bit Large-Scale Boolean Matching. ICCAD 2023: 1-4 - Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg:
Invited Paper: Towards the Imagenets of ML4EDA. ICCAD 2023: 1-7
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