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Publication search results
found 323 matches
- 2023
- Sukarn Agarwal, Shounak Chakraborty, Magnus Själander:
Architecting Selective Refresh based Multi-Retention Cache for Heterogeneous System (ARMOUR). DAC 2023: 1-6 - Afzal Ahmad, Zhiyao Xie, Wei Zhang:
PertNAS: Architectural Perturbations for Memory-Efficient Neural Architecture Search. DAC 2023: 1-6 - Shamiul Alam, Jack Hutchins, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz:
Cryogenic In-Memory Matrix-Vector Multiplication using Ferroelectric Superconducting Quantum Interference Device (FE-SQUID). DAC 2023: 1-6 - Chengtao An, Chunqiao Li, Xiangqi Li, Yangfeng Su, Fan Yang, Xuan Zeng:
FPDsim: A Structural Simulator For Power Grid Analysis Of Flat Panel Display. DAC 2023: 1-6 - Abhishek Balasubramaniam, Febin Sunny, Sudeep Pasricha:
R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning. DAC 2023: 1-6 - Suhail Basalama, Jie Wang, Jason Cong:
A Comprehensive Automated Exploration Framework for Systolic Array Designs. DAC 2023: 1-6 - Halima Bouzidi, Mohanad Odema, Hamza Ouarnoughi, Smaïl Niar, Mohammad Abdullah Al Faruque:
Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs. DAC 2023: 1-6 - Gianluca Brilli, Giacomo Valente, Alessandro Capotondi, Paolo Burgio, T. Di Masciov, Paolo Valente, Andrea Marongiu:
Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs. DAC 2023: 1-6 - Zhijie Cai, Peng Zou, Zhengtao Wu, Xingyu Tong, Jun Yu, Jianli Chen, Yao-Wen Chang:
PUFFER: A Routability-Driven Placement Framework via Cell Padding with Multiple Features and Strategy Exploration. DAC 2023: 1-6 - Alessandro Tempia Calvino, Alan Mishchenko, Herman Schmit, Ethan Mahintorabi, Giovanni De Micheli, Xiaoqing Xu:
Improving Standard-Cell Design Flow using Factored Form Optimization. DAC 2023: 1-6 - Peng Cao, Jiahao Wang:
Late Breaking Results: RL-LPO: Reinforcement Learning Based Leakage Power Optimization Framework with Graph Neural Network. DAC 2023: 1-2 - Jeremy Casas, Zhenkun Yang, Wen Wang, Jin Yang, Adwait Godbole:
Towards A Formally Verified Fully Homomorphic Encryption Compute Engine. DAC 2023: 1-6 - Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar:
VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. DAC 2023: 1-6 - Liang Chang, Xin Zhao, Dongqi Fan, Zhicheng Hu, Jun Zhou:
HDSuper: Algorithm-Hardware Co-design for Light-weight High-quality Super-Resolution Accelerator. DAC 2023: 1-6 - Saranyu Chattopadhyay, Keerthikumara Devarajegowda, Bihan Zhao, Florian Lonsing, Brandon A. D'Agostino, Ioanna Vavelidou, Vijay Deep Bhatt, Sebastian Prebeck, Wolfgang Ecker, Caroline Trippel, Clark W. Barrett, Subhasish Mitra:
G-QED: Generalized QED Pre-silicon Verification beyond Non-Interfering Hardware Accelerators. DAC 2023: 1-6 - Deming Chen:
Lightning Talk: The Next Wave of High-level Synthesis. DAC 2023: 1-3 - Wei-Hsu Chen, Yao-Wen Chang:
Graph-Based Simultaneous Placement and Routing for Two-Dimensional Directed Self-Assembly Technology. DAC 2023: 1-6 - Kuan-Cheng Chen, Yan-Lin Chen, Yu-Sheng Lu, Yao-Wen Chang:
Toward Parallelism-Optimal Topology Generation for Wavelength-Routed Optical NoC Designs. DAC 2023: 1-6 - Yan-Jen Chen, Yan-Syuan Chen, Wei-Che Tseng, Cheng-Yu Chiang, Yu-Hsiang Lo, Yao-Wen Chang:
Late Breaking Results: Analytical Placement for 3D ICs with Multiple Manufacturing Technologies. DAC 2023: 1-2 - Liang-Chi Chen, Chien-Chung Ho, Yuan-Hao Chang:
UpPipe: A Novel Pipeline Management on In-Memory Processors for RNA-seq Quantification. DAC 2023: 1-6 - Xuan-Jun Chen, Cynthia Kuan, Chia-Lin Yang:
Unified Agile Accuracy Assessment in Computing-in-Memory Neural Accelerators by Layerwise Dynamical Isometry. DAC 2023: 1-6 - Yi Chen, Ning Liu, Ao Ren, Tao Yang, Duo Liu:
IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation. DAC 2023: 1-6 - Xizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui:
Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification. DAC 2023: 1-2 - Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. DAC 2023: 1-6 - Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng:
AutoDCIM: An Automated Digital CIM Compiler. DAC 2023: 1-6 - Jian-Jia Chen, Niklas Ueter, Mario Günzel, Georg von der Brüggen, Tei-Wei Kuo:
Property-Based Timing Analysis and Optimization for Complex Cyber-Physical Real-Time Systems. DAC 2023: 1-2 - Jiaxian Chen, Zhaoyu Zhong, Kaoyi Sun, Chenlin Ma, Rui Mao, Yi Wang:
Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient Processing of Graph Convolutional Networks. DAC 2023: 1-6 - Guohao Chen, Zheng Zeng, Benchao Zhu, Jiawei Li, Kun Wang, Jun Yu, Jianli Chen:
Mixed-cell-height Placement with Minimum-Implant-Area and Drain-to-Drain Abutment Constraints. DAC 2023: 1-6 - Minjeong Choi, Youngchang Choi, Kyongsu Lee, Seokhyeong Kang:
Reinforcement Learning-based Analog Circuit Optimizer using gm/ID for Sizing. DAC 2023: 1-6 - Insu Choi, Jae-Youn Hong, JaeHwa Jeon, Joon-Sung Yang:
RQ-DNN: Reliable Quantization for Fault-tolerant Deep Neural Networks. DAC 2023: 1-2
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