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Publication search results
found 98 matches
- 2020
- Jianlei Yang, Xiaopeng Gao, Weisheng Zhao:
Towards Systems Education for Artificial Intelligence: A Course Practice in Intelligent Computing Architectures. ACM Great Lakes Symposium on VLSI 2020: 567-572 - Francesco Regazzoni, Ilia Polian:
Side Channel Attacks vs Approximate Computing. ACM Great Lakes Symposium on VLSI 2020: 321-326 - Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Xianzhong Zhou, Lei Zhang, Huaguo Liang, Huawei Li:
Multi-task Scheduling for PIM-based Heterogeneous Computing System. ACM Great Lakes Symposium on VLSI 2020: 457-462 - Yuan He, Jinyu Jiao, Thang Cao, Masaaki Kondo:
Energy-Efficient On-Chip Networks through Profiled Hybrid Switching. ACM Great Lakes Symposium on VLSI 2020: 241-246 - Jiliang Zhang, Chen Li, Jing Ye, Gang Qu:
Privacy Threats and Protection in Machine Learning. ACM Great Lakes Symposium on VLSI 2020: 531-536 - Bo Liu, Yuhao Sun, Hao Cai, Zeyu Shen, Yu Gong, Lepeng Huang, Zhen Wang:
An Ultra-low Power Keyword-Spotting Accelerator Using Circuit-Architecture-System Co-design and Self-adaptive Approximate Computing Based BWN. ACM Great Lakes Symposium on VLSI 2020: 193-198 - Rashmi S. Agrawal, Lake Bu, Eliakin Del Rosario, Michel A. Kinsy:
Towards Programmable All-Digital True Random Number Generator. ACM Great Lakes Symposium on VLSI 2020: 53-58 - Shaahin Angizi, Wei Zhang, Deliang Fan:
Exploring DNA Alignment-in-Memory Leveraging Emerging SOT-MRAM. ACM Great Lakes Symposium on VLSI 2020: 277-282 - Md Tanvir Arafin, Zhaojun Lu:
Security Challenges of Processing-In-Memory Systems. ACM Great Lakes Symposium on VLSI 2020: 229-234 - Sina Asadi, M. Hassan Najafi:
Accelerating Deterministic Stochastic Computing with Context-Aware Bit-stream Generator. ACM Great Lakes Symposium on VLSI 2020: 157-162 - Muhammad Awais, Hassan Ghasemzadeh Mohammadi, Marco Platzner:
A Hybrid Synthesis Methodology for Approximate Circuits. ACM Great Lakes Symposium on VLSI 2020: 421-426 - Yining Bai, Yue Zhang, Jinkai Wang, Guanda Wang, Zhizhong Zhang, Zhenyi Zheng, Kun Zhang, Weisheng Zhao:
A Novel In-memory Computing Scheme Based on Toggle Spin Torque MRAM. ACM Great Lakes Symposium on VLSI 2020: 351-356 - Wei Bao, Peng Cao, Hao Cai, Aiguo Bu:
A Learning-Based Timing Prediction Framework for Wide Supply Voltage Design. ACM Great Lakes Symposium on VLSI 2020: 309-314 - Sathwika Bavikadi, Purab Ranjan Sutradhar, Khaled N. Khasawneh, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
A Review of In-Memory Computing Architectures for Machine Learning Applications. ACM Great Lakes Symposium on VLSI 2020: 89-94 - Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee:
An Approximate Carry Estimating Simultaneous Adder with Rectification. ACM Great Lakes Symposium on VLSI 2020: 139-144 - Noah Boorstin, Veronica Cortes, Kaveh Pezeshki, David M. Harris, Shuojin Hang:
A Simplified Arm Processor for VLSI Education. ACM Great Lakes Symposium on VLSI 2020: 555-559 - Niklas Bruns, Daniel Große, Rolf Drechsler:
Early Verification of ISA Extension Specifications using Deep Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2020: 297-302 - Claudio Canella, Sai Manoj Pudukotai Dinakarrao, Daniel Gruss, Khaled N. Khasawneh:
Evolution of Defenses against Transient-Execution Attacks. ACM Great Lakes Symposium on VLSI 2020: 169-174 - Claudio Canella, Khaled N. Khasawneh, Daniel Gruss:
The Evolution of Transient-Execution Attacks. ACM Great Lakes Symposium on VLSI 2020: 163-168 - Zhe Chen, Yuelong Zhao:
DA-GC: A Dynamic Adjustment Garbage Collection Method Considering Wear-leveling for SSD. ACM Great Lakes Symposium on VLSI 2020: 475-480 - Jingxian Cheng, Saiyu Qi, Wenqing Wang, Yuchen Yang, Yong Qi:
Fast Consistency Auditing for Massive Industrial Data in Untrusted Cloud Services. ACM Great Lakes Symposium on VLSI 2020: 381-386 - Jinhua Cui, Weiguang Liu, Jianhang Huang, Laurence T. Yang:
Exploiting Disturbance-Aware Read Redirection for Performance Improvement in 3D Flash Memory. ACM Great Lakes Symposium on VLSI 2020: 95-100 - Dharanidhar Dang, Aurosmita Khansama, Rabi N. Mahapatra, Debashis Sahoo:
BPhoton-CNN: An Ultrafast Photonic Backpropagation Accelerator for Deep Learning. ACM Great Lakes Symposium on VLSI 2020: 27-32 - Meng Dong, Zhiliang Qiu, Weitao Pan, Hongbin Zhang, Chenglei Kong, Hui Jin, Jianlei Yang:
Dual-Plane Switch Architecture for Time-Triggered Ethernet. ACM Great Lakes Symposium on VLSI 2020: 375-379 - Yuqin Dou, Shichao Yu, Chongyan Gu, Máire O'Neill, Chenghua Wang, Weiqiang Liu:
Security Analysis of Hardware Trojans on Approximate Circuits. ACM Great Lakes Symposium on VLSI 2020: 315-320 - Zahra Ebrahimi, Salim Ullah, Akash Kumar:
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy. ACM Great Lakes Symposium on VLSI 2020: 151-156 - Rongliang Fu, Zhimin Zhang, Guang-Ming Tang, Junying Huang, Xiaochun Ye, Dongrui Fan, Ninghui Sun:
Design Automation Methodology from RTL to Gate-level Netlist and Schematic for RSFQ Logic Circuits. ACM Great Lakes Symposium on VLSI 2020: 145-150 - Mengke Ge, Qi Xu, Huajie Ruan, Xiaobing Ni, Song Chen, Yi Kang:
Synthesizing A Generalized Brain-inspired Interconnection Network for Large-scale Network-on-chip Systems. ACM Great Lakes Symposium on VLSI 2020: 303-308 - Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang:
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. ACM Great Lakes Symposium on VLSI 2020: 119-124 - Qingli Guo, Jing Ye, Jiliang Zhang, Yu Hu, Xiaowei Li, Huawei Li:
Prediction Stability: A New Metric for Quantitatively Evaluating DNN Outputs. ACM Great Lakes Symposium on VLSI 2020: 537-542
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