| 2023 | eNODE: Energy-Efficient and Low-Latency Edge Inference and Training of Neural ODEs. | Junkang Zhu, Yaoyu Tao, Zhengya Zhang |
| 2023 | MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism. | Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu |
| 2023 | DIMM-Link: Enabling Efficient Inter-DIMM Communication for Near-Memory Processing. | Zhe Zhou, Cong Li, Fan Yang, Guangyu Sun |
| 2023 | Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. | Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang |
| 2023 | Realizing Extreme Endurance Through Fault-aware Wear Leveling and Improved Tolerance. | Jiangwei Zhang, Chong Wang, Zhenhua Zhu, Donald Kline, Alex K. Jones, Huazhong Yang, Yu Wang |
| 2023 | Silo: Speculative Hardware Logging for Atomic Durability in Persistent Memory. | Ming Zhang, Yu Hua |
| 2023 | Know Your Enemy To Save Cloud Energy: Energy-Performance Characterization of Machine Learning Serving. | Junyeol Yu, Jongseok Kim, Euiseong Seo |
| 2023 | Rambda: RDMA-driven Acceleration Framework for Memory-intensive s-scale Datacenter Applications. | Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim |
| 2023 | ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. | Haoran You, Zhanyi Sun, Huihong Shi, Zhongzhi Yu, Yang Zhao, Yongan Zhang, Chaojian Li, Baopu Li, Yingyan Lin |
| 2023 | SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. | Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee |
| 2023 | LightTrader: A Standalone High-Frequency Trading System with Deep Learning Inference Accelerators and Proactive Scheduler. | Sungyeob Yoo, Hyunsung Kim, Jinseok Kim, Sunghyun Park, Joo-Young Kim, Jinwook Oh |
| 2023 | Reconciling Selective Logging and Hardware Persistent Memory Transaction. | Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin |
| 2023 | High Performance and Power Efficient Accelerator for Cloud Inference. | Jianguo Yao, Hao Zhou, Yalin Zhang, Ying Li, Chuang Feng, Shi Chen, Jiaoyan Chen, Yongdong Wang, Qiaojuan Hu |
| 2023 | Poseidon: Practical Homomorphic Encryption Accelerator. | Yinghao Yang, Huaizhi Zhang, Shengyu Fan, Hang Lu, Mingzhe Zhang, Xiaowei Li |
| 2023 | ISOSceles: Accelerating Sparse CNNs through Inter-Layer Pipelining. | Yifan Yang, Joel S. Emer, Daniel Snchez |
| 2023 | Efficient Supernet Training Using Path Parallelism. | Ying Xu, Long Cheng, Xuyi Cai, Xiaohan Ma, Weiwei Chen, Lei Zhang, Ying Wang |
| 2023 | Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. | Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair |
| 2023 | SHADOW: Preventing Row Hammer in DRAM with Intra-Subarray Row Shuffling. | Minbok Wi, Jaehyun Park, Seoyoung Ko, Michael Jaemin Kim, Nam Sung Kim, Eojin Lee, Jung Ho Ahn |
| 2023 | Post0-VR: Enabling Universal Realistic Rendering for Modern VR via Exploiting Architectural Similarity and Data Sharing. | Yu Wen, Chenhao Xie, Shuaiwen Leon Song, Xin Fu |
| 2023 | CTA: Hardware-Software Co-design for Compressed Token Attention Mechanism. | Haoran Wang, Haobo Xu, Ying Wang, Yinhe Han |
| 2023 | ACIC: Admission-Controlled Instruction Cache. | Yunjin Wang, Chia-Hao Chang, Anand Sivasubramaniam, Niranjan Soundararajan |
| 2023 | HyQSAT: A Hybrid Approach for 3-SAT Problems by Integrating Quantum Annealer with CDCL. | Siwei Tan, Mingqian Yu, Andre Python, Yongheng Shang, Tingting Li, Liqiang Lu, Jianwei Yin |
| 2023 | SpecFaaS: Accelerating Serverless Applications with Speculative Function Execution. | Jovan Stojkovic, Tianyin Xu, Hubertus Franke, Josep Torrellas |
| 2023 | Memory-Efficient Hashed Page Tables. | Jovan Stojkovic, Namrata Mantri, Dimitrios Skarlatos, Tianyin Xu, Josep Torrellas |
| 2023 | Securator: A Fast and Secure Neural Processing Unit. | Nivedita Shrivastava, Smruti Ranjan Sarangi |