| 2023 | Tensor Movement Orchestration in Multi-GPU Training Systems. | Shao-Fu Lin, Yi-Jung Chen, Hsiang-Yun Cheng, Chia-Lin Yang |
| 2023 | HoPP: Hardware-Software Co-Designed Page Prefetching for Disaggregated Memory. | Haifeng Li, Ke Liu, Ting Liang, Zuojun Li, Tianyue Lu, Hui Yuan, Yinben Xia, Yungang Bao, Mingyu Chen, Yizhou Shan |
| 2023 | NvWa: Enhancing Sequence Alignment Accelerator Throughput via Hardware Scheduling. | Yewen Li, Xueqi Li, Ruihao Gao, Wanqi Liu, Guangming Tan |
| 2023 | Baryon: Efficient Hybrid Memory Management with Compression and Sub-Blocking. | Yiwei Li, Mingyu Gao |
| 2023 | SnakeByte: A TLB Design with Adaptive and Recursive Page Merging in GPUs. | Jiwon Lee, Ju Min Lee, Yunho Oh, William J. Song, Won Woo Ro |
| 2023 | INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators. | Bokyung Kim, Shiyu Li, Hai Li |
| 2023 | NOMAD: Enabling Non-blocking OS-managed DRAM Cache via Tag-Data Decoupling. | Youngin Kim, Hyeonjin Kim, William J. Song |
| 2023 | OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing. | Junkyum Kim, Myeonggu Kang, Yunki Han, Yang-gon Kim, Lee-Sup Kim |
| 2023 | MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks. | Seah Kim, Hasan Genc, Vadim Vadimovich Nikiforov, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao |
| 2023 | VVQ: Virtualizing Virtual Channel for Cost-Efficient Protocol Deadlock Avoidance. | Hans Kasan, John Kim |
| 2023 | VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs. | Geonhwa Jeong, Sana Damani, Abhimanyu Rajeshkumar Bambhaniya, Eric Qin, Christopher J. Hughes, Sreenivas Subramoney, Hyesoon Kim, Tushar Krishna |
| 2023 | MERCURY: Accelerating DNN Training By Exploiting Input Similarity. | Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Farabi Mahmud, Alex Hilty, Abdullah Muzahid |
| 2023 | Safety Hints for HTM Capacity Abort Mitigation. | Anirudh Jain, Divya Kiran Kadiyala, Alexandros Daglis |
| 2023 | Sibia: Signed Bit-slice Architecture for Dense DNN Acceleration with Slice-level Sparsity Exploitation. | Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Hoi-Jun Yoo |
| 2023 | GROW: A Row-Stationary Sparse-Dense GEMM Accelerator for Memory-Efficient Graph Convolutional Neural Networks. | Ranggi Hwang, Minhoo Kang, Jiwon Lee, Dongyun Kam, Youngjoo Lee, Minsoo Rhu |
| 2023 | Root Crash Consistency of SGX-style Integrity Trees in Secure Non-Volatile Memory Systems. | Jianming Huang, Yu Hua |
| 2023 | Market Mechanism-Based User-in-the-Loop Scalable Power Oversubscription for HPC Systems. | Md Rajib Hossen, Kishwar Ahmed, Mohammad A. Islam |
| 2023 | Thoth: Bridging the Gap Between Persistently Secure Memories and Memory Interfaces of Emerging NVMs. | Xijing Han, James Tuck, Amro Awad |
| 2023 | AstriFlash A Flash-Based System for Online Services. | Siddharth Gupta, Yunho Oh, Lei Yan, Mark Sutherland, Abhishek Bhattacharjee, Babak Falsafi, Peter Hsu |
| 2023 | SecPB: Architectures for Secure Non-Volatile Memory with Battery-Backed Persist Buffers. | Alexander Freij, Huiyang Zhou, Yan Solihin |
| 2023 | A Scalable Methodology for Designing Efficient Interconnection Network of Chiplets. | Yinxiao Feng, Dong Xiang, Kaisheng Ma |
| 2023 | Efficient Distributed Secure Memory with Migratable Merkle Tree. | Erhu Feng, Dong Du, Yubin Xia, Haibo Chen |
| 2023 | TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU. | Shengyu Fan, Zhiwei Wang, Weizhi Xu, Rui Hou, Dan Meng, Mingzhe Zhang |
| 2023 | Compression-Aware and Performance-Efficient Insertion Policies for Long-Lasting Hybrid LLCs. | Carlos Escuin, Asif Ali Khan, Pablo Ibez, Teresa Monreal, Jernimo Castrilln, Vctor Vials |
| 2023 | ESD: An ECC-assisted and Selective Deduplication for Encrypted Non-Volatile Main Memory. | Chunfeng Du, Suzhen Wu, Jiapeng Wu, Bo Mao, Shengzhe Wang |