| 2023 | A Pulse Generation Framework with Augmented Program-aware Basis Gates and Criticality Analysis. Yan-Hao Chen, Yuwei Jin, Fei Hua, Ari B. Hayes, Ang Li, Yunong Shi, Eddy Z. Zhang |
| 2023 | A Scalable Methodology for Designing Efficient Interconnection Network of Chiplets. Yinxiao Feng, Dong Xiang, Kaisheng Ma |
| 2023 | A Storage-Effective BTB Organization for Servers. Truls Asheim, Boris Grot, Rakesh Kumar |
| 2023 | A Systematic Study of DDR4 DRAM Faults in the Field. Majed Valad Beigi, Yi Cao, Sudhanva Gurumurthi, Charles Recchia, Andrew C. Walton, Vilas Sridharan |
| 2023 | AB-ORAM: Constructing Adjustable Buckets for Space Reduction in Ring ORAM. Mehrnoosh Raoufi, Jun Yang, Xulong Tang, Youtao Zhang |
| 2023 | ACIC: Admission-Controlled Instruction Cache. Yunjin Wang, Chia-Hao Chang, Anand Sivasubramaniam, Niranjan Soundararajan |
| 2023 | AVGI: Microarchitecture-Driven, Fast and Accurate Vulnerability Assessment. George Papadimitriou, Dimitris Gizopoulos |
| 2023 | Adrias: Interference-Aware Memory Orchestration for Disaggregated Cloud Infrastructures. Dimosthenis Masouros, Christian Pinto, Michele Gazzetti, Sotirios Xydis, Dimitrios Soudris |
| 2023 | Ah-Q: Quantifying and Handling the Interference within a Datacenter from a System Perspective. Yuhang Liu, Xin Deng, Jiapeng Zhou, Mingyu Chen, Yungang Bao |
| 2023 | Are Randomized Caches Truly Random? Formal Analysis of Randomized-Partitioned Caches. Anirban Chakraborty, Sarani Bhattacharya, Sayandeep Saha, Debdeep Mukhopadhyay |
| 2023 | AstriFlash A Flash-Based System for Online Services. Siddharth Gupta, Yunho Oh, Lei Yan, Mark Sutherland, Abhishek Bhattacharjee, Babak Falsafi, Peter Hsu |
| 2023 | AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks. Mulong Luo, Wenjie Xiong, Geunbae Lee, Yueying Li, Xiaomeng Yang, Amy Zhang, Yuandong Tian, Hsien-Hsin S. Lee, G. Edward Suh |
| 2023 | BM-Store: A Transparent and High-performance Local Storage Architecture for Bare-metal Clouds Enabling Large-scale Deployment. Yiquan Chen, Jiexiong Xu, Chengkun Wei, Yijing Wang, Xin Yuan, Yangming Zhang, Xulin Yu, Yi Chen, Zeke Wang, Shuibing He, Wenzhi Chen |
| 2023 | Baryon: Efficient Hybrid Memory Management with Compression and Sub-Blocking. Yiwei Li, Mingyu Gao |
| 2023 | CARE: A Concurrency-Aware Enhanced Lightweight Cache Management Framework. Xiaoyang Lu, Rujia Wang, Xian-He Sun |
| 2023 | CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. Yue Dai, Youtao Zhang, Xulong Tang |
| 2023 | CHOPPER: A Compiler Infrastructure for Programmable Bit-serial SIMD Processing Using Memory in DRAM. Xiangjun Peng, Yaohua Wang, Ming-Chang Yang |
| 2023 | CTA: Hardware-Software Co-design for Compressed Token Attention Mechanism. Haoran Wang, Haobo Xu, Ying Wang, Yinhe Han |
| 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 | Co-Designed Architectures for Modular Superconducting Quantum Computers. Evan McKinney, Mingkang Xia, Chao Zhou, Pinlei Lu, Michael Hatridge, Alex K. Jones |
| 2023 | Compression-Aware and Performance-Efficient Insertion Policies for Long-Lasting Hybrid LLCs. Carlos Escuin, Asif Ali Khan, Pablo Ibáñez, Teresa Monreal, Jerónimo Castrillón, Víctor Viñals |
| 2023 | D-Shield: Enabling Processor-side Encryption and Integrity Verification for Secure NVMe Drives. Md Hafizul Islam Chowdhuryy, Myoungsoo Jung, Fan Yao, Amro Awad |
| 2023 | DIMM-Link: Enabling Efficient Inter-DIMM Communication for Near-Memory Processing. Zhe Zhou, Cong Li, Fan Yang, Guangyu Sun |
| 2023 | Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications. Marcelo Orenes-Vera, Esin Tureci, David Wentzlaff, Margaret Martonosi |
| 2023 | DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst |
| 2023 | Duet: Creating Harmony between Processors and Embedded FPGAs. Ang Li, August Ning, David Wentzlaff |
| 2023 | ESD: An ECC-assisted and Selective Deduplication for Encrypted Non-Volatile Main Memory. Chunfeng Du, Suzhen Wu, Jiapeng Wu, Bo Mao, Shengzhe Wang |
| 2023 | EVE: Ephemeral Vector Engines. Khalid Al-Hawaj, Tuan Ta, Nick Cebry, Shady Agwa, Olalekan Afuye, Eric Hall, Courtney Golden, Alyssa B. Apsel, Christopher Batten |
| 2023 | Efficient Distributed Secure Memory with Migratable Merkle Tree. Erhu Feng, Dong Du, Yubin Xia, Haibo Chen |
| 2023 | Efficient Supernet Training Using Path Parallelism. Ying Xu, Long Cheng, Xuyi Cai, Xiaohan Ma, Weiwei Chen, Lei Zhang, Ying Wang |
| 2023 | FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption. Rashmi Agrawal, Leo de Castro, Guowei Yang, Chiraag Juvekar, Rabia Tugce Yazicigil, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Ajay Joshi |
| 2023 | FinePack: Transparently Improving the Efficiency of Fine-Grained Transfers in Multi-GPU Systems. Harini Muthukrishnan, Daniel Lustig, Oreste Villa, Thomas F. Wenisch, David W. Nellans |
| 2023 | FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference. Rishov Sarkar, Stefan Abi-Karam, Yuqi He, Lakshmi Sathidevi, Cong Hao |
| 2023 | FxHENN: FPGA-based acceleration framework for homomorphic encrypted CNN inference. Yilan Zhu, Xinyao Wang, Lei Ju, Shanqing Guo |
| 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 | HIRAC: A Hierarchical Accelerator with Sorting-based Packing for SpGEMMs in DNN Applications. Hesam Shabani, Abhishek Singh, Bishoy Youhana, Xiaochen Guo |
| 2023 | HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. Peiyan Dong, Mengshu Sun, Alec Lu, Yanyue Xie, Kenneth Liu, Zhenglun Kong, Xin Meng, Zhengang Li, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 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 | 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 | 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 | IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023, Montreal, QC, Canada, February 25 - March 1, 2023 |
| 2023 | INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators. Bokyung Kim, Shiyu Li, Hai Li |
| 2023 | ISOSceles: Accelerating Sparse CNNs through Inter-Layer Pipelining. Yifan Yang, Joel S. Emer, Daniel Sánchez |
| 2023 | KRISP: Enabling Kernel-wise RIght-sizing for Spatial Partitioned GPU Inference Servers. Marcus Chow, Ali Jahanshahi, Daniel Wong |
| 2023 | Know Your Enemy To Save Cloud Energy: Energy-Performance Characterization of Machine Learning Serving. Junyeol Yu, Jongseok Kim, Euiseong Seo |
| 2023 | Leveraging Domain Information for the Efficient Automated Design of Deep Learning Accelerators. Chirag Sakhuja, Zhan Shi, Calvin Lin |
| 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 | Logical/Physical Topology-Aware Collective Communication in Deep Learning Training. Jo Sanghoon, Hyojun Son, John Kim |
| 2023 | MERCURY: Accelerating DNN Training By Exploiting Input Similarity. Vahid Janfaza, Kevin Weston, Moein Razavi, Shantanu Mandal, Farabi Mahmud, Alex Hilty, Abdullah Muzahid |
| 2023 | MGC: Multiple-Gray-Code for 3D NAND Flash based High-Density SSDs. Yina Lv, Liang Shi, Qiao Li, Congming Gao, Yunpeng Song, Longfei Luo, Youtao 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 | Market Mechanism-Based User-in-the-Loop Scalable Power Oversubscription for HPC Systems. Md Rajib Hossen, Kishwar Ahmed, Mohammad A. Islam |
| 2023 | Memory-Efficient Hashed Page Tables. Jovan Stojkovic, Namrata Mantri, Dimitrios Skarlatos, Tianyin Xu, Josep Torrellas |
| 2023 | Mitigating GPU Core Partitioning Performance Effects. Aaron Barnes, Fangjia Shen, Timothy G. Rogers |
| 2023 | Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices. Enrico Reggiani, Alessandro Pappalardo, Max Doblas, Miquel Moretó, Mauro Olivieri, Osman Sabri Unsal, Adrián Cristal |
| 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 | Multi-Granularity Shadow Paging with NVM Write Optimization for Crash-Consistent Memory-Mapped I/O. Hongchao Du, Qiao Li, Riwei Pan, Tei-Wei Kuo, Chun Jason Xue |
| 2023 | NOMAD: Enabling Non-blocking OS-managed DRAM Cache via Tag-Data Decoupling. Youngin Kim, Hyeonjin Kim, William J. Song |
| 2023 | NvWa: Enhancing Sequence Alignment Accelerator Throughput via Hardware Scheduling. Yewen Li, Xueqi Li, Ruihao Gao, Wanqi Liu, Guangming Tan |
| 2023 | On Consistency for Bulk-Bitwise Processing-in-Memory. Ben Perach, Ronny Ronen, Shahar Kvatinsky |
| 2023 | OptimStore: In-Storage Optimization of Large Scale DNNs with On-Die Processing. Junkyum Kim, Myeonggu Kang, Yunki Han, Yanggon Kim, Lee-Sup Kim |
| 2023 | ParallelNN: A Parallel Octree-based Nearest Neighbor Search Accelerator for 3D Point Clouds. Faquan Chen, Rendong Ying, Jianwei Xue, Fei Wen, Peilin Liu |
| 2023 | Phloem: Automatic Acceleration of Irregular Applications with Fine-Grain Pipeline Parallelism. Quan M. Nguyen, Daniel Sánchez |
| 2023 | PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator. Shurui Li, Hangbo Yang, Chee Wei Wong, Volker J. Sorger, Puneet Gupta |
| 2023 | Plutus: Bandwidth-Efficient Memory Security for GPUs. Rahaf Abdullah, Huiyang Zhou, Amro Awad |
| 2023 | Poseidon: Practical Homomorphic Encryption Accelerator. Yinghao Yang, Huaizhi Zhang, Shengyu Fan, Hang Lu, Mingzhe Zhang, Xiaowei Li |
| 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 | Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-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 | 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 | Reconciling Selective Logging and Hardware Persistent Memory Transaction. Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin |
| 2023 | Root Crash Consistency of SGX-style Integrity Trees in Secure Non-Volatile Memory Systems. Jianming Huang, Yu Hua |
| 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 | 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 | Safety Hints for HTM Capacity Abort Mitigation. Anirudh Jain, Divya Kiran Kadiyala, Alexandros Daglis |
| 2023 | Scalable and Secure Row-Swap: Efficient and Safe Row Hammer Mitigation in Memory Systems. Jeonghyun Woo, Gururaj Saileshwar, Prashant J. Nair |
| 2023 | SecPB: Architectures for Secure Non-Volatile Memory with Battery-Backed Persist Buffers. Alexander Freij, Huiyang Zhou, Yan Solihin |
| 2023 | Securator: A Fast and Secure Neural Processing Unit. Nivedita Shrivastava, Smruti Ranjan Sarangi |
| 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 | Silo: Speculative Hardware Logging for Atomic Durability in Persistent Memory. Ming Zhang, Yu Hua |
| 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 | SpecFaaS: Accelerating Serverless Applications with Speculative Function Execution. Jovan Stojkovic, Tianyin Xu, Hubertus Franke, Josep Torrellas |
| 2023 | Speculative Register Reclamation. Sanyam Mehta |
| 2023 | Tensor Movement Orchestration in Multi-GPU Training Systems. Shao-Fu Lin, Yi-Jung Chen, Hsiang-Yun Cheng, Chia-Lin Yang |
| 2023 | TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU. Shengyu Fan, Zhiwei Wang, Weizhi Xu, Rui Hou, Dan Meng, Mingzhe Zhang |
| 2023 | The Imitation Game: Leveraging CopyCats for Robust Native Gate Selection in NISQ Programs. Poulami Das, Eric Kessler, Yunong Shi |
| 2023 | Thoth: Bridging the Gap Between Persistently Secure Memories and Memory Interfaces of Emerging NVMs. Xijing Han, James Tuck, Amro Awad |
| 2023 | Trans-FW: Short Circuiting Page Table Walk in Multi-GPU Systems via Remote Forwarding. Bingyao Li, Jieming Yin, Anup Holey, Youtao Zhang, Jun Yang, Xulong Tang |
| 2023 | Turbo: SmartNIC-enabled Dynamic Load Balancing of µs-scale RPCs. Hamed Seyedroudbari, Srikar Vanavasam, Alexandros Daglis |
| 2023 | VAQUERO: A Scratchpad-based Vector Accelerator for Query Processing. Julián Pavón, Iván Vargas Valdivieso, Joan Marimon, Roger Figueras, Francesc Moll, Osman S. Unsal, Mateo Valero, Adrián Cristal |
| 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 | VVQ: Virtualizing Virtual Channel for Cost-Efficient Protocol Deadlock Avoidance. Hans Kasan, John Kim |
| 2023 | ViTALiTy: Unifying Low-rank and Sparse Approximation for Vision Transformer Acceleration with a Linear Taylor Attention. Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin |
| 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 | eNODE: Energy-Efficient and Low-Latency Edge Inference and Training of Neural ODEs. Junkang Zhu, Yaoyu Tao, Zhengya Zhang |
| 2023 | iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen |