| 2023 | A Tensor Marshaling Unit for Sparse Tensor Algebra on General-Purpose Processors. Marco Siracusa, Víctor Soria Pardos, Francesco Sgherzi, Joshua Randall, Douglas J. Joseph, Miquel Moretó Planas, Adrià Armejach |
| 2023 | ACRE: Accelerating Random Forests for Explainability. Andrew McCrabb, Aymen Ahmed, Valeria Bertacco |
| 2023 | ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction. Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid |
| 2023 | AESPA: Asynchronous Execution Scheme to Exploit Bank-Level Parallelism of Processing-in-Memory. Hongju Kal, Chanyoung Yoo, Won Woo Ro |
| 2023 | AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu |
| 2023 | Accelerating Extra Dimensional Page Walks for Confidential Computing. Dong Du, Bicheng Yang, Yubin Xia, Haibo Chen |
| 2023 | Accelerating RTL Simulation with Hardware-Software Co-Design. Fares Elsabbagh, Shabnam Sheikhha, Victor A. Ying, Quan M. Nguyen, Joel S. Emer, Daniel Sánchez |
| 2023 | Affinity Alloc: Taming Not-So Near-Data Computing. Zhengrong Wang, Christopher Liu, Nathan Beckmann, Tony Nowatzki |
| 2023 | ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis. Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie |
| 2023 | Architectural Support for Optimizing Huge Page Selection Within the OS. Aninda Manocha, Zi Yan, Esin Tureci, Juan L. Aragón, David W. Nellans, Margaret Martonosi |
| 2023 | AuRORA: Virtualized Accelerator Orchestration for Multi-Tenant Workloads. Seah Kim, Jerry Zhao, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao |
| 2023 | AutoCC: Automatic Discovery of Covert Channels in Time-Shared Hardware. Marcelo Orenes-Vera, Hyunsung Yun, Nils Wistoff, Gernot Heiser, Luca Benini, David Wentzlaff, Margaret Martonosi |
| 2023 | Branch Target Buffer Organizations. Arthur Perais, Rami Sheikh |
| 2023 | Bucket Getter: A Bucket-based Processing Engine for Low-bit Block Floating Point (BFP) DNNs. Yun-Chen Lo, Ren-Shuo Liu |
| 2023 | CASA: An Energy-Efficient and High-Speed CAM-based SMEM Seeding Accelerator for Genome Alignment. Yi Huang, Lingkun Kong, Dibei Chen, Zhiyu Chen, Xiangyu Kong, Jianfeng Zhu, Konstantinos Mamouras, Shaojun Wei, Kaiyuan Yang, Leibo Liu |
| 2023 | CHERIoT: Complete Memory Safety for Embedded Devices. Saar Amar, David Chisnall, Tony Chen, Nathaniel Wesley Filardo, Ben Laurie, Kunyan Liu, Robert M. Norton, Simon W. Moore, Yucong Tao, Robert N. M. Watson, Hongyan Xia |
| 2023 | CLIP: Load Criticality based Data Prefetching for Bandwidth-constrained Many-core Systems. Biswabandan Panda |
| 2023 | Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen |
| 2023 | Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu |
| 2023 | Clockhands: Rename-free Instruction Set Architecture for Out-of-order Processors. Toru Koizumi, Ryota Shioya, Shu Sugita, Taichi Amano, Yuya Degawa, Junichiro Kadomoto, Hidetsugu Irie, Shuichi Sakai |
| 2023 | CryptoMMU: Enabling Scalable and Secure Access Control of Third-Party Accelerators. Faiz Alam, Hyokeun Lee, Abhishek Bhattacharjee, Amro Awad |
| 2023 | DASH-CAM: Dynamic Approximate SearcH Content Addressable Memory for genome classification. Zuher Jahshan, Itay Merlin, Esteban Garzón, Leonid Yavits |
| 2023 | DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. Shulin Zeng, Zhenhua Zhu, Jun Liu, Haoyu Zhang, Guohao Dai, Zixuan Zhou, Shuangchen Li, Xuefei Ning, Yuan Xie, Huazhong Yang, Yu Wang |
| 2023 | DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao |
| 2023 | Dadu-RBD: Robot Rigid Body Dynamics Accelerator with Multifunctional Pipelines. Yuxin Yang, Xiaoming Chen, Yinhe Han |
| 2023 | Decoupled Vector Runahead. Ajeya Naithani, Jaime Roelandts, Sam Ainsworth, Timothy M. Jones, Lieven Eeckhout |
| 2023 | Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices. Yan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper, Chihun Song, Jinghan Huang, Houxiang Ji, Siddharth Agarwal, Jiaqi Lou, Ipoom Jeong, Ren Wang, Jung Ho Ahn, Tianyin Xu, Nam Sung Kim |
| 2023 | ERASER: Towards Adaptive Leakage Suppression for Fault-Tolerant Quantum Computing. Suhas Vittal, Poulami Das, Moinuddin K. Qureshi |
| 2023 | Efficiently Enabling Block Semantics and Data Updates in DNA Storage. Puru Sharma, Cheng-Kai Lim, Dehui Lin, Yash Pote, Djordje Jevdjic |
| 2023 | Eureka: Efficient Tensor Cores for One-sided Unstructured Sparsity in DNN Inference. Ashish Gondimalla, Mithuna Thottethodi, T. N. Vijaykumar |
| 2023 | Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks. Hyunwuk Lee, Hyungjun Jang, Sungbin Kim, Sungwoo Kim, Wonho Cho, Won Woo Ro |
| 2023 | Fast, Robust and Transferable Prediction for Hardware Logic Synthesis. Ceyu Xu, Pragya Sharma, Tianshu Wang, Lisa Wu Wills |
| 2023 | G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations. Haoyang Zhang, Yirui Eric Zhou, Yuqi Xue, Yiqi Liu, Jian Huang |
| 2023 | GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption. Kaustubh Shivdikar, Yuhui Bao, Rashmi Agrawal, Michael Tian Shen, Gilbert Jonatan, Evelio Mora, Alexander Ingare, Neal Livesay, José L. Abellán, John Kim, Ajay Joshi, David R. Kaeli |
| 2023 | GMX: Instruction Set Extensions for Fast, Scalable, and Efficient Genome Sequence Alignment. Max Doblas, Oscar Lostes-Cazorla, Quim Aguado-Puig, Nick Cebry, Pau Fontova-Musté, Christopher Frances Batten, Santiago Marco-Sola, Miquel Moretó |
| 2023 | Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs. Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko |
| 2023 | HARP: Hardware-Based Pseudo-Tiling for Sparse Matrix Multiplication Accelerator. Jinkwon Kim, Myeongjae Jang, Haejin Nam, Soontae Kim |
| 2023 | Hardware Support for Constant-Time Programming. Yuanqing Miao, Mahmut Taylan Kandemir, Danfeng Zhang, Yingtian Zhang, Gang Tan, Dinghao Wu |
| 2023 | HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. Samuel A. Stein, Sara Sussman, Teague Tomesh, Charles Guinn, Esin Tureci, Sophia Fuhui Lin, Wei Tang, James Ang, Srivatsan Chakram, Ang Li, Margaret Martonosi, Fred Chong, Andrew A. Houck, Isaac L. Chuang, Michael Austin DeMarco |
| 2023 | Heterogeneous Die-to-Die Interfaces: Enabling More Flexible Chiplet Interconnection Systems. Yinxiao Feng, Dong Xiang, Kaisheng Ma |
| 2023 | HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel S. Emer |
| 2023 | How to Kill the Second Bird with One ECC: The Pursuit of Row Hammer Resilient DRAM. Michael Jaemin Kim, Minbok Wi, Jaehyun Park, Seoyoung Ko, Jaeyoung Choi, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn, Eojin Lee |
| 2023 | IDYLL: Enhancing Page Translation in Multi-GPUs via Light Weight PTE Invalidations. Bingyao Li, Yanan Guo, Yueqi Wang, Aamer Jaleel, Jun Yang, Xulong Tang |
| 2023 | Impact of Voltage Scaling on Soft Errors Susceptibility of Multicore Server CPUs. Dimitris Agiakatsikas, George Papadimitriou, Vasileios Karakostas, Dimitris Gizopoulos, Mihalis Psarakis, Camille Bélanger-Champagne, Ewart Blackmore |
| 2023 | Improving Data Reuse in NPU On-chip Memory with Interleaved Gradient Order for DNN Training. Jungwoo Kim, Seonjin Na, Sanghyeon Lee, Sunho Lee, Jaehyuk Huh |
| 2023 | Khronos: Fusing Memory Access for Improved Hardware RTL Simulation. Kexing Zhou, Yun Liang, Yibo Lin, Runsheng Wang, Ru Huang |
| 2023 | Learning to Drive Software-Defined Solid-State Drives. Daixuan Li, Jinghan Sun, Jian Huang |
| 2023 | LogNIC: A High-Level Performance Model for SmartNICs. Zerui Guo, Jiaxin Lin, Yuebin Bai, Daehyeok Kim, Michael M. Swift, Aditya Akella, Ming Liu |
| 2023 | MAD MAcce: Supporting Multiply-Add Operations for Democratizing Matrix-Multiplication Accelerators. Seunghwan Sung, Sujin Hur, Sungwoo Kim, Dongho Ha, Yunho Oh, Won Woo Ro |
| 2023 | MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption. Rashmi Agrawal, Leo de Castro, Chiraag Juvekar, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Ajay Joshi |
| 2023 | MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Inference. Renhao Fan, Yikai Cui, Qilin Chen, Mingyu Wang, Youhui Zhang, Weimin Zheng, Zhaolin Li |
| 2023 | MEGA Evolving Graph Accelerator. Chao Gao, Mahbod Afarin, Shafiur Rahman, Nael B. Abu-Ghazaleh, Rajiv Gupta |
| 2023 | MVC: Enabling Fully Coherent Multi-Data-Views through the Memory Hierarchy with Processing in Memory. Daichi Fujiki |
| 2023 | McCore: A Holistic Management of High-Performance Heterogeneous Multicores. Jaewon Kwon, Yongju Lee, Hongju Kal, Minjae Kim, Youngsok Kim, Won Woo Ro |
| 2023 | Memento: Architectural Support for Ephemeral Memory Management in Serverless Environments. Ziqi Wang, Kaiyang Zhao, Pei Li, Andrew Jacob, Michael Kozuch, Todd C. Mowry, Dimitrios Skarlatos |
| 2023 | Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making. Gerasimos Gerogiannis, Josep Torrellas |
| 2023 | NAS-SE: Designing A Highly-Efficient In-Situ Neural Architecture Search Engine for Large-Scale Deployment. Qiyu Wan, Lening Wang, Jing Wang, Shuaiwen Leon Song, Xin Fu |
| 2023 | NeuroLPM - Scaling Longest Prefix Match Hardware with Neural Networks. Alon Rashelbach, Igor Lima de Paula, Mark Silberstein |
| 2023 | Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads. Ying Li, Yifan Sun, Adwait Jog |
| 2023 | Persistent Processor Architecture. Jianping Zeng, Jungi Jeong, Changhee Jung |
| 2023 | Phantom: Exploiting Decoder-detectable Mispredictions. Johannes Wikner, Daniël Trujillo, Kaveh Razavi |
| 2023 | Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads. Changxi Liu, Yifan Sun, Trevor E. Carlson |
| 2023 | Pipestitch: An energy-minimal dataflow architecture with lightweight threads. Nathan Serafin, Souradip Ghosh, Harsh Desai, Nathan Beckmann, Brandon Lucia |
| 2023 | PockEngine: Sparse and Efficient Fine-tuning in a Pocket. Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han |
| 2023 | Point Cloud Acceleration by Exploiting Geometric Similarity. Cen Chen, Xiaofeng Zou, Hongen Shao, Yangfan Li, Kenli Li |
| 2023 | Predicting Future-System Reliability with a Component-Level DRAM Fault Model. Jeageun Jung, Mattan Erez |
| 2023 | Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2023, Toronto, ON, Canada, 28 October 2023 - 1 November 2023 |
| 2023 | QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features. Siwei Tan, Congliang Lang, Liang Xiang, Shudi Wang, Xinghui Jia, Ziqi Tan, Tingting Li, Jieming Yin, Yongheng Shang, Andre Python, Liqiang Lu, Jianwei Yin |
| 2023 | QuComm: Optimizing Collective Communication for Distributed Quantum Computing. Anbang Wu, Yufei Ding, Ang Li |
| 2023 | RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie |
| 2023 | ReCon: Efficient Detection, Management, and Use of Non-Speculative Information Leakage. Pavlos Aimoniotis, Amund Bergland Kvalsvik, Xiaoyue Chen, Magnus Själander, Stefanos Kaxiras |
| 2023 | ReFOCUS: Reusing Light for Efficient Fourier Optics-Based Photonic Neural Network Accelerator. Shurui Li, Hangbo Yang, Chee Wei Wong, Volker J. Sorger, Puneet Gupta |
| 2023 | Rigorous Evaluation of Computer Processors with Statistical Model Checking. Filip Mazurek, Arya Tschand, Yu Wang, Miroslav Pajic, Daniel J. Sorin |
| 2023 | SUSHI: Ultra-High-Speed and Ultra-Low-Power Neuromorphic Chip Using Superconducting Single-Flux-Quantum Circuits. Zeshi Liu, Shuo Chen, Peiyao Qu, Huanli Liu, Minghui Niu, Liliang Ying, Jie Ren, Guangming Tang, Haihang You |
| 2023 | SecureLoop: Design Space Exploration of Secure DNN Accelerators. Kyungmi Lee, Mengjia Yan, Joel S. Emer, Anantha P. Chandrakasan |
| 2023 | Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI. Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen |
| 2023 | Simultaneous and Heterogenous Multithreading. Kuan-Chieh Hsu, Hung-Wei Tseng |
| 2023 | Snake: A Variable-length Chain-based Prefetching for GPUs. Saba Mostofi, Hajar Falahati, Negin Mahani, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad |
| 2023 | Space Microdatacenters. Nathaniel Bleier, Muhammad Husnain Mubarik, Gary R. Swenson, Rakesh Kumar |
| 2023 | Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane |
| 2023 | Spatula: A Hardware Accelerator for Sparse Matrix Factorization. Axel Feldmann, Daniel Sánchez |
| 2023 | Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping. Adiwena Putra, Prasetiyo, Yi Chen, John Kim, Joo-Young Kim |
| 2023 | SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen |
| 2023 | SuperBP: Design Space Exploration of Perceptron-Based Branch Predictors for Superconducting CPUs. Haipeng Zha, Swamit Tannu, Murali Annavaram |
| 2023 | Supporting Energy-based Learning with an Ising Machine substrate: a Case Study on RBM. Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang |
| 2023 | SweepCache: Intermittence-Aware Cache on the Cheap. Yuchen Zhou, Jianping Zeng, Jungi Jeong, Jongouk Choi, Changhee Jung |
| 2023 | Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui |
| 2023 | Systems Architecture for Quantum Random Access Memory. Shifan Xu, Connor T. Hann, Ben Foxman, Steven M. Girvin, Yongshan Ding |
| 2023 | TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization. Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie |
| 2023 | Tailors: Accelerating Sparse Tensor Algebra by Overbooking Buffer Capacity. Zi Yu Xue, Yannan Nellie Wu, Joel S. Emer, Vivienne Sze |
| 2023 | TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators. Nandeeka Nayak, Toluwanimi O. Odemuyiwa, Shubham Ugare, Christopher W. Fletcher, Michael Pellauer, Joel S. Emer |
| 2023 | TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. Size Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia, Guangyu Sun, Runsheng Wang, Yun Liang |
| 2023 | TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han |
| 2023 | Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane. Jinyi Deng, Xinru Tang, Jiahao Zhang, Yuxuan Li, Linyun Zhang, Boxiao Han, Hongjun He, Fengbin Tu, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin |
| 2023 | Treelet Prefetching For Ray Tracing. Yuan-Hsi Chou, Tyler Nowicki, Tor M. Aamodt |
| 2023 | UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration. Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun |
| 2023 | Uncore Encore: Covert Channels Exploiting Uncore Frequency Scaling. Yanan Guo, Dingyuan Cao, Xin Xin, Youtao Zhang, Jun Yang |
| 2023 | Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings. Konstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, F. Nisa Bostanci, Can Firtina, Rachata Ausavarungnirun, Rakesh Kumar, Nastaran Hajinazar, Mohammad Sadrosadati, Nandita Vijaykumar, Onur Mutlu |
| 2023 | Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache Resources. Konstantinos Kanellopoulos, Hong Chul Nam, Nisa Bostanci, Rahul Bera, Mohammad Sadrosadati, Rakesh Kumar, Davide Basilio Bartolini, Onur Mutlu |
| 2023 | Warming Up a Cold Front-End with Ignite. David Schall, Andreas Sandberg, Boris Grot |
| 2023 | XFM: Accelerated Software-Defined Far Memory. Neel Patel, Amin Mamandipoor, Derrick Quinn, Mohammad Alian |
| 2023 | δLTA: Decoupling Camera Sampling from Processing to Avoid Redundant Computations in the Vision Pipeline. Raúl Taranco, José-María Arnau, Antonio González |