| 2023 | 41st IEEE International Conference on Computer Design, ICCD 2023, Washington, DC, USA, November 6-8, 2023 |
| 2023 | A Compressed and Accurate Sparse Deep Learning-based Workload-Aware Timing Error Model. Styliani Tompazi, Georgios Karakonstantis |
| 2023 | A Cost-Efficient Failure-Tolerant Scheme for Distributed DNN Training. Menglei Chen, Yu Hua, Rong Bai, Jianming Huang |
| 2023 | A DSP shared is a DSP earned: HLS Task-Level Multi-Pumping for High-Performance Low-Resource Designs. Giovanni Brignone, Mihai T. Lazarescu, Luciano Lavagno |
| 2023 | ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators. Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst |
| 2023 | ACET: An Adaptive Clock Scheme Exploiting Comprehensive Timing Slack for Reconfigurable Processors. Shuya Ji, Weidong Yang, Jianfei Jiang, Naifeng Jing, Weiguang Sheng, Ang Li, Qin Wang |
| 2023 | Accelerating Persistent Hash Indexes via Reducing Negative Searches. Renzhi Xiao, Hong Jiang, Dan Feng, Yuchong Hu, Wei Tong, Kang Liu, Yucheng Zhang, Xueliang Wei, Zhengtao Li |
| 2023 | Adaptive Reconvergence-driven AIG Rewriting via Strategy Learning. Liwei Ni, Zonglin Yang, Jiaxi Zhang, Junfeng Liu, Huawei Li, Biwei Xie, Xinquan Li |
| 2023 | AiMap: Learning to Improve Technology Mapping for ASICs via Delay Prediction. Junfeng Liu, Liwei Ni, Xingquan Li, Min Zhou, Lei Chen, Xing Li, Qinghua Zhao, Shuai Ma |
| 2023 | Alleviating Transfer Latency in DataFlow Accelerator for DSP Applications. Haibin Wu, Wenming Li, Zhihua Fan, Zhen Wang, Tianyu Liu, JunYing Huang, Shengzhong Tang, Yanhuan Liu, Kunming Zhang, Xiaochun Ye, Dongrui Fan |
| 2023 | An Effective and Balanced Storage Extension Approach for Sharding Blockchain Systems. Tingyu Fan, Xiulong Liu, Baochao Chen, Wenyu Qu |
| 2023 | ApproxCNN: Evaluation Of CNN With Approximated Layers Using In-Exact Multipliers. Bindu G. Gowda, S. N. Raghava, Prashanth H. C., Pratyush Nandi, Madhav Rao |
| 2023 | Architectural Contracts for Safe Speculation. Franz A. Fuchs, Jonathan Woodruff, Peter Rugg, Marno van der Maas, Alexandre Joannou, Alexander Richardson, Jessica Clarke, Nathaniel Wesley Filardo, Brooks Davis, John Baldwin, Peter G. Neumann, Simon W. Moore, Robert N. M. Watson |
| 2023 | BICEP: Exploiting Bitline Inversion for Efficient Operation-Unit-Based Compute-in-Memory Architecture: No Retraining Needed! Yun-Chen Lo, Chia-Chun Wang, Ren-Shuo Liu |
| 2023 | BIRD: A Lightweight and Adaptive Compressor for Communication-Efficient Distributed Learning Using Tensor-wise Bi-Random Sampling. Donglei Wu, Weihao Yang, Cai Deng, Xiangyu Zou, Shiyi Li, Wen Xia |
| 2023 | Beyond Compression Ratio: A Throughput Analysis of Memory Compression Techniques for GPUs. Manuel Renz, Sohan Lal |
| 2023 | BlzFS: Crash Consistent Log-structured File System Based on Byte-loggable Zone for ZNS SSD. Wenjie Qi, Zhipeng Tan, Ziyue Zhang, Jing Zhang, Chao Yu, Ying Yuan, Shikai Tan |
| 2023 | BrainTTA: A 28.6 TOPS/W Compiler Programmable Transport-Triggered NN SoC. Maarten J. Molendijk, Floran A. M. de Putter, Manil Dev Gomony, Pekka Jääskeläinen, Henk Corporaal |
| 2023 | CNN Inference Accelerators with Adjustable Feature Map Compression Ratios. Yu-Chih Tsai, Chung-Yueh Liu, Chia-Chun Wang, Tsen-Wei Hsu, Ren-Shuo Liu |
| 2023 | Cerasure: Fast Acceleration Strategies For XOR-Based Erasure Codes. Tianyang Niu, Min Lyu, Wei Wang, Qiliang Li, Yinlong Xu |
| 2023 | Conveyor: Towards Asynchronous Dataflow in Systolic Array to Exploit Unstructured Sparsity. Seongwook Kim, Gwangeun Byeon, Sihyung Kim, Hyungjin Kim, Seokin Hong |
| 2023 | CostFM: A High Cost-Performance Fingerprint Management Mechanism for Shared SSDs. Hao Liu, Mengting Lu, Fang Wang, Wenpeng He |
| 2023 | DCR: Decomposition-Aware Column Re-Mapping for Stuck-At-Fault Tolerance in ReRAM Arrays. Hyeonsu Bang, Kang Eun Jeon, Johnny Rhe, Jong Hwan Ko |
| 2023 | DEQ: Dynamic Element-wise Quantization for Efficient Attention Architecture. Xuhang Wang, Zhuoran Song, Qiyue Huang, Xiaoyao Liang |
| 2023 | DFGC: DFG-aware NoC Control based on Time Stamp Prediction for Dataflow Architecture. Tianyu Liu, Wenming Li, Zhihua Fan |
| 2023 | Delay-Driven Physically-Aware Logic Synthesis with Informed Search. Linyu Zhu, Xinfei Guo |
| 2023 | Efficient RISC-V-on-x64 Floating Point Simulation. Niko Zurstraßen, Nils Bosbach, Jan Moritz Joseph, Lukas Jünger, Jan Henrik Weinstock, Rainer Leupers |
| 2023 | Enabling Encrypted Delta Compression for Outsourced Storage Systems via Preserving Similarity. Chuang Gan, Yuchong Hu, Leyan Zhao, Xin Zhao, Pengyu Gong, Wenhao Zhang, Lin Wang, Dan Feng |
| 2023 | Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation. Peiyi Li, Ji Liu, Hrushikesh Pramod Patil, Paul D. Hovland, Huiyang Zhou |
| 2023 | Execute on Clear (EoC): Enhancing Security for Unsafe Speculative Instructions by Precise Identification and Safe Execution. Xiaoni Meng, Qiusong Yang, Yiwei Ci, Pei Zhao, Shan Zhao, Mingshu Li |
| 2023 | Exploiting and Enhancing Computation Latency Variability for High-Performance Time-Domain Computing-in-Memory Neural Network Accelerators. Chia-Chun Wang, Yun-Chen Lo, Jun-Shen Wu, Yu-Chih Tsai, Chia-Cheng Chang, Tsen-Wei Hsu, Min-Wei Chu, Chuan-Yao Lai, Ren-Shuo Liu |
| 2023 | FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning. Sofiane Bouaziz, Hadjer Benmeziane, Youcef Imine, Leila Hamdad, Smaïl Niar, Hamza Ouarnoughi |
| 2023 | FM-P2L: An Algorithm Hardware Co-design of Fixed-Point MSBs with Power-of-2 LSBs in CNN Accelerators. Jun-Shen Wu, Ren-Shuo Liu |
| 2023 | FlashDAM: Flexible I/O Throttling for the User Experience of Mobile Systems. Changlong Li, Chao Wang, Xuehai Zhou, Edwin H.-M. Sha |
| 2023 | FlexGM: An Adaptive Runtime System to Accelerate Graph Matching Networks on GPUs. Yue Dai, Xulong Tang, Youtao Zhang |
| 2023 | FlexZNS: Building High-Performance ZNS SSDs with Size-Flexible and Parity-Protected Zones. Yu Wang, You Zhou, Zhonghai Lu, Xiaoyi Zhang, Kun Wang, Feng Zhu, Shu Li, Changsheng Xie, Fei Wu |
| 2023 | GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He |
| 2023 | GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis. Chenfeng Zhao, Zehao Dong, Yixin Chen, Xuan Zhang, Roger D. Chamberlain |
| 2023 | GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis. Chenyang Lv, Ziling Wei, Weikang Qian, Junjie Ye, Chang Feng, Zhezhi He |
| 2023 | HF-LDPC: HLS-friendly QC-LDPC FPGA Decoder with High Throughput and Flexibility. Yifan Zhang, Qiang Cao, Shaohua Wang, Jie Yao, Hong Jiang |
| 2023 | Hardware-Software Co-Design for Content-Based Sparse Attention. Rui Tang, Xiaoyu Zhang, Rui Liu, Zhejian Luo, Xiaoming Chen, Yinhe Han |
| 2023 | Heart: a Scalable, High-performance ART for Persistent Memory. Liangxu Nie, Shengan Zheng, Bowen Zhang, Jinyan Xu, Linpeng Huang |
| 2023 | HiSEP-Q: A Highly Scalable and Efficient Quantum Control Processor for Superconducting Qubits. Xiaorang Guo, Kun Qin, Martin Schulz |
| 2023 | HyAcc: A Hybrid CAM-MAC RRAM-based Accelerator for Recommendation Model. Xuan Zhang, Zhuoran Song, Xing Li, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang |
| 2023 | HyF2FS: A Filesystem to Fully Exploit the Parallelism of Hybrid Storage. Jintong Zhang, Jianxi Chen, Kezheng Liu, Yongkang Zhuo, Panfei Yuan |
| 2023 | HyperMetric: Robust Hyperdimensional Computing on Error-prone Memories using Metric Learning. Weihong Xu, Viji Swaminathan, Sumukh Pinge, Sean Fuhrman, Tajana Rosing |
| 2023 | ICON: An IR Drop Compensation Method at OU Granularity with Low Overhead for eNVM-based Accelerators. Jinpeng Liu, Wei Tong, Bing Wu, Huan Cheng, Chengning Wang |
| 2023 | ImprLM: An Improved Logarithmic Multiplier Design Approach via Iterative Linear-Compensation and Modified Dynamic Segment. Shangshang Yao, Li Shen |
| 2023 | Input-Aware Flow-Based In-Memory Computing. Suraj Singireddy, Muhammad Rashedul Haq Rashed, Sven Thijssen, Rickard Ewetz, Sumit Kumar Jha |
| 2023 | K8sES: Optimizing Kubernetes with Enhanced Storage Service-Level Objectives. Hao Wen, Zhichao Cao, Bingzhe Li, David H. C. Du, Ayman Abouelwafa, Doug Voigt, Shiyong Liu, Jim Diehl, Fenggang Wu |
| 2023 | KeSCo: Compiler-based Kernel Scheduling for Multi-task GPU Applications. Zejia Lin, Zewei Mo, Xuanteng Huang, Xianwei Zhang, Yutong Lu |
| 2023 | Leveraging Firmware Reverse Engineering for Stealthy Sensor Attacks via Binary Modification. Sutej Kulkarni, Ryan Tsang, Asmita, Houman Homayoun, Soheil Salehi |
| 2023 | LifetimeKV: Narrowing the Lifetime Gap of SSTs in LSMT-based KV Stores for ZNS SSDs. Biyong Liu, Yuan Xia, Xueliang Wei, Wei Tong |
| 2023 | Locality-aware Speculative Cache for Fast Partial Updates in Erasure-Coded Cloud Clusters. Hai Zhou, Yuchong Hu, Dan Feng, Wei Wang, Huadong Huang |
| 2023 | Low-Latency and Scalable Full-path Indexing Metadata Service for Distributed File Systems. Chao Dong, Fang Wang, Yuxin Yang, Mengya Lei, Jianshun Zhang, Dan Feng |
| 2023 | MNHOKA - PPA Efficient M-Term Non-Homogeneous Hybrid Overlap-free Karatsuba Multiplier for GF (2 Gogireddy Ravi Kiran Reddy, Sanampudi Gopala Krishna Reddy, D. R. Vasanthi, Madhav Rao |
| 2023 | MindCrypt: The Brain as a Random Number Generator for SoC-Based Brain-Computer Interfaces. Guy Eichler, Biruk B. Seyoum, Kuan-Lin Chiu, Luca P. Carloni |
| 2023 | MixRec: Orchestrating Concurrent Recommendation Model Training on CPU-GPU platform. Jiazhi Jiang, Rui Tian, Jiangsu Du, Dan Huang, Yutong Lu |
| 2023 | Model Checking TileLink Cache Coherence Protocols By Murphi. Zimin Li, Yongjian Li, Kaifan Wang, Kun Ma, Shizhen Yu |
| 2023 | Morpheus: An Adaptive DRAM Cache with Online Granularity Adjustment for Disaggregated Memory. Xu Zhang, Tianyue Lu, Yisong Chang, Ke Zhang, Mingyu Chen |
| 2023 | MultiFuse: Efficient Cross Layer Fusion for DNN Accelerators with Multi-level Memory Hierarchy. Chia-Wei Chang, Jing-Jia Liou, Chih-Tsun Huang, Wei-Chung Hsu, Juin-Ming Lu |
| 2023 | NTTFusion: Efficient Number Theoretic Transform Acceleration on GPUs. Zhiwei Wang, Peinan Li, Rui Hou, Dan Meng |
| 2023 | Offline and Online Algorithms for Cache Allocation with Monte Carlo Tree Search and a Learned Model. Yibin Gu, Hua Wang, Man Luo, Jingyu Tang, Ke Zhou |
| 2023 | PANG: A Pattern-Aware GCN Accelerator for Universal Graphs. Yibo Du, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li, Yinhe Han |
| 2023 | PMA: A Persistent Memory Allocator with High Efficiency and Crash Consistency Guarantee. Xiangyu Xiang, Yu Hua, Hao Xu |
| 2023 | PSQ: An Automatic Search Framework for Data-Free Quantization on PIM-based Architecture. Fangxin Liu, Ning Yang, Li Jiang |
| 2023 | Persimmon: an append-only ZNS-first filesystem. Devashish R. Purandare, Sam Schmidt, Ethan L. Miller |
| 2023 | Polyform: A Versatile Architecture for Multi-DNN Execution via Spatial and Temporal Acceleration. Lingxiang Yin, Amir Ghazizadeh, Shilin Tian, Ahmed Louri, Hao Zheng |
| 2023 | PrSpMV: An Efficient Predictable Kernel for SpMV. Gelin Fu, Tian Xia, Shaoru Qu, Zhongpei Luo, Shuyu Li, Pengyu Cheng, Runfan Guo, Yitong Ding, Pengju Ren |
| 2023 | Prediction-Guided Metadata Backup for Improving Lifetime on Flash-based Swap. Taejoon Song, Junehyung Kim, Myeongseon Kim, Youngjin Kim |
| 2023 | REMU: Enabling Cost-Effective Checkpointing and Deterministic Replay in FPGA-based Emulation. Yuxiao Chen, Yisong Chang, Ke Zhang, Mingyu Chen, Yungang Bao |
| 2023 | RWORT: A Read and Write Optimized Radix Tree for Persistent Memory. Jinlei Hu, Zijie Wei, Jianxi Chen, Dan Feng |
| 2023 | Re-compact: Structured Pruning and SpMM Kernel Co-design for Accelerating DNNs on GPUs. Yuling Zhang, Ao Ren, Xianzhang Chen, Qiu Lin, Yujuan Tan, Duo Liu |
| 2023 | RealArch: A Real-Time Scheduler for Mapping Multi-Tenant DNNs on Multi-Core Accelerators. Xuhang Wang, Zhuoran Song, Xiaoyao Liang |
| 2023 | Releasing the Potential of Tensor Core for Unstructured SpMM using Tiled-CSR Format. Zeyu Xue, Mei Wen, Zhaoyun Chen, Yang Shi, Minjin Tang, Jianchao Yang, Zhongdi Luo |
| 2023 | ResCheck: Resilient Checkpointing for Energy Harvesting Systems. Keni Qiu, Chuting Xu, Kunyu Zhou, Dehui Qiu |
| 2023 | Resonant Compute-In-Memory (rCIM) 10T SRAM Macro for Boolean Logic. Dhandeep Challagundla, Ignatius Bezzam, Biprangshu Saha, Riadul Islam |
| 2023 | Revitalizing Buffered I/O: Optimizing Page Reclaim and I/O Throttling. Jongseok Kim, Chanu Yu, Euiseong Seo |
| 2023 | RunSAFER: A Novel Runtime Fault Detection Approach for Systolic Array Accelerators. Eleonora Vacca, Giorgio Ajmone, Luca Sterpone |
| 2023 | SFDoP: A Scalable Fused BFloat16 Dot-Product Architecture for DNN. Jing Zhang, Hongbing Tan, Libo Huang |
| 2023 | SMRTS: A Performance and Cost-Effectiveness Optimized SSD-SMR Tiered File System with Data Deduplication. Zhichao Cao, Hao Wen, Fenggang Wu, David H. C. Du |
| 2023 | STAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs. Jiawen Wang, Quan Chen, Deze Zeng, Zhuo Song, Chen Chen, Minyi Guo |
| 2023 | Small Footprint 6T-SRAM Design with MIV-Transistor Utilization in M3D-IC Technology. Madhava Sarma Vemuri, Umamaheswara Rao Tida |
| 2023 | Snapshot: Fast, Userspace Crash Consistency for CXL and PM Using msync. Suyash Mahar, Mingyao Shen, Terence Kelly, Steven Swanson |
| 2023 | Tailoring CUTLASS GEMM using Supervised Learning. Yongseung Yu, Donghyun Son, Younghyun Lee, Sunghyun Park, Giha Ryu, Myeongjin Cho, Jiwon Seo, Yongjun Park |
| 2023 | Towards Quantized Stochastic Computing by Leveraging Reduced Precision Binary Numbers through Bit Truncation. Donghui Lee, Yongtae Kim |
| 2023 | Transcend Adversarial Examples: Diversified Adversarial Attacks to Test Deep Learning Model. Wei Kong |
| 2023 | Turn Waste Into Wealth: Alleviating Read/Write Interference in ZNS SSDs. Weilin Zhu, Wei Tong |
| 2023 | ViTframe: Vision Transformer Acceleration via Informative Frame Selection for Video Recognition. Chunyu Qi, Zilong Li, Zhuoran Song, Xiaoyao Liang |