ICCD C

101 papers

YearTitle / Authors
202442nd IEEE International Conference on Computer Design, ICCD 2024, Milan, Italy, November 18-20, 2024
2024A Joint Optimization of Buffer and Splitter Insertion for Phase-Skipping Adiabatic Quantum - Flux - Parametron Circuits.
Robert S. Aviles, Peter A. Beerel
2024A Methodology for Fast and Efficient ML-Based Power Modeling.
Caaliph Andriamisaina, Kods Trabelsi, Pierre-Guillaume Le Guay
2024A Prototype-Based Framework to Design Scalable Heterogeneous SoCs with Fine-Grained DFS.
Gabriele Montanaro, Andrea Galimberti, Davide Zoni
2024A Quantum Method to Match Vector Boolean Functions using Simon's Solver.
Marco Venere, Alessandro Barenghi, Gerardo Pelosi
2024A Semi Black-Box Adversarial Bit- Flip Attack with Limited DNN Model Information.
Behnam Ghavami, Mani Sadati, Mohammad Shahidzadeh, Lesley Shannon, Steve Wilton
2024APE-FV: Concolic Testing for RTL Functional Verification Using Adaptive Path Exploration.
Ziyue Zheng, Xiangchen Meng, Yangdi Lyu
2024AceMiner: Accelerating Graph Pattern Matching using PIM with Optimized Cache System.
Liang Yan, Xiaoyang Lu, Xiaoming Chen, Sheng Xu, Xingqi Zou, Yinhe Han, Xian-He Sun
2024Advanced Dynamic Scalarisation for RISC-V GPGPUs.
Matthew Naylor, Alexandre Joannou, A. Theodore Markettos, Paul Metzger, Simon W. Moore, Timothy M. Jones
2024AirGun: Adaptive Granularity Quantization for Accelerating Large Language Models.
Sungbin Kim, Hyunwuk Lee, Sungwoo Kim, Cheolhwan Kim, Won Woo Ro
2024AutoSparse: A Source-to-Source Format and Schedule Auto- Tuning Framework for Sparse Tensor Program.
Xiangjun Qu, Lei Gong, Wenqi Lou, Qianyu Cheng, Xianglan Chen, Chao Wang, Xuehai Zhou
2024AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs.
Mingzhe Gao, Jieru Zhao, Zhe Lin, Wenchao Ding, Xiaofeng Hou, Yu Feng, Chao Li, Minyi Guo
2024Blink: Breaking Parallel Implementation of Crystals-Kyber with Side-Channel Attack.
Jian Wang, Weiqiong Cao, Hua Chen, Haoyuan Li
2024CCacheSim: A Circuit-Architecture Cross-Level Simulation Framework for SRAM-Based in-Cache Computing System Evaluation.
Baiqing Zhong, Mingyu Wang, Yicong Zhang, Xiaojie Li, Zhiyi Yu
2024CacheTrimmer: Adaptive Cache File Trimming for Optimized Performance and Lifetime on Mobile Devices.
Yi Zhang, Yunpeng Song, Wentong Li, Yiyang Huang, Dingcui Yu, Mengyang Ma, Liang Shi
2024ChameSC: Virtualizing Superscalar Core of a SIMD Architecture for Vector Memory Access.
Zhongzhu Pu, Guangda Zhang, Tiejian Zhang, Chen Zhang, Youhui Zhang, Xia Zhao
2024ChaoSen: Security Enhancement of Image Sensor through in-Sensor Chaotic Computing.
Nedasadat Taheri, Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi
2024Co-Designing a 3D Transformation Accelerator for Versal-Based Image Registration.
Paolo Salvatore Galfano, Giuseppe Sorrentino, Eleonora D'Arnese, Davide Conficconi
2024CoPIM: A Collaborative Scheduling Framework for Commodity Processing-in-memory Systems.
Shunchen Shi, Xueqi Li, Zhaowu Pan, Peiheng Zhang, Ninghui Sun
2024Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization.
Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari, Lukas Cavigelli
2024Dual-Axis ECC: Vertical and Horizontal Error Correction for Storage and Transfer Errors.
Giyong Jung, Hee Ju Na, Sang-Hyo Kim, Jungrae Kim
2024EN-T: Optimizing Tensor Computing Engines Performance via Encoder-Based Methodology.
Qizhe Wu, Yuchen Gui, Zhichen Zeng, Xiaotian Wang, Huawen Liang, Xi Jin
2024Early: An Importance-Aware Early Firing and Exit for SNN Acceleration.
Xuan Zhang, Zhuoran Song, Peng Zhou, Xing Li, Xueyuan Liu, Xiaolong Lin, Zhezhi He, Li Jiang, Naifeng Jing, Xiaoyao Liang
2024Efficient Forward-Only Training for Brain-Inspired Hyperdimensional Computing.
Hyunsei Lee, Jiseung Kim, Seohyun Kim, Hyukjun Kwon, Mohsen Imani, Ilhong Suh, Yeseong Kim
2024Efficient Microprocessor Design Space Exploration via Space Partitioning.
Zijun Jiang, Yangdi Lyu
2024Elastic EDA: Auto-Scaling Cloud Resources for EDA Tasks via Learning-based Approaches.
Linyu Zhu, Xingyu Ma, Shaogang Hao, Yushan Pan, Xinfei Guo
2024Ensuring the Accuracy of CNN Accelerators Supplied at Ultra-Low Voltage.
Yamilka Toca-Díaz, Ruben Gran Tejero, Alejandro Valero
2024Extending RISC-V for Efficient Overflow Recovery in Mixed-Precision Computations.
Luca Bertaccini, Siyuan Shen, Torsten Hoefler, Luca Benini
2024FastMatch: Enhancing Data Pipeline Efficiency for Accelerated Distributed Training.
Jianchang Su, Masoud Rahimi Jafari, Yifan Zhang, Wei Zhang
2024Fine-Grained Shared Cache Interference Analysis Using Basic Block's Execution Time.
Yixuan Zhu, Wenqi Lou, Yinkang Gao, Binze Jiang, Xiaohang Gong, Xi Li
2024FloatMax: An Efficient Accelerator for Transformer-Based Models Exploiting Tensor-Wise Adaptive Floating-Point Quantization.
Seoho Chung, Kwangrae Kim, Soomin Rho, Chanhoon Kim, Ki-Seok Chung
2024GCC: Optimizing Space Efficiency and Read Latency of SSDs with Workload-Aware Garbage Collection Aided Compression.
Linhui Liu, Yunfei Gu, Chenhao Zhu, Chentao Wu, Jie Li, Minyi Guo
2024Global and Local Attention-Based Inception U-Net for Static IR Drop Prediction.
Yilu Chen, Zhijie Cai, Min Wei, Zhifeng Lin, Jianli Chen
2024HAp-FT: A Hybrid Approximate Fault Tolerance Framework for DNN Accelerator.
Xiaohui Wei, Chenyang Wang, Zeyu Guan, Fengyi Li, Hengshan Yue
2024HEncode: A Highly Modularized and Efficient FPGA QC-LDPC Encoder using High Level Synthesis.
Jiawei Yang, Shaohua Wang, Xiangrui Yang, Yifan Zhang, Qiang Cao, Jie Yao, Xiaodi Tan, Xiao Lin
2024HOLES: Boosting Large Language Models Efficiency with Hardware-Friendly Lossless Encoding.
Fangxin Liu, Ning Yang, Zhiyan Song, Zongwu Wang, Li Jiang
2024HPA: A Hybrid Data Flow for PIM Architectures.
Sheng Ma, Yunping Zhao, Yuhua Tang, Yi Dai
2024Hardware Cache Locking for All Memory Updates.
Ashkan Asgharzadeh, Eduardo José Gómez-Hernández, Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros
2024Hermes: Memory-Efficient Pipeline Inference for Large Models on Edge Devices.
Xueyuan Han, Zinuo Cai, Yichu Zhang, Chongxin Fan, Junhan Liu, Ruhui Ma, Rajkumar Buyya
2024HeroSDK: Streamlining Heterogeneous RISC-V Accelerated Computing from Embedded to High-Performance Systems.
Cyril Koenig, Björn Forsberg, Luca Benini
2024Hound: Locating Cryptographic Primitives in Desynchronized Side-Channel Traces using Deep-Learning.
Davide Galli, Giuseppe Chiari, Davide Zoni
2024ISVDA: An in Storage Processing Accelerator for Visual Data Analysis.
Zhenhua Zhao, Zhaoyan Shen, Xiaojun Cai
2024Integrating Branching and Pruning for Efficient Hyperdimensional Computing.
Jing Liu, Zhiqian Guan, Di Liu, Shengfa Miao, Fei Dai
2024Interference-Aware DNN Serving on Heterogeneous Processors in Edge Systems.
Yeonjae Kim, Igjae Kim, Kwanghoon Choi, Jeongseob Ahn, Jongse Park, Jaehyuk Huh
2024Interpretable Risk-aware Access Control for Spark: Blocking Attack Purpose Behind Actions.
Wenbo Wang, Tao Xue, Shuailou Li, Zhaoyang Wang, Boyang Zhang, Yu Wen
2024LBZ: A Lightweight Block Device for Supporting F2FS on ZNS SSD.
Yongpeng Yang, Dejun Jiang, Bo Jiang, Hao-Chiang Hsu, Liang Peng, Zifeng Yang
2024LCKV: Learner-Cleaner Optimized Adaptive Key-Value Separated LSM-Tree Store.
Mingxuan Liu, Jianhua Gu, Tianhai Zhao
2024LLM - TG: Towards Automated Test Case Generation for Processors Using Large Language Models.
Yifei Deng, Renzhi Chen, Chao Xiao, Zhijie Yang, Yuanfeng Luo, Jingyue Zhao, Na Li, Zhong Wan, Yongbao Ai, Huadong Dai, Lei Wang
2024LVLDPC: Intra-Layer Variation Aware LDPC Coding for 3D TLC NAND Flash Memory.
Lanlan Cui, Meng Zhang, Fei Wu
2024MIST: Efficient Mixed-Precision Preconditioning Through Iterative Sparse- Triangular Solver Design.
Haoyuan Zhang, Yidong Chen, Wenpeng Ma, Wu Yuan, Jian Zhang, Zhonghua Lu
2024MOSQ: Accelerating Classical Simulation of UCCSD Ansatz Circuits using Merged Operation.
Seungwoo Choi, Enhyeok Jang, Youngmin Kim, Won Woo Ro
2024MOTPE/D: Hardware and Algorithm Co-design for Reconfigurable Neuromorphic Processor.
Yuan Li, Renzhi Chen, Zhijie Yang, Xun Xiao, Jingyue Zhao, Zhenhua Zhu, Huadong Dai, Yuhua Tang, Weixia Xu, Li Luo, Lei Wang
2024MemSort: In-Memory Sorting Architecture.
Rui Liu, Xiaoyu Zhang, Xinyu Wang, Feng Min, Zhejian Luo, Xiaoming Chen, Yinhe Han, Minghua Tang
2024Memristive Logic-in-Memory Implementation with Area Efficiency and Parallelism.
Ikkyum Kim, Heechun Park
2024Mera: Memory Reduction and Acceleration for Quantum Circuit Simulation via Redundancy Exploration.
Yuhong Song, Edwin Hsing-Mean Sha, Longshan Xu, Qingfeng Zhuge, Zili Shao
2024MuSA: Multi-Sketch Accelerator with Hybrid Parallelism and Coalesced Memory Organization.
Sunan Zou, Bizhao Shi, Ziyun Zhang, Guojie Luo
2024Multi-Model Inference Composition of Hyperdimensional Computing Ensembles.
Flavio Ponzina, Rishikanth Chandrasekaran, Anya Wang, Seiji Minowada, Siddharth Sharma, Tajana Rosing
2024Multi-Stage Dynamic Cuckoo Filters.
Jun Su, Yinjin Fu, Nong Xiao
2024Multi: Reduce Energy Overhead of Criticality-Aware Dynamic Instruction Scheduling for Energy Efficiency.
Honglan Zhan, Chenxi Wang, Xin Wang, Chun Yang, Xianhua Liu, Xu Cheng
2024NexusCIM: High-Throughput Multi-CIM Array Architecture with C-Mesh NoC and Hub Cores.
Hyunmin Kim, Sungju Ryu
2024Ninja: A Hardware Assisted System for Accelerating Nested Address Translation.
Longyu Zhao, Zongwu Wang, Fangxin Liu, Li Jiang
2024OLSATM: Online Learning Based State-Aware Task Migration on S-NUCA Many-Cores.
Yandong He, Guangda Zhang, Yongjun Zhang, Hengzhu Liu, Renzhi Chen
2024Opportunistic Migration for Hybrid Memories While Mitigating Aging Effects.
N. S. Aswathy, Hemangee K. Kapoor
2024Optimizing Quantum Circuit Synthesis with Dominator Analysis.
Giacomo Lancellotti, Giovanni Agosta, Alessandro Barenghi, Gerardo Pelosi
2024Optimizing Structural Modification Operation for B+-Tree on Byte-Addressable Devices.
Dingze Hong, Jinlei Hu, Jianxi Chen, Dan Feng, Jian Liu
2024PCC: An End-to-End Compilation Framework for Neural Networks on Photonic-Electronic Accelerators.
Bohan Hu, Yinyi Liu, Zhenguo Liu, Wei Zhang, Jiang Xu
2024PCCL: Energy-Efficient LLM Training with Power-Aware Collective Communication.
Ziyang Jia, Laxmi N. Bhuyan, Daniel Wong
2024PS4: A Low Power SNN Accelerator with Spike Speculative Scheme.
Zongwu Wang, Fangxin Liu, Xin Tang, Li Jiang
2024ParaCkpt: Heterogeneous Multi-Path Checkpointing Mechanism for Training Deep Learning Models.
Shucheng Wang, Qiang Cao, Kaiye Zhou, Jun Xu, Zhandong Guo, Jiannan Guo
2024Persistent Spiral Storage.
Wenyu Peng, Tao Xie, Paul H. Siegel
2024Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption.
Valentino Peluso, Erich Malan, Andrea Calimera, Enrico Macii
2024Pseudo-Sim: An Accurate Analytical Modeling Framework for Systolic Array Architectures.
Dan Sturm, Sajjad Moazeni
2024RAID45: Hybrid Parity-Based RAID for Reducing Parity Write Wear on High-Density SSDs.
Jialin Liu, Yujiong Liang, Yunpeng Song, Liang Shi
2024RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices.
Kam Chi Loong, Shihao Han, Sishuo Liu, Ning Lin, Zhongrui Wang
2024RTDeepEnsemble: Real-Time DNN Ensemble Method for Machine Perception Systems.
Zitong Bo, Chaoping Guo, Chang Leng, Ying Qiao, Hongan Wang
2024Read-Optimized Persistent Hash Index for Query Acceleration through Fingerprint Filtering and Lock-Free Prefetching.
Renzhi Xiao, Dan Feng, Yuchong Hu, Hong Jiang, Lin Wang, Yucheng Zhang, Lanlan Cui, Guanglei Xu, Fang Wang
2024Reinforcement Learning-Driven Co-Scheduling and Diverse Resource Assignments on NUMA Systems.
Urvij Saroliya, Eishi Arima, Dai Liu, Martin Schulz
2024Rethinking High-Level Synthesis Design Space Exploration from a Contrastive Perspective.
Huiliang Hong, Chenglong Xiao, Shanshan Wang
2024S3M: Static Semi-Segmented Multipliers for Energy-Efficient DNN Inference Accelerators.
Mingtao Zhang, Quan Cheng, Hiromitsu Awano, Longyang Lin, Masanori Hashimoto
2024SATL: A Spatial Architecture Rapid Prototyping Framework for Irregular Applications Acceleration.
Francesco Peverelli, Alessandro Verosimile, Davide Conficconi, Andrea Damiani, Marco D. Santambrogio
2024SHEEO: Continuous Energy Efficiency Optimization in Autonomous Embedded Systems.
Xinkai Wang, Chao Li, Lingyu Sun, Qizheng Lyu, Xiaofeng Hou, Jingwen Leng, Minyi Guo
2024SLIDE-x-ML: System-Level Infrastructure for Dataset E-xtraction and Machine Learning Framework for High-Level Synthesis Estimations.
Vittoriano Muttillo, Vincenzo Stoico, Marco Santic, Giacomo Valente, Luigi Pomante, Daniele Frigioni
2024Safe Speculation for Cheri.
Franz A. Fuchs, Jonathan Woodruff, Peter Rugg, Alexandre Joannou, Jessica Clarke, John Baldwin, Brooks Davis, Peter G. Neumann, Robert N. M. Watson, Simon W. Moore
2024SchInFS: A File System Integrating Functions of the Block I/O Scheduler for ZNS SSDs.
Jintong Zhang, Haichuan Hu, Jianxi Chen, Yekang Zhan
2024Simultaneous Conjugate Gradient and iAFF-UNet for Accurate IR Drop Calculation.
He Liu, Yipei Xu, Simin Tao, Zhipeng Huang, Biwei Xie, Xingquan Li, Wei Gao
2024SmartNetSSD: Exploiting Path Resources for Read Performance Improvement in Network-Based SSDs.
Jinhua Cui, Feiyu Chen, Lu Li, Shiqiang Nie, Laurence T. Yang
2024SuperMap: High-Performance and Flexible Memory-Mapped IO for Fast Storage Device.
Wenqing Jia, Dejun Jiang, Jin Xiong
2024T-BUS: Taming Bipartite Unstructured Sparsity for Energy-Efficient DNN Acceleration.
Ning Yang, Fangxin Liu, Zongwu Wang, Zhiyan Song, Tao Yang, Li Jiang
2024TDM: Time and Distance Metric for Quantifying Information Leakage Vulnerabilities in SoCs.
Avinash Ayalasomayajula, Henian Li, Hasan Al Shaikh, Sujan Kumar Saha, Farimah Farahmandi
2024Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms.
Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg, Anil Kanduri
2024TileMap: Mapping Multi-Head Attention on Spatial Accelerators with Tile-based Analysis.
Fuyu Wang, Minghua Shen
2024Transformer-Characterized Approach for Chip Floorplanning: Leveraging HyperGCN and DTQN.
Wenbo Guan, Xiaoyan Tang, Hongliang Lu, Jingru Tan, Jinlong Wang, Yuming Zhang
2024Tutorial: Evolutionary Design Methods in Electronic Design Automation.
Lukás Sekanina
2024UniCoMo: A Unified Learning-Based Cost Model for Tensorized Program Tuning.
Zihan Wang, Lei Gong, Wenqi Lou, Qianyu Cheng, Xianglan Chen, Chao Wang, Xuehai Zhou
2024VDMig: An Adaptive Virtual Disk Migration Scheme for Cloud Block Storage System.
Guangjie Xing, Shuheng Gao, Hua Wang, Ke Zhou, Yaodong Han, Mengling Tao
2024VEGA: Implementing a Versatile and Efficient Deep Learning Processor with Graph-Based ALU.
Wenqiang Wang, Yuzhou Chen, Guanting Huo, Guanghui He, Ningyi Xu
2024VarVE: Bringing SIMD Performance to Variable-Width Values.
Chen Zou, Andrew A. Chien
2024Ventus: A High-performance Open-source GPGPU Based on RISC-V and Its Vector Extension.
Jingzhou Li, Kexiang Yang, Chufeng Jin, Xudong Liu, Zexia Yang, Fangfei Yu, Yujie Shi, Mingyuan Ma, Li Kong, Jing Zhou, Hualin Wu, Hu He
2024Vision Transformer Inference on a CNN Accelerator.
Changjae Yi, Hyunsu Moh, Soonhoi Ha
2024WOLT: Transparent Deployment of ML Workloads on Lightweight Many-Accelerator Architectures.
Kuan-Lin Chiu, Guy Eichler, Chuan-Tung Lin, Giuseppe Di Guglielmo, Luca P. Carloni
2024vCLIC: Towards Fast Interrupt Handling in Virtualized RISC-V Mixed-Criticality Systems.
Enrico Zelioli, Alessandro Ottaviano, Robert Balas, Nils Wistoff, Angelo Garofalo, Luca Benini