MICRO

Publications

2023

Biswabandan Panda
CLIP: Load Criticality based Data Prefetching for Bandwidth-constrained Many-core Systems. MICRO (2023)
Shifan Xu, Connor T. Hann, Ben Foxman, Steven M. Girvin, Yongshan Ding
Systems Architecture for Quantum Random Access Memory. MICRO (2023)
Vahid Janfaza, Shantanu Mandal, Farabi Mahmud, Abdullah Muzahid
ADA-GP: Accelerating DNN Training By Adaptive Gradient Prediction. MICRO (2023)
Seunghwan Sung, Sujin Hur, Sungwoo Kim, Dongho Ha, Yunho Oh, Won Woo Ro
MAD MAcce: Supporting Multiply-Add Operations for Democratizing Matrix-Multiplication Accelerators. MICRO (2023)
Seah Kim, Jerry Zhao, Krste Asanovic, Borivoje Nikolic, Yakun Sophia Shao
AuRORA: Virtualized Accelerator Orchestration for Multi-Tenant Workloads. MICRO (2023)
Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen
Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI. MICRO (2023)
Qiyu Wan, Lening Wang, Jing Wang, Shuaiwen Leon Song, Xin Fu
NAS-SE: Designing A Highly-Efficient In-Situ Neural Architecture Search Engine for Large-Scale Deployment. MICRO (2023)
Jinyi Deng, Xinru Tang, Jiahao Zhang, Yuxuan Li, Linyun Zhang, Boxiao Han, Hongjun He, Fengbin Tu, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane. MICRO (2023)
Jinkwon Kim, Myeongjae Jang, Haejin Nam, Soontae Kim
HARP: Hardware-Based Pseudo-Tiling for Sparse Matrix Multiplication Accelerator. MICRO (2023)
Daichi Fujiki
MVC: Enabling Fully Coherent Multi-Data-Views through the Memory Hierarchy with Processing in Memory. MICRO (2023)
Marco Siracusa, Víctor Soria Pardos, Francesco Sgherzi, Joshua Randall, Douglas J. Joseph, Miquel Moretó Planas, Adrià Armejach
A Tensor Marshaling Unit for Sparse Tensor Algebra on General-Purpose Processors. MICRO (2023)
Gerasimos Gerogiannis, Josep Torrellas
Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making. MICRO (2023)
Ceyu Xu, Pragya Sharma, Tianshu Wang, Lisa Wu Wills
Fast, Robust and Transferable Prediction for Hardware Logic Synthesis. MICRO (2023)
Yinxiao Feng, Dong Xiang, Kaisheng Ma
Heterogeneous Die-to-Die Interfaces: Enabling More Flexible Chiplet Interconnection Systems. MICRO (2023)
David Schall, Andreas Sandberg, Boris Grot
Warming Up a Cold Front-End with Ignite. MICRO (2023)
Nathaniel Bleier, Muhammad Husnain Mubarik, Gary R. Swenson, Rakesh Kumar
Space Microdatacenters. MICRO (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO (2023)
Johannes Wikner, Daniël Trujillo, Kaveh Razavi
Phantom: Exploiting Decoder-detectable Mispredictions. MICRO (2023)
Andrew McCrabb, Aymen Ahmed, Valeria Bertacco
ACRE: Accelerating Random Forests for Explainability. MICRO (2023)
Taha Shahroodi, Gagandeep Singh, Mahdi Zahedi, Haiyu Mao, Joël Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui
Swordfish: A Framework for Evaluating Deep Neural Network-based Basecalling using Computation-In-Memory with Non-Ideal Memristors. MICRO (2023)
Size Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia, Guangyu Sun, Runsheng Wang, Yun Liang
TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. MICRO (2023)
Nathan Serafin, Souradip Ghosh, Harsh Desai, Nathan Beckmann, Brandon Lucia
Pipestitch: An energy-minimal dataflow architecture with lightweight threads. MICRO (2023)
Zhengrong Wang, Christopher Liu, Nathan Beckmann, Tony Nowatzki
Affinity Alloc: Taming Not-So Near-Data Computing. MICRO (2023)
Zerui Guo, Jiaxin Lin, Yuebin Bai, Daehyeok Kim, Michael Swift, Aditya Akella, Ming Liu
LogNIC: A High-Level Performance Model for SmartNICs. MICRO (2023)
Michael Jaemin Kim, Minbok Wi, Jaehyun Park, Seoyoung Ko, Jaeyoung Choi, Hwayong Nam, Nam Sung Kim, Jung Ho Ahn, Eojin Lee
How to Kill the Second Bird with One ECC: The Pursuit of Row Hammer Resilient DRAM. MICRO (2023)
Nandeeka Nayak, Toluwanimi O. Odemuyiwa, Shubham Ugare, Christopher W. Fletcher, Michael Pellauer, Joel S. Emer
TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators. MICRO (2023)
Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. MICRO (2023)
Kexing Zhou, Yun Liang, Yibo Lin, Runsheng Wang, Ru Huang
Khronos: Fusing Memory Access for Improved Hardware RTL Simulation. MICRO (2023)
Renhao Fan, Yikai Cui, Qilin Chen, Mingyu Wang, Youhui Zhang, Weimin Zheng, Zhaolin Li
MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Inference. MICRO (2023)
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
Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. MICRO (2023)
Yun-Chen Lo, Ren-Shuo Liu
Bucket Getter: A Bucket-based Processing Engine for Low-bit Block Floating Point (BFP) DNNs. MICRO (2023)
Konstantinos Kanellopoulos, Rahul Bera, Kosta Stojiljkovic, F. Nisa Bostanci, Can Firtina, Rachata Ausavarungnirun, Rakesh Kumar, Nastaran Hajinazar, Mohammad Sadrosadati, Nandita Vijaykumar, Onur Mutlu
Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings. MICRO (2023)
Charles Hong, Qijing Huang, Grace Dinh, Mahesh Subedar, Yakun Sophia Shao
DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators. MICRO (2023)
Neel Patel, Amin Mamandipoor, Derrick Quinn, Mohammad Alian
XFM: Accelerated Software-Defined Far Memory. MICRO (2023)
Rashmi Agrawal, Leo de Castro, Chiraag Juvekar, Anantha P. Chandrakasan, Vinod Vaikuntanathan, Ajay Joshi
MAD: Memory-Aware Design Techniques for Accelerating Fully Homomorphic Encryption. MICRO (2023)
Yannan Nellie Wu, Po-An Tsai, Saurav Muralidharan, Angshuman Parashar, Vivienne Sze, Joel Emer
HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity. MICRO (2023)
Dimitris Agiakatsikas, George Papadimitriou, Vasileios Karakostas, Dimitris Gizopoulos, Mihalis Psarakis, Camille Bélanger-Champagne, Ewart Blackmore
Impact of Voltage Scaling on Soft Errors Susceptibility of Multicore Server CPUs. MICRO (2023)
Saba Mostofi, Hajar Falahati, Negin Mahani, Pejman Lotfi-Kamran, Hamid Sarbazi-Azad
Snake: A Variable-length Chain-based Prefetching for GPUs. MICRO (2023)
Anbang Wu, Yufei Ding, Ang Li
QuComm: Optimizing Collective Communication for Distributed Quantum Computing. MICRO (2023)
Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun
UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration. MICRO (2023)
Bingyao Li, Yanan Guo, Yueqi Wang, Aamer Jaleel, Jun Yang, Xulong Tang
IDYLL: Enhancing Page Translation in Multi-GPUs via Light Weight PTE Invalidations. MICRO (2023)
Zheng Qu, Dimin Niu, Shuangchen Li, Hongzhong Zheng, Yuan Xie
TT-GNN: Efficient On-Chip Graph Neural Network Training via Embedding Reformation and Hardware Optimization. MICRO (2023)
Hyunwuk Lee, Hyungjun Jang, Sungbin Kim, Sungwoo Kim, Wonho Cho, Won Woo Ro
Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks. MICRO (2023)
Haoyang Zhang, Yirui Eric Zhou, Yuqi Xue, Yiqi Liu, Jian Huang
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations. MICRO (2023)
Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie
RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO (2023)
Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie
ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis. MICRO (2023)
Daixuan Li, Jinghan Sun, Jian Huang
Learning to Drive Software-Defined Solid-State Drives. MICRO (2023)
Arthur Perais, Rami Sheikh
Branch Target Buffer Organizations. MICRO (2023)
Hongju Kal, Chanyoung Yoo, Won Woo Ro
AESPA: Asynchronous Execution Scheme to Exploit Bank-Level Parallelism of Processing-in-Memory. MICRO (2023)
Raúl Taranco, José-María Arnau, Antonio González
δLTA: Decoupling Camera Sampling from Processing to Avoid Redundant Computations in the Vision Pipeline. MICRO (2023)