International Symposium on Microarchitecture

MICRO

CORE rank

CORE rank (raw)

Acceptance rate

21.0% (2023)

Fields of research

Computer Systems Engineering

Papers indexed

2,401

1972–2025

Best Computer Systems Engineering conferences

Papers per year

1972123 peak2025

Most published authors

MICRO papers

2,401 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
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	QuComm: Optimizing Collective Communication for Distributed Quantum Computing.	Anbang Wu, Yufei Ding, Ang Li
2023	Phantom: Exploiting Decoder-detectable Mispredictions.	Johannes Wikner, Danil Trujillo, Kaveh Razavi
2023	Network-On-Chip Performance Evaluation by Synchronous Circuit Simulation.	Leon Werner, Julius Roob, Klaus Schneider
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	Affinity Alloc: Taming Not-So Near-Data Computing.	Zhengrong Wang, Christopher Liu, Nathan Beckmann, Tony Nowatzki
2023	ERASER: Towards Adaptive Leakage Suppression for Fault-Tolerant Quantum Computing.	Suhas Vittal, Poulami Das, Moinuddin K. Qureshi
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	δLTA: Decoupling Camera Sampling from Processing to Avoid Redundant Computations in the Vision Pipeline.	Ral Taranco, Jos-Mara Arnau, Antonio Gonzlez
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	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	TRINE: A Tree-Based Silicon Photonic Interposer Network for Energy-Efficient 2.5D Machine Learning Acceleration.	Ebadollah Taheri, Mohammad Amin Mahdian, Sudeep Pasricha, Mahdi Nikdast
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	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	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	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	A Tensor Marshaling Unit for Sparse Tensor Algebra on General-Purpose Processors.	Marco Siracusa, Vctor Soria Pardos, Francesco Sgherzi, Joshua Randall, Douglas J. Joseph, Miquel Moret Planas, Adri Armejach
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, Jos L. Abelln, John Kim, Ajay Joshi, David R. Kaeli
2023	Efficiently Enabling Block Semantics and Data Updates in DNA Storage.	Puru Sharma, Cheng-Kai Lim, Dehui Lin, Yash Pote, Djordje Jevdjic
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, Jol Lindegger, Can Firtina, Stephan Wong, Onur Mutlu, Said Hamdioui
2023	Pipestitch: An energy-minimal dataflow architecture with lightweight threads.	Nathan Serafin, Souradip Ghosh, Harsh Desai, Nathan Beckmann, Brandon Lucia
2023	Warming Up a Cold Front-End with Ignite.	David Schall, Andreas Sandberg, Boris Grot
2023	OCRA: An Oblivious Congested Region Avoiding Routing Algorithm for 3D NoCs.	Maede Safari, Nezam Rohbani, Mohammad Arman Soleimani, Hamid Sarbazi-Azad
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	NeuroLPM - Scaling Longest Prefix Match Hardware with Neural Networks.	Alon Rashelbach, Igor Lima de Paula, Mark Silberstein

251–275 of 2,401← Previous Next →

Comparable venues

Other A*/A conferences filed under the same field of research.