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
2019	ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning.	Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos
2019	Scalability analysis of optical Beneš networks based on thermally/electrically tuned Mach-Zehnder interferometers.	Markos Kynigos, Jose Antonio Pascual, Javier Navaridas, Mikel Lujn, John Goodacre
2019	TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning.	Youngeun Kwon, Yunjae Lee, Minsoo Rhu
2019	Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach.	Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
2019	Asymmetric routing in 3D NoC using interleaved edge routers.	Rose George Kunthara, Rekha K. James, Simi Zerine Sleeba, John Jose
2019	A communication-centric approach for designing flexible DNN accelerators.	Tushar Krishna
2019	EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM.	Skanda Koppula, Lois Orosa, Abdullah Giray Yagliki, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu
2019	Simmani: Runtime Power Modeling for Arbitrary RTL with Automatic Signal Selection.	Donggyu Kim, Jerry Zhao, Jonathan Bachrach, Krste Asanovic
2019	SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations.	Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gmez-Luna, Onur Mutlu
2019	Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory.	Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee
2019	Dynamic Multi-Resolution Data Storage.	Yu-Ching Hu, Murtuza Taher Lokhandwala, Te I, Hung-Wei Tseng
2019	Boosting the Performance of CNN Accelerators with Dynamic Fine-Grained Channel Gating.	Weizhe Hua, Yuan Zhou, Christopher De Sa, Zhiru Zhang, G. Edward Suh
2019	DynaSprint: Microarchitectural Sprints with Dynamic Utility and Thermal Management.	Ziqiang Huang, Jos A. Joao, Alejandro Rico, Andrew D. Hilton, Benjamin C. Lee
2019	MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm.	Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie
2019	eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference.	Chao-Tsung Huang, Yu-Chun Ding, Huan-Ching Wang, Chi-Wen Weng, Kai-Ping Lin, Li-Wei Wang, Li-De Chen
2019	Touch: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads.	Seokin Hong, Blent Abali, Alper Buyuktosunoglu, Michael B. Healy, Prashant J. Nair
2019	ExTensor: An Accelerator for Sparse Tensor Algebra.	Kartik Hegde, Hadi Asghari Moghaddam, Michael Pellauer, Neal Clayton Crago, Aamer Jaleel, Edgar Solomonik, Joel S. Emer, Christopher W. Fletcher
2019	Cyclone: Detecting Contention-Based Cache Information Leaks Through Cyclic Interference.	Austin Harris, Shijia Wei, Prateek Sahu, Pranav Kumar, Todd M. Austin, Mohit Tiwari
2019	Distributed Logless Atomic Durability with Persistent Memory.	Siddharth Gupta, Alexandros Daglis, Babak Falsafi
2019	Wire-Aware Architecture and Dataflow for CNN Accelerators.	Sumanth Gudaparthi, Surya Narayanan, Rajeev Balasubramonian, Edouard Giacomin, Hari Kambalasubramanyam, Pierre-Emmanuel Gaillardon
2019	EMI Architectural Model and Core Hopping.	Daphne I. Gorman, Rafael Trapani Possignolo, Jose Renau
2019	SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks.	Ashish Gondimalla, Noah Chesnut, Mithuna Thottethodi, T. N. Vijaykumar
2019	Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines.	Pranav Gokhale, Yongshan Ding, Thomas Propson, Christopher Winkler, Nelson Leung, Yunong Shi, David I. Schuster, Henry Hoffmann, Frederic T. Chong
2019	MANIC: A Vector-Dataflow Architecture for Ultra-Low-Power Embedded Systems.	Graham Gobieski, Amolak Nagi, Nathan Serafin, Mehmet Meric Isgenc, Nathan Beckmann, Brandon Lucia
2019	Constructing Large, Durable and Fast SSD System via Reprogramming 3D TLC Flash Memory.	Congming Gao, Min Ye, Qiao Li, Chun Jason Xue, Youtao Zhang, Liang Shi, Jun Yang

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