---
title: "MICRO (A*): papers and universities"
description: "MICRO (International Symposium on Microarchitecture) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 189 of its papers from 2024–2026 (124 in 2024, 65 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from the United States (93), China (47) and South Korea (29)."
url: https://scholar4ai.com/proceedings/micro
markdown_url: https://scholar4ai.com/proceedings/micro.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "MICRO (International Symposium on Microarchitecture) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 189 of its papers from 2024–2026 (124 in 2024, 65 in 2025; 2026 not in OpenAlex yet). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# MICRO: International Symposium on Microarchitecture — papers and institutions, 2024–2026

Papers of MICRO, International Symposium on Microarchitecture (CORE rank A*; field: Computer science (general)), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- MICRO (International Symposium on Microarchitecture) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 189 of its papers from 2024–2026 (124 in 2024, 65 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from the United States (93), China (47) and South Korea (29).
- The institutions with the most papers are Tsinghua University (14), University of Illinois Urbana-Champaign (12) and Georgia Institute of Technology (11).
- Its most-cited paper of these years is “Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching” (2024), with 40 citations.

## Papers per year

*MICRO papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 124 | 113 |
| 2025 | 65 | 65 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4210171338](https://openalex.org/S4210171338) | The conference's proceedings |

## Who publishes there

*Institutions with the most MICRO papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 14 |
| 2 | University of Illinois Urbana-Champaign | 12 |
| 3 | Georgia Institute of Technology | 11 |
| 4 | Massachusetts Institute of Technology | 10 |
| 5 | [Seoul National University](https://scholar4ai.com/institutions/seoul-national-university.md) | 9 |
| 6 | Korea Advanced Institute of Science and Technology | 9 |
| 7 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 8 |
| 8 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 8 |
| 9 | Nvidia (United States) | 8 |
| 10 | Institute of Computing Technology | 7 |

*Countries with the most MICRO papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 93 |
| 2 | China | 47 |
| 3 | South Korea | 29 |
| 4 | Spain | 9 |
| 5 | United Kingdom | 8 |
| 6 | Canada | 7 |
| 7 | Switzerland | 6 |
| 8 | Hong Kong | 5 |
| 9 | India | 5 |
| 10 | Belgium | 3 |

*Keywords with the most MICRO papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | energy efficiency | 32 |
| 2 | hardware-software co-design | 12 |
| 3 | in-memory computing | 10 |
| 4 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 8 |
| 5 | data reuse | 7 |
| 6 | memory-intensive applications | 7 |
| 7 | systolic arrays | 7 |
| 8 | hardware acceleration | 6 |
| 9 | memory bandwidth | 6 |
| 10 | memory latency | 6 |

## Most-cited papers

*Most-cited MICRO papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 40 | [Duplex: A Device for Large Language Models with Mixture of Experts, Grouped Query Attention, and Continuous Batching](https://doi.org/10.1109/micro61859.2024.00105) | 2024-11-02 | Sungmin Yun, Kwanhee Kyung, Juhwan Cho et al. |
| 2 | 37 | [TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning](https://doi.org/10.1109/micro61859.2024.00068) | 2024-11-02 | William Won, Midhilesh Elavazhagan, Sudarshan Srinivasan et al. |
| 3 | 37 | [SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts](https://doi.org/10.1109/micro61859.2024.00100) | 2024-11-02 | Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi et al. |
| 4 | 35 | [Trinity: A General Purpose FHE Accelerator](https://doi.org/10.1109/micro61859.2024.00033) | 2024-11-02 | Xianglong Deng, Shengyu Fan, Zhicheng Hu et al. |
| 5 | 34 | [SOFA: A Compute-Memory Optimized Sparsity Accelerator via Cross-Stage Coordinated Tiling](https://doi.org/10.1109/micro61859.2024.00093) | 2024-11-02 | Huizheng Wang, Jiahao Fang, Xinru Tang et al. |
| 6 | 30 | [Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM](https://doi.org/10.1109/micro61859.2024.00108) | 2024-11-02 | Zhongkai Yu, Shengwen Liang, Tianyun Ma et al. |
| 7 | 29 | [Low-Overhead General-Purpose Near-Data Processing in CXL Memory Expanders](https://doi.org/10.1109/micro61859.2024.00051) | 2024-11-02 | Hyungkyu Ham, Jeongmin Hong, Geonwoo Park et al. |
| 8 | 29 | [MINT: Securely Mitigating Rowhammer with a Minimalist in-DRAM Tracker](https://doi.org/10.1109/micro61859.2024.00071) | 2024-11-02 | Moinuddin K. Qureshi, Salman Qazi, Aamer Jaleel |
| 9 | 25 | [Accelerating Zero-Knowledge Proofs Through Hardware-Algorithm Co-Design](https://doi.org/10.1109/micro61859.2024.00035) | 2024-11-02 | Nikola Samardzic, Simon Langowski, Srinivas Devadas et al. |
| 10 | 25 | [BBS: Bi-Directional Bit-Level Sparsity for Deep Learning Acceleration](https://doi.org/10.1109/micro61859.2024.00048) | 2024-11-02 | Yuzong Chen, Jian Meng, Jae-sun Seo et al. |

## Cite this page

Scholar4AI. (2026). MICRO: International Symposium on Microarchitecture — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/micro

```bibtex
@misc{scholar4ai-proceedings-micro,
  author = {{Scholar4AI}},
  title = {MICRO: International Symposium on Microarchitecture — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/micro}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).