---
title: "ISCA (A*): papers and universities"
description: "ISCA (ACM International Symposium on Computer Architecture) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 422 of its papers from 2024–2026 (98 in 2024, 135 in 2025, 189 in 2026). By the countries of the authors' institutions, the most papers come from the United States (215), China (117) and South Korea (51)."
url: https://scholar4ai.com/proceedings/isca
markdown_url: https://scholar4ai.com/proceedings/isca.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ISCA (ACM International Symposium on Computer Architecture) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 422 of its papers from 2024–2026 (98 in 2024, 135 in 2025, 189 in 2026). (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)
---

# ISCA: ACM International Symposium on Computer Architecture — papers and institutions, 2024–2026

Papers of ISCA, ACM International Symposium on Computer Architecture (CORE rank A*; field: Computer science (general), Distributed computing and systems software, Software engineering), 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

- ISCA (ACM International Symposium on Computer Architecture) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 422 of its papers from 2024–2026 (98 in 2024, 135 in 2025, 189 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (215), China (117) and South Korea (51).
- The institutions with the most papers are Shanghai Jiao Tong University (31), Tsinghua University (29) and University of Illinois Urbana-Champaign (22).
- Its most-cited paper of these years is “Splitwise: Efficient Generative LLM Inference Using Phase Splitting” (2024), with 300 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 98 | 87 |
| 2025 | 135 | 132 |
| 2026 | 189 | 166 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4393916863](https://openalex.org/S4393916863) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 31 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 29 |
| 3 | University of Illinois Urbana-Champaign | 22 |
| 4 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 19 |
| 5 | ETH Zurich | 18 |
| 6 | Korea Advanced Institute of Science and Technology | 17 |
| 7 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 17 |
| 8 | Institute of Computing Technology | 17 |
| 9 | Georgia Institute of Technology | 16 |
| 10 | Hong Kong University of Science and Technology | 15 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 215 |
| 2 | China | 117 |
| 3 | South Korea | 51 |
| 4 | United Kingdom | 25 |
| 5 | Switzerland | 20 |
| 6 | Hong Kong | 18 |
| 7 | Canada | 14 |
| 8 | Germany | 11 |
| 9 | Singapore | 9 |
| 10 | Spain | 8 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | energy efficiency | 51 |
| 2 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 34 |
| 3 | hardware-software co-design | 28 |
| 4 | large language model inference | 16 |
| 5 | DRAM | 13 |
| 6 | in-memory computing | 13 |
| 7 | hardware accelerators | 12 |
| 8 | memory bandwidth | 12 |
| 9 | branch prediction | 11 |
| 10 | fault-tolerant quantum computing | 11 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 300 | [Splitwise: Efficient Generative LLM Inference Using Phase Splitting](https://doi.org/10.1109/isca59077.2024.00019) | 2024-06-01 | Pratyush Patel, Esha Choukse, Chaojie Zhang et al. |
| 2 | 60 | [LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference](https://doi.org/10.1109/isca59077.2024.00082) | 2024-06-29 | Hengrui Zhang, August Ning, Rohan Baskar Prabhakar et al. |
| 3 | 54 | [Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference](https://doi.org/10.1109/isca59077.2024.00078) | 2024-06-29 | Ranggi Hwang, Jianyu Wei, Shijie Cao et al. |
| 4 | 52 | [Designing Cloud Servers for Lower Carbon](https://doi.org/10.1109/isca59077.2024.00041) | 2024-06-29 | Jaylen Wang, Daniel S. Berger, Fiodar Kazhamiaka et al. |
| 5 | 44 | [Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization](https://doi.org/10.1109/isca59077.2024.00080) | 2024-06-29 | Jungi Lee, Wonbeom Lee, Jaewoong Sim |
| 6 | 43 | [Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures](https://doi.org/10.1145/3695053.3731412) | 2025-06-20 | Chenggang Zhao, Chengqi Deng, Chong Ruan et al. |
| 7 | 42 | [Realizing the AMD Exascale Heterogeneous Processor Vision : Industry Product](https://doi.org/10.1109/isca59077.2024.00068) | 2024-06-29 | Alan Smith, Gabriel H. Loh, Michael Schulte et al. |
| 8 | 40 | [H 2 -LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference](https://doi.org/10.1145/3695053.3731008) | 2025-06-20 | Cong Li, Yihan Yin, Xintong Wu et al. |
| 9 | 40 | [HEAP: A Fully Homomorphic Encryption Accelerator with Parallelized Bootstrapping](https://doi.org/10.1109/isca59077.2024.00060) | 2024-06-29 | Rashmi Agrawal, Anantha P. Chandrakasan, Ajay Joshi |
| 10 | 39 | [Trapezoid: A Versatile Accelerator for Dense and Sparse Matrix Multiplications](https://doi.org/10.1109/isca59077.2024.00072) | 2024-06-29 | Yifan Yang, Joel Emer, Daniel Sánchez |

## Cite this page

Scholar4AI. (2026). ISCA: ACM International Symposium on Computer Architecture — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/isca

```bibtex
@misc{scholar4ai-proceedings-isca,
  author = {{Scholar4AI}},
  title = {ISCA: ACM International Symposium on Computer Architecture — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/isca}},
  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/).