Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

ASPLOS: Architectural Support for Programming Languages and Operating Systems — papers and institutions, 2024–2026

Papers of ASPLOS, Architectural Support for Programming Languages and Operating Systems (CORE rank A*; field: Software engineering, Distributed computing and systems software), 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. Also as Markdown.

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Key findings#

  • ASPLOS (Architectural Support for Programming Languages and Operating Systems) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 532 of its papers from 2024–2026 (198 in 2024, 199 in 2025, 135 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (315), China (170) and South Korea (38).
  • The institutions with the most papers are Shanghai Jiao Tong University (41), Tsinghua University (31) and University of Illinois Urbana-Champaign (29).
  • Its most-cited paper of these years is “PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation” (2024), with 738 citations.

Papers per year#

ASPLOS papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
2024198198
2025199199
2026135135

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407086669The conference's proceedings

Who publishes there#

Institutions with the most ASPLOS papers, 2024–2026
#InstitutionPapers
1Shanghai Jiao Tong University41
2Tsinghua University31
3University of Illinois Urbana-Champaign29
4Chinese Academy of Sciences29
5Peking University27
6Google (United States)26
7Institute of Computing Technology24
8University of Chinese Academy of Sciences23
9Georgia Institute of Technology21
10University of Washington21
Countries with the most ASPLOS papers, 2024–2026
#CountryPapers
1United States315
2China170
3South Korea38
4Hong Kong30
5United Kingdom26
6Canada20
7Switzerland20
8Germany20
9Singapore15
10Australia9
Keywords with the most ASPLOS papers, 2024–2026
#KeywordPapers
1energy efficiency34
2large language models33
3large language model inference26
4GPU acceleration17
5in-memory computing16
6fully homomorphic encryption13
7hardware-software co-design13
8serverless computing13
9compiler optimization12
10large language model training12

Most-cited papers#

Most-cited ASPLOS papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
1738PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation2024-04-22Jason Ansel, Edward Z. Yang, Horace He et al.
2134AttAcc! Unleashing the Power of PIM for Batched Transformer-based Generative Model Inference2024-04-22Jaehyun Park, Jaewan Choi, Kwanhee Kyung et al.
3131NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing2024-04-24Guseul Heo, Sangyeop Lee, Jaehong Cho et al.
4114SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification2024-04-24Xupeng Miao, Gabriele Oliaro, Zhihao Zhang et al.
587Characterizing Power Management Opportunities for LLMs in the Cloud2024-04-24Pratyush Patel, Esha Choukse, Chaojie Zhang et al.
678SpotServe: Serving Generative Large Language Models on Preemptible Instances2024-04-22Xupeng Miao, Chunan Shi, Jiangfei Duan et al.
777GSCore: Efficient Radiance Field Rendering via Architectural Support for 3D Gaussian Splatting2024-04-24Junseo Lee, Seokwon Lee, Jungi Lee et al.
873RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing2024-04-17Hanfei Yu, Rohan Basu Roy, Christian Fontenot et al.
962IANUS: Integrated Accelerator based on NPU-PIM Unified Memory System2024-04-24Minseok Seo, Xuan Truong Nguyen, Seok Joong Hwang et al.
1053Systematic CXL Memory Characterization and Performance Analysis at Scale2025-03-27Jinshu Liu, Hamid Hadian, Yuyue Wang et al.

Conferences in the same field#

WWW · ICSE · ASE · INFOCOM · MobiCom · FSE · ISCA · SIGCOMM · HPCA · PLDI · POPL · CAV · PODC · SIGMETRICS · SOSP · PerCom · DATE · SC · OOPSLA · ICWS · ISSTA · MODELS · ICDCS · MSR · MobiSys · SANER · IPDPS · EuroSys · IMC · ICST · ICS · EASE · ICCAD · RE · ICSME · DSN · TACAS · HPDC · MMSys · ICPC · CGO · ICSOC · ESEM · RTAS · MSWIM · CoNEXT · ISSRE · BPM · RTSS · DISC · ICFP · Middleware · ICSA · IJCAR · SEAMS · ECOOP · HotOS

Cite this page

Scholar4AI. (2026). ASPLOS: Architectural Support for Programming Languages and Operating Systems — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/asplos

@misc{scholar4ai-proceedings-asplos,
  author = {{Scholar4AI}},
  title = {ASPLOS: Architectural Support for Programming Languages and Operating Systems — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/asplos}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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