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

ISLPED: IEEE/ACM International Symposium on Low Power Electronics and Design — papers and institutions, 2024–2026

Papers of ISLPED, IEEE/ACM International Symposium on Low Power Electronics and Design (CORE rank A; field: Computer science (general), Applied computing), 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#

  • ISLPED (IEEE/ACM International Symposium on Low Power Electronics and Design) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 207 of its papers from 2024–2026 (62 in 2024, 80 in 2025, 65 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (102), South Korea (59) and China (14).
  • The institutions with the most papers are Korea University (12), Georgia Institute of Technology (10) and Purdue University West Lafayette (10).
  • Its most-cited paper of these years is “PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers” (2024), with 17 citations.

Papers per year#

ISLPED papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20246262
20258071
20266565

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4363608740The conference's proceedings

Who publishes there#

Institutions with the most ISLPED papers, 2024–2026
#InstitutionPapers
1Korea University12
2Georgia Institute of Technology10
3Purdue University West Lafayette10
4Arizona State University8
5University of Southern California7
6University of California, Irvine7
7University of California San Diego7
8Chung-Ang University7
9Pohang University of Science and Technology6
10Intel (United States)6
Countries with the most ISLPED papers, 2024–2026
#CountryPapers
1United States102
2South Korea59
3China14
4Switzerland9
5India9
6Taiwan8
7Germany4
8Hong Kong4
9Japan4
10Netherlands4
Keywords with the most ISLPED papers, 2024–2026
#KeywordPapers
1energy efficiency78
2in-memory computing24
3edge computing14
4hardware acceleration10
5low-power electronics9
6hyperdimensional computing8
7FPGA implementation6
8hardware accelerators6
9spiking neural networks6
10AI accelerators5

Most-cited papers#

Most-cited ISLPED papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
117PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers2024-08-05Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi et al.
211Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference2024-08-05Tianhua Xia, Sai Qian Zhang
310All You Need is Unary: End-to-End Unary Bit-stream Processing in Hyperdimensional Computing2024-08-05Mehran Shoushtari Moghadam, Sercan Aygün, Faeze S. Banitaba et al.
48HeTraX: Energy Efficient 3D Heterogeneous Manycore Architecture for Transformer Acceleration2024-08-05Pratyush Dhingra, Jana Doppa, Partha Pratim Pande
58PiQi: Partially Quantized DNN Inference on HMPSoCs2024-08-05Ehsan Aghapour, Yixian Shen, Dolly Sapra et al.
67FPIA: Field-Programmable Ising Arrays with In-Memory Computing2024-08-05George Higgins Hutchinson, Ethan Sifferman, Tinish Bhattacharya et al.
773D IC Architecture Evaluation and Optimization with Digital Compute-in-Memory Designs2024-08-05Hyung Joon Byun, Udit Gupta, Jae-sun Seo
87Unleashing Flexibility of ML-based Power Estimators Through Efficient Development Strategies2024-08-05Yao Lu, Qijun Zhang, Zhiyao Xie
97Design Approach for Die-to-Die Interfaces to Enable Energy-Efficient Chiplet Systems2024-08-05Vikram Jain, Wei Tang, Zuoguo Wu et al.
107Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables2024-08-05Hossein Taji, José Miranda, Miguel Peón-Quirós et al.

Conferences in the same field#

ICRA · DAC · ISCA · HPCA · MICRO · IROS · MICCAI · DATE · SC · AIED · ICWSM · IPDPS · SIGSPATIAL · LAK · ICS · ICCAD · DSN · ISMB · HPDC · ITC · FPGA

Cite this page

Scholar4AI. (2026). ISLPED: IEEE/ACM International Symposium on Low Power Electronics and Design — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/islped

@misc{scholar4ai-proceedings-islped,
  author = {{Scholar4AI}},
  title = {ISLPED: IEEE/ACM International Symposium on Low Power Electronics and Design — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/islped}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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