The International Symposium on Computer Architecture (ISCA) will conduct artifact evaluation (AE) this year. AE has become a common practice in the systems community (OSDI, PLDI, PACT, MLSys), and has recently been successfully introduced to the architecture community, with ASPLOS conducting AE in the last four years, and MICRO doing so as well since 2021. We invite the authors of accepted ISCA 2025 papers to submit their artifacts to be assessed based on the ACM Artifact Review and Badging policy. Note that this submission is voluntary and will not influence the final decision regarding the papers.

Upload Artifact Submission to HotCRP

Important Dates

  • Paper Decision Notification: March 22, 2025
  • Artifact Registration (Intent to Submit): March 24, 2025
  • Artifact Submission: March 28, 2025
  • Artifact Decision: April 28, 2025

Process

The authors of accepted papers at ISCA 2025 will be invited to submit their artifacts according to the established submission guidelines. Submission will be then reviewed according to the reviewing guidelines. Papers that successfully go through AE will receive a set of ACM badges of approval printed on the papers themselves and available as meta information in the ACM Digital Library (it is now possible to search for papers with specific badges in ACM DL). Authors of such papers will have an option to include a two-page-max artifact appendix to their camera-ready paper. The optional artifact appendix pages will be free of charge.

ACM Reproducibility Badges


Artifacts Available

Artifacts Evaluated - Functional

Results Reproduced

Benefits

There are major benefits to introducing AE in our conferences.
  1. Dissemination of Ideas: The goal of our research is to disseminate insights and encourage people to build upon that idea. Open-sourcing the artifacts and opening up the ideas to the whole community ensures that the community can work together towards solving an important problem.
  2. Reproducibility of the Results: Artifact evaluation promotes reproducibility of experimental results and encourages code and data sharing to help the community quickly validate and compare alternative approaches.
  3. Safeguarding the Review Process: AE incentivizes people to conduct research in an ethical manner. The recent example of misconduct in our conference reviewing process has greatly hurt the reputation of this community. Introducing AE can help to restore our integrity and commitment to reproducible and ethical research.

Artifact Evaluation Organization

Artifact Evaluation Co-Chairs Affiliation
Gururaj Saileshwar University of Toronto
Linghao Song Yale University
Andrés Goens University of Amsterdam
Artifact Evaluation Committee Members Affiliation
Abhijit Das Universitat Politècnica de Catalunya
Abhimanyu Bambhaniya Georgia Tech
Aditya Shah Google
Akshat Ramachandran Georgia Institute of Technology
Alenkruth Krishnan Murali University of Virginia
Ali Aqdas Purdue University
Ali Imran University of Michigan Ann Arbor
Ange-Thierry Ishimwe University of Colorado Boulder
Anshu Gupta UC San Diego
Avery Johnson Texas A&M University
Chaojian Li Georgia Institute of Technology
Conor Green Purdue University
Daeyoung Park Seoul National University
Dilina Dehigama University of Edinburgh
Divya Shanmughan NVIDIA
Enhyeok Jang Yonsei University
Eshan Bhatia Nvidia / Texas A&M University
Evan McKinney University of Pittsburgh
Haiyue Ma Princeton University
Jaewon Kwon Yonsei University
Jinpyo Kim Seoul National University
Jinwoo Hwang KAIST
Juechu Dong University of Michigan
Jun Zhou RIKEN, Japan
Kalind Karia IIT Bombay
Khyati Kiyawat University of Virginia
Kidus Workneh University of Colorado Boulder
Le Qin The Hong Kong University of Science and Technology (Guangzhou)
Mansi Choudhary Duke University
Mao Lin University of California Merced
Nitesh Narayana GS UPC Barcelona
Nurlan Nazaraliyev UC Riverside
Phaedra Curlin University of Colorado Boulder
Rachit Rajat University of Southern California
Ranganath Selagamsetty University of Wisconsin - Madsion
Ravan Nazaraliyev University of California, Riverside
Rongchao Dong University of Pittsburgh
Ruihao Li The University of Texas at Austin
Sabiha Tajdari University of Virginia
Sanjali Yadav University of Maryland
Saurabh Raje University of Utah
Shashank Nag The University of Texas at Austin
Shyam Jesalpura University of Edinburgh
Sree Charan Gundabolu Purdue University
Sunho Lee KAIST
Surabhi Gupta Google
Utpal Bora University of Cambridge
William Won Georgia Tech
Yankai Jiang Northeastern University
Yichao Yuan University of Michigan
Yongwon Shin Pohang University of Science and Technology (POSTECH)
Yoonsung Kim KAIST
Yu-Hsiang Tseng UC San Diego
Yuan He RIKEN Center for Computational Science
Yufeng Gu University of Michigan
Yuhan Chen Meta
Yuhui Hao Institute of Computing Technology, Chinese Academy of Sciences
Yunjie Pan University of Michigan
Zach Moolman University of Colorado, Boulder
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