Nomination for ASPLOS'24 Artifact Evaluation Committee 

ASPLOS’24 will include an artifact evaluation (AE) process (similar to ASPLOS’20’21, '22, '23) to promote the reproducibility of experimental results. Authors of accepted papers are invited to submit their supporting materials (software, hardware, benchmarks, etc.) to the Artifact Evaluation process based on the ACM Artifact Review and Badging policy. The Artifact Evaluation process is run by an Artifact Evaluation Committee (AEC), whose task is to assess how the artifacts support the work described in the papers. 

If you are interested in being a part of the Artifact Evaluation Committee, please fill out the form below. We expect the AEC will consist of senior graduate students, postdocs, and researchers. Note that we have 3 submission cycles this year, and we expect a maximum workload of reviewing 2-3 submissions (10-15 hours) per cycle. AEC members will serve for all three review cycles for ASPLOS'24.

Advisors - Please consider nominating your students & postdocs. Students - self-nominations are welcome!

The nomination deadline is July 11, 2023

Below are the deadlines for the AE process for ASPLOS'24:

Spring cycle
  • Artifact submission: August 16, 2023
  • Kick-the-Tires Deadline: August 30, 2023
  • Reviews due: September 13, 2023
Summer cycle
  • Artifact submission: November 29, 2023
  • Kick-the-Tires Deadline: December 13, 2023
  • Reviews due: January 5, 2024
Fall cycle
  • Artifact submission: March 11, 2024
  • Kick-the-Tires Deadline: March 15, 2024
  • Reviews due: March 26, 2024
Hyeran Jeon and Dong Li
ASPLOS'24 Artifact Evaluation Chairs
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Nominee's Name *
Nominator's Name (if not a Self-Nomination) *
Nominee's Email *
Nominee's Affiliation *
Nominee's Website (if applicable)
Nominee's Rank *
Research Area(s) *
Brief Motivation and Background  *
Please provide nominee's research background and any experience with artifacts (either as reviewer or author)
Test Infrastructure Availability *
Please provide a brief description of the infrastructure that the nominee may have access to for evaluating artifacts (e.g. 8-core x86 desktop, 64-core Xeon with 400GB memory, etc.)
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