The goal of the workshop is to provide a forum for researchers and practitioners to exchange ideas and discuss the latest advances in the field of computer architecture modeling ans simulation. The focus on modeling and simulation techniques is of vital importance to the ongoing advancements in microarchitecture, as these methods are essential tools for improving system performance, efficiency, and reliability.
The workshop will cover various aspects of computer architecture modeling and simulation, including but not limited to:
Abstract: TBD
Bio: Matt Sinclair is an Assistant Professor in the Computer Sciences Department, an affiliate faculty member of the Electrical & Computer Engineering Department, and an affiliate of the Teaching Academy at the University of Wisconsin-Madison. He is primarily a computer architect, although his work also includes other areas such as operating systems and parallel programming. Moreover, he is also passionate about designing the tools used to study future heterogeneous systems, including serving as a member of the gem5 Project Management Committee. As an instructor at UW-Madison, he is currently part of the Excel Initiative, and was previously a Madison Teaching & Learning Fellow. He also is the current steward for the ISCA Hall of Fame. His research has been recognized several times, including with an NSF CAREER award, a 2018 ACM Doctoral Dissertation Award nomination, a Qualcomm Innovation Fellowship, the 2018 David J. Kuck Outstanding PhD Thesis Award, an ACM SIGARCH - IEEE Computer Society TCCA 2018 Outstanding Dissertation Award Honorable Mention, two Mavis Future Faculty Fellowships, a Feng Chen Memorial Award, and W.J. Poppelbaum Award, and Saburo Muroga Fellowship. Previously, he completed his PhD in Computer Architecture in the Computer Science Department at the University of Illinois at Urbana-Champaign under the supervision of Sarita Adve. During his PhD he interned at NVIDIA Research and after his PhD he was a postdoc at AMD Research; at both AMD and NVIDIA his work focused on optimizing future GPU memory systems.
The workshop invites submissions of original work in the form of full papers (up to 6 pages, reference not included) covering all aspects of computer architecture modeling and simulation. Submissions will be peer-reviewed, and accepted papers will be included in the workshop proceedings.
August 16, 2024
August 30, 2024 (Anywhere on Earth)
September 15, 2024
September 23, 2024
Full paper submissions must be in PDF format for US letter-size or A4 paper. They must not exceed 6 pages (excluding unlimited references) in standard ACM two-column conference format (review mode, with page numbers and both 9 or 10pt can be used). More concise papers with ideas clearly expressed are also welcomed. Authors can select if they want to reveal their identity in the submission. Templates for ACM format are available for Microsoft Word and LaTeX at this link. https://www.acm.org/publications/proceedings-template
We do not put the paper in the ACM or IEEE digital libraries. Therefore, the papers submitted to the event can be submitted to other venues without restrictions.
At least one author of accepted papers is expected to present in person during the event. We understand the travel difficulty of the post-pandemia era. In extreme cases, we will allow remote or pre-recorded presentations.
Submission Site: https://easychair.org/conferences/?conf=cams2024
![]() | ![]() | ![]() |
Yifan Sun | Trevor E. Carlson | Sabila Al Jannat |
Chair | Chair | Web Chair |
William & Mary | National University of Singapore | William & Mary |
In this workshop, we are experimenting with a PhD and practitioner-led PC. We believe that PhD students and practitioners are the end users of simulation and performance modeling tools and hence, should know the tools the best. We will report our experience during the workshop event.