Workshop Program

9:00 AM - 9:10 AM Opening Remarks
9:10 AM - 10:00 AM [Keynote I]
10:00 AM - 10:30 AM Break
10:30 AM - 10:50 AM [Regular Paper] Understanding Portability of Automotive Workload: A Case Study with a Points-to-image Kernel in SYCL on Heterogeneous Computing Platforms
Zheming Jin and Jeffrey Vetter (ORNL)
Abstract
10:50 AM - 11:10 AM [Regular Paper] GPU Auto-tuning Framework for Optimal Performance and Power Consumption
Sunbal Cheema and Gul Khan (Toronto Metropolitan (formerly Ryerson) University)
Abstract
11:10 AM - 11:30 AM [Regular Paper] LATOA: Load-Aware Task Offloading and Adoption in GPU
Hossein Bitalebi (KTH Royal Institute of Technology), Vahid Geraeinejad (KTH Royal Institute of Technology), Farshad Safaei (Shahid Beheshti University) and Masoumeh Ebrahimi (KTH Royal Institute of Technology)
Abstract
11:30 AM - 11:50 AM [Regular Paper] Simple Out of Order Core for GPGPUs
Rodrigo Huerta (Polytechnic University of Catalonia), Jose-Maria Arnau (Semidynamics) and Antonio González (Polytechnic University of Catalonia)
Abstract
12:00 PM - 1:30 PM Lunch
1:30 PM - 2:20 PM [Keynote II]
2:30 PM - 3:00 PM Break
3:00 PM - 3:20 PM [Regular Paper] Lightweight Register File Caching in Collector Units for GPUs
Mojtaba Abaie Shoushtary, Jose Maria Arnau, Jordi Tubella Murgadas and Antonio Gonzalez (Polytechnic University of Catalonia)
Abstract
3:20 PM - 3:35 PM [Short Paper] Exploiting Scratchpad Memory for Deep Temporal Blocking
Lingqi Zhang (Tokyo Institute of Technology), Mohamed Wahib (RIKEN Center for Computational Science), Peng Chen (National Institute of Advanced Industrial Science and Technology), Jintao Meng (Shenzhen Institutes of Advanced Technology), Xiao Wang (Oak Ridge National Laboratory), Endo Toshio (Tokyo Institute of Technology) and Satoshi Matsuoka (RIKEN Center for Computational Science)
Abstract
3:35 PM - 3:50 PM [Short Paper] Understanding Scalability of Multi-GPU Systems
Yuan Feng and Hyeran Jeon (University of California, Merced)
Abstract
3:50 PM - 4:00 PM Closing Remarks

Important Dates

  • Papers due: Novemeber 28, 2022 December 9, 2022
  • Notification: Jan 6, 2023
  • Final paper due: Feb 17, 2023

Submission Guidelines

Full paper submissions must be in PDF format for US letter-size paper. They must not exceed 6 pages (all-inclusive) in standard ACM two-column conference format (review mode, with page numbers and both 9 or 10pt can be used). Publication in GPGPU does not preclude publication of longer submissions of the work to subsequent conferences or journals. GPGPU also accepts extended abstracts (2 pages including references) on work in progress of relevant topics. 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: https://www.acm.org/publications/proceedings-template

Submission Site: GPGPU 2023

Workshop Organizers

Hyeran Jeon Yifan Sun Daniel Wong
Co-chair Co-chair Co-chair
UC Merced William & Mary UC Riverside
Hyeran Jeon is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, Merced. She received her PhD at the University of Southern California. Her research interests lie in energy-efficient, reliable, and secure GPU architectures. Yifan Sun is an Assistant Professor in the Department of Computer Science at William & Mary since Fall 2020. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at Northeastern University in 2020. His research interests lie in GPU architecture, performance evaluation, and performance modeling. Daniel Wong is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside. He received his PhD in Electrical Engineering at the University of Southern California (USC). His research spans GPU Architecture, High Performance Computing, and Warehouse-scale Computing. His current research focuses on energy efficient and high performance computing systems from datacenter scale to micro-architectures. His research work has been recognized with an IEEE MICRO Top Picks in 2012 and an NSF CAREER award in 2020.
Nafis Mustakin Yuan Feng
Publication Chair Web Chair
UC Riverside UC Merced
Please contact the organizers if you have any questions.

Program Committee

  • Zhongliang Chen (AMD)
  • Xulong Tang (U Pitts)
  • Wenqian Dong (Florida International University)
  • José L. Abellán (UCAM)
  • Gunjae Koo (Korea University)
  • Hoda Naghibijouybari (Binghamton University)
  • Adwait Jog (William & Mary)
  • David Kaeli (Northeastern University)
  • Shi Dong (Cerebras)

Proceedings

The accepted papers will be published in the ACM Online Conference Proceedings Series.

Publicity

TBD

Workshop Attendance and Impact

In general, GPGPU has been one of the highest attended workshops at PPoPP or ASPLOS. Generally, 50-75 people register for the workshop. The average citation count (as per Google Scholar), for a GPGPU workshop paper, is currently ~37.5, where there have been 8 influential papers with 100+ citations.

About Prior GPGPU Workshop Meetings

David Kaeli (Northeastern) and John Cavazos (Delaware) started this GPGPU workshop series, which was first held in 2007 at Northeastern University. In 2008, the workshop was held with ASPLOS 2008. This trend continued and this GPGPU workshop was held with ASPLOS for the next 6 years. From 2015 to 2018, the GPGPU workshop was co-located with PPoPP. GPGPU 2019 workshop was held with ASPLOS 2019. The last two GPGPU workshops (2020, 2022) was again co-located with PPoPP.

Previous versions of the GPGPU workshop: