December 6, 2019
13th Workshop on General Purpose Processing Using GPU (GPGPU 2020) @ PPoPP 2020
San Diego, California, United States
Submissions due: December 06, 2019
Adwait Jog (co-chair), William & Mary (Email: email@example.com)
Onur Kayiran (co-chair), AMD Research (Email: firstname.lastname@example.org )
Ashutosh Pattnaik (co-chair), Penn State/ARM (Email: email@example.com)
Mohamed Assem Ibrahim (submission/web chair), William & Mary (Email:
The goal of this workshop is to provide a forum to discuss new and emerging general-purpose graphics processing architectures, programming environments, and platforms, as well as evaluate applications that have been able to harness the horsepower provided by these platforms. Papers are being sought on many aspects of GPUs or accelerators, including (but not limited to):
GPU Programming Environments
GPU Runtime Systems
Non-von Neumann Architectures
Papers due: December 06, 2019
Notification: January 06, 2020
Final paper due: February 03, 2020
Workshop Date: February 23, 2020
Full paper submissions must be in PDF format for US letter-size paper. They must not exceed 10 pages (all-inclusive) in standard ACM two-column conference format (review mode, with page numbers and both 9 or 10pt can be used). The review process will be double-blind. Templates for ACM format are available for Microsoft Word, and LaTeX at: http://www.sigplan.org/authorInformation.htm
All accepted papers will be published in the ACM Online Conference Proceedings Series.
(Will be updated soon here: https://insight-archlab.github.io/gpgpu.html)
Please contact the organizers if you have any questions.
History and Impact
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. GPGPU 2020 workshop returns to PPoPP. 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.