[hpc-announce] Call for Papers: GPGPU 2020 @ PPoPP 2020

Adwait Jog adwait at cs.wm.edu
Mon Nov 18 08:32:42 CST 2019

13th Workshop on General Purpose Processing Using GPU (GPGPU 2020) @ PPoPP 2020

Adwait Jog (co-chair), William & Mary (Email: ajog at wm.edu)
Onur Kayiran (co-chair), AMD Research (Email: onur.kayiran at amd.com )
Ashutosh Pattnaik (co-chair), Penn State/ARM (Email: ashutosh at psu.edu)
Mohamed Assem Ibrahim (submission/web chair), William & Mary (Email:
maibrahim at email.wm.edu)

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 Applications
GPU Programming Environments
GPU Runtime Systems
GPU Compilation
GPU Architectures
Multi-GPU Systems
GPU Power/Efficiency
GPU Reliability
GPU Benchmarking/Measurements
Heterogeneous Architectures/Platforms
Non-von Neumann Architectures
Domain-specific Architectures
GPU Security
Machine/Deep Learning

Important Dates
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

Submission site is hosted here: https://gpgpu2020.hotcrp.com/

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

Program Committee
Akhil Arunkumar, Samsung
Amir Yazdanbakhsh, Google Research
Anthony Gutierrez, AMD Research
Bin Ren, William & Mary
Biswabandan Panda, IIT Kanpur
Bo Wu, Colorado School of Mines
Daniel Wong, University of California, Riverside
David Kaeli, Northeastern University
Elaheh Sadredini, University of Virginia
Gunjae Koo, Hongik University
Huiyang Zhou, North Carolina State University
Hyeran Jeon, San Jose State University
Jieming Yin, AMD Research
Jin Wang, NVIDIA
Karthik Vadambacheri Manian, The Ohio State University
Meena Arunachalam, Intel
Mehmet E. Belviranli, Colorado School of Mines
Michael Gowanlock, Northern Arizona University
Michael LeBeane, AMD Research
Nael Abu-Ghazaleh, University of California, Riverside
Nandita Vijaykumar, Carnegie Mellon University
Newsha Ardalani, Baidu Research
Philip Garcia, ARM
Rachata Ausavarungnirun, KMUTNB, Thailand
Sonia Lopez Alarcon, Rochester Institute of Technology
Xia Zhao, Ghent University
Yifan Sun, Northeastern University
Zeid Samoail, ARM

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.

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