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GPGPU 2019 : General Purpose Processing on Graphics Processing UnitsConference Series : General Purpose Processing on Graphics Processing Units | |||||||||||||||
Link: https://insight-archlab.github.io/gpgpu.html | |||||||||||||||
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Call For Papers | |||||||||||||||
12th Workshop on General Purpose Processing Using GPU (GPGPU 2019) @ ASPLOS 2019
https://insight-archlab.github.io/gpgpu.html Organizers ======================================== Adwait Jog (co-chair), College of William & Mary (Email: ajog@wm.edu) Onur Kayiran (co-chair), AMD Research (Email: onur.kayiran@amd.com ) Ashutosh Pattnaik (submission/web chair), Penn State Overview ======================================== The goal of this workshop is to provide a forum to discuss new and emerging general-purpose programming architectures, environments, and platforms, as well as evaluate applications that have been able to harness the horsepower provided by these platforms. This year's workshop is particularly interested in security, new heterogeneous architecture or platforms, new forms of concurrency, and novel or irregular applications that can leverage 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 GPU security (NEW) Non-von Neumann architectures (NEW) Domain-specific architectures (NEW) Important Dates ======================================== Papers due: February 11, 2019 (extended deadline!) Notification: March 11, 2019 Final paper due: March 25, 2019 Workshop Date: April 13, 2019 Keynotes ======================================== This GPGPU workshop will have keynotes from Nael Abu-Ghazaleh, UC Riverside and Xipeng Shen, NCSU. More details will be available on the workshop website. Submission ======================================== 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 (preprint mode, with page number). Templates for ACM format are available for Microsoft Word, and LaTeX can be found here. The submission site will be up soon. Program Committee ======================================== Anthony Gutierrez, AMD Research Arkaprava Basu, IISc Asit Mishra, NVIDIA Bin Ren, William & Mary Biswabandan Panda, IIT Kanpur Daniel Wong, UCR David Kaeli, Northeastern Evgeny Bolotin, NVIDIA Hyeran Jeon, SJSU John Kim, KAIST University Kapil Vaswani, MSR, India Mark Silberstein, Technion Martin Burtscher, Texas State Minsoo Rhu, KAIST University Nandita Vijaykumar, CMU Rachata Ausavarungnirun, CMU Sonia Lopez Alarcon, RIT Sooraj Puthoor, AMD Research Sreepathi Pai, Rochester Tao Li, University of Florida Tim Rogers, Purdue Univ. Trevor Carlson, NUS Singapore Xin Fu, Univ. of Houston Yash Ukidave, AMD History and Impact ======================================== David Kaeli (Northeastern) and John Cavazos (Delaware) very successfully organized the previous versions of this GPGPU workshop, 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, GPGPU workshop was co-located with PPoPP. GPGPU 2019 workshop returns to ASPLOS. 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. Questions? ======================================== Please contact the organizers if you have any questions. The latest information will be always available here: https://insight-archlab.github.io/gpgpu.html |
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