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GPGPU 2019 : General Purpose Processing on Graphics Processing Units

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Conference Series : General Purpose Processing on Graphics Processing Units
 
Link: https://insight-archlab.github.io/gpgpu.html
 
When Apr 13, 2019 - Apr 13, 2019
Where Providence, RI
Submission Deadline Feb 11, 2019
Notification Due Mar 11, 2019
Final Version Due Mar 25, 2019
Categories    gpu   accelerators
 

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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