[hpc-announce] 12th Workshop on General Purpose Processing Using GPU (GPGPU 2019) @ ASPLOS 2019

[Adwait Jog]

[Apologies if you got multiple copies of this email]

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 at wm.edu)
Onur Kayiran (co-chair), AMD Research (Email: onur.kayiran at 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 4, 2019 (extended deadline!)
Notification: March 4, 2019
Final paper due: March 18, 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

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