|LLVM-HPC2018 Workshop at SC18 - Call for papers (Texas, Nov 18) email@example.com (Hal Finkel) (2018-07-11)|
|From:||Hal Finkel <firstname.lastname@example.org>|
|Date:||Wed, 11 Jul 2018 19:36:01 -0500|
|Organization:||Argonne National Laboratory|
|Injection-Info:||gal.iecc.com; posting-host="news.iecc.com:2001:470:1f07:1126:0:676f:7373:6970"; logging-data="35867"; mail-complaints-to="email@example.com"|
|Posted-Date:||18 Jul 2018 16:29:40 EDT|
CALL FOR PAPERS
The Fifth Workshop on the LLVM Compiler Infrastructure in HPC
November 12th, 2018, Dallas, TX
In conjunction with
SC18: The International Conference for
High Performance Computing, Networking,
Storage, and Analysis
The fifth annual LLVM in HPC Workshop, held in conjunction with SC18 and
in cooperation with TCHPC.
LLVM, winner of the 2012 ACM Software System Award, has become an
integral part of the software-development ecosystem for optimizing
compilers, dynamic-language execution engines, source-code analysis and
transformation tools, debuggers and linkers, and a whole host of
programming-language and toolchain-related components. Now heavily used
in both academia and industry, where it allows for rapid development of
production-quality tools, LLVM is increasingly used in work targeted at
high-performance computing. Research in, and implementation of, program
analysis, compilation, execution, and profiling has clearly benefited
from the availability of a high-quality, freely-available infrastructure
on which to build.
This fifth annual workshop will feature contributed papers and invited
talks focusing on recent developments, from both academia and industry,
that build on LLVM to advance the state of the art in high-performance
Topics of interest include, but are not limited to:
* Compiler design for highly-concurrent/parallel environments
* Compilation techniques targeted at high-performance-computing codes
* Programming-language implementation techniques enabling high
performance and high productivity
* Embedding compilation and dynamic execution at scale
* Tools for optimization, profiling, and feedback
* Source code transformation and analysis
* Gap analyses of open-source LLVM-based tools
Lightning Talks: The workshop will hold a lightning-talk session. Please
contribute to making this session both vibrant and informative! An
abstract and one-page summary are required for consideration.
* Paper submissions due: September 1, 2018
* Notification to authors of acceptance: September 28, 2018
* Camera-ready papers due: October 8, 2018
* Workshop takes place: November 12, 2018
Please see the SC18 home page (http://sc18.supercomputing.org/) for
registration deadlines and other information associated with the parent
Please submit papers using the SC18 submissions system
(https://submissions.supercomputing.org/) by selecting the "SC18
Workshop: LLVM-HPC2018 Full Papers" form. Papers must be in IEEE
conference format, should be no more than 12 pages (including references
and figures), and must be at least eight pages long.
To submit a lightning talk, please use the "SC18 Workshop: LLVM-HPC2018
Lightning Talks" form.
Direct links to the submission forms and other information are available
on the workshop web page.
The proceedings will be archived in IEEE Xplore through TCHPC.
Lightning-talk summaries will not be included in the proceedings.
Hal Finkel, Argonne National Laboratory, firstname.lastname@example.org
Alexis Perry, Los Alamos National Laboratory
Cameron McInally, Cray
Chandler Carruth, Google
Erik Schnetter, Perimeter Institute for Theoretical Physics
Frank Winter, Thomas Jefferson National Accelerator Facility
James Brodman, Intel
Jeff Hammond, Intel
Jim Cownie, Intel
Keno Fischer, Julia Computing, Inc.
Michael Wong, Codeplay
Nadav Rotem, Facebook
Pat McCormick, Los Alamos National Laboratory
Ralf Karrenberg, NVIDIA
Sameer Shende, University of Oregon
Sunita Chandrasekaran, University of Delaware
Teresa Johnson, Google
Tobias Grosser, ETH Zürich
Torsten Hoefler, ETH Zürich
Lead, Compiler Technology and Programming Languages
Leadership Computing Facility
Argonne National Laboratory
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