[Openmp-dev] LLVM-HPC2017 Workshop at SC17 - Call for papers

[Hal Finkel via Openmp-dev]

Hi, everyone,

A quick reminder: The deadline for paper submissions for this year's 
LLVM in HPC workshop at SC17 is just over three weeks away. If you've 
been considering writing a paper, please do! Looking for a good place to 
write up some of your work with more focus on the implementation 
details? Here's a good place. Not sure if your topic is in scope? It 
probably is, but please feel free to ask me.

The proceeding of this workshop are published by ACM/IEEE.

If you don't have enough for a pull paper, we're also having lightning 
talks this year (although those are not part of the published proceedings).

Thanks again,
Hal

On 06/21/2017 06:40 PM, Hal Finkel wrote:
>                               CALL FOR PAPERS
>
> ============================================================================ 
>
>
>                                LLVM-HPC2017:
>        The Fourth Workshop on the LLVM Compiler Infrastructure in HPC
>                     http://llvm-hpc4-workshop.github.io/
>
>                       November 13th, 2017, Denver, CO
>                             In conjunction with
>                    SC17: The International Conference for
>                   High Performance Computing, Networking,
>                             Storage and Analysis
>
> ============================================================================ 
>
>
> The fourth annual LLVM in HPC Workshop, held in conjunction with SC17 
> and in
> cooperation with SIGHPC.
>
> 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 fourth 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 
> computing.
> 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
>
> NEW THIS YEAR: The workshop will hold a lightning-talk session. Please
> contribute to making this session both vibrant and informative! An 
> abstract
> and one-page summary is required for consideration.
>
> Deadlines:
>
>   * Paper submissions due: September 1, 2017
>   * Notification to authors of acceptance: September 28, 2017
>   * Camera-ready papers due: October 11, 2017
>   * Workshop takes place: November 13, 2017
>
> Please see the SC17 home page (http://sc17.supercomputing.org/) for
> registration deadlines and other information associated with the parent
> event.
>
> Submissions:
>
> We are using EasyChair to manage submissions:
>   https://easychair.org/conferences/?conf=llvmhpc2017
>
> Proceedings:
>
> The proceedings will be archived in both the ACM Digital Library and IEEE
> Xplore through SIGHPC.
>
> Organizer:
>
> Hal Finkel, Argonne National Laboratory, hfinkel at anl.gov
>
> Program Committee:
>
> Andrew Trick, Apple
> Cameron McInally, Cray
> Chandler Carruth, Google
> Erik Schnetter, Perimeter Institute for Theoretical Physics
> Frank Winter, Thomas Jefferson National Accelerator Facility
> Gary Funck, Intrepid Technology
> James Brodman, Intel
> Jeff Hammond, Intel
> Jim Cownie, Intel
> Keno Fischer, Julia Computing, Inc.
> Michael Wong, Codeplay
> Nadav Rotem, Apple
> Pat McCormick, Los Alamos National Laboratory
> Ralf Karrenberg, Saarland University
> Sameer Shende, University of Oregon
> Tobias Grosser, ETH Zürich
> Torsten Hoefler, ETH Zürich
>

-- 
Hal Finkel
Lead, Compiler Technology and Programming Languages
Leadership Computing Facility
Argonne National Laboratory