[hpc-announce] Call for Papers! - LLVM-HPC2023 at SC23

[Perry-Holby, Alexis]

CALL FOR PAPERS


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                               LLVM-HPC2023:

       The Ninth Workshop on the LLVM Compiler Infrastructure in HPC

                 https://llvm-hpc-2023-workshop.github.io/


                      November 12th, 2023, Denver, CO

                            In conjunction with

                   SC23: The International Conference for

                  High Performance Computing, Networking,

                            Storage, and Analysis


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The ninth annual LLVM in HPC Workshop, held in conjunction with SC23 and in cooperation with ACM and the IEEE Computer Society.


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 ninth 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


Deadlines:


  * Paper submissions due: August 16, 2023

  * Notification to authors of acceptance: September 8, 2023

  * Camera-ready papers due: September 29, 2023

  * Workshop takes place: November 12, 2023


Please see the SC23 home page (https://sc23.supercomputing.org/) for

registration deadlines and other information associated with the parent event.


Submissions:


Please submit papers using the SC23 submissions system

(https://submissions.supercomputing.org/) by selecting the "SC23

Workshop: LLVM-HPC2023 Full Papers" form. Papers must use the new proceedings templates and the CCS2012 guide (available at: https://www.acm.org/publications/proceedings-template), should be no more than 12 pages (including references and figures), and must be at least 6 pages long.


Direct links to the submission form and other information are available on the workshop web page.


Proceedings:


The proceedings will be archived in IEEE Xplore through IEEE CS.


Organizers:


James Brodman, Intel Corporation, james.brodman at intel.com<mailto:james.brodman at intel.com>

Ryan Kabrick, Tactical Computing Laboratories, rkabrick at tactcomplabs.com<mailto:rkabrick at tactcomplabs.com>

Patrick McCormick, Los Alamos National Laboratory, pat at lanl.gov<mailto:pat at lanl.gov>

Alexis Perry-Holby, Los Alamos National Laboratory, aperry at lanl.gov<mailto:aperry at lanl.gov>


Program Committee:


Madhur Amilkanthwar, NVIDIA

James Brodman, Intel Corporation

Sunita Chandrasekaran, University of Delaware

Christian DeLozier, US Naval Academy

Tobias Grosser, University of Edinburgh

Mary Hall, Univeristy of Utah

Ryan Kabrick, Tactical Computing Labs, LLC

Alice Koniges, University of Hawaii, Maui HPC Center

John Leidel, Tactical Computing Labs, LLC

Patrick McCormick, Los Alamos National Laboratory

Cameron McInally, NVIDIA

Alexis Perry-Holby, Los Alamos National Laboratory

Nirmal Prajapati, Los Alamos National Laboratory

Nadav Rotem, Facebook

Amalee Wilson, Stanford University

Frank Winter, Thomas Jefferson National Accelerator Facility

Alex Zinenko, Google