[hpc-announce] [CFP] LLVM-HPC Workshop at SC'24: Deadline Approaching

[Johannes de Fine Licht]

CALL FOR PAPERS: DEADLINE APPROACHING

================================================================================
                             	LLVM-HPC2024:
     	The Tenth Workshop on the LLVM Compiler Infrastructure in HPC
               	https://urldefense.us/v3/__https://llvm-hpc-2024-workshop.github.io/__;!!G_uCfscf7eWS!flPBbPT_IzmqpJK5vG2S8OCr_enEgYH8Vp-fg921J-zPWwGNxGI1ORaLYToo06aUyxwO_Af2wNp3mkFvulC3jzQD_Qw8ZxlQFbJP_w$ 
                                   	 
                   	November 17-22, 2024, Atlanta, GA
                          	In conjunction with
                 	SC24: The International Conference for
                	High Performance Computing, Networking,
                         	Storage, and Analysis
                                   	 
================================================================================

The tenth annual LLVM in HPC Workshop, held in conjunction with SC24 and in
cooperation with ACM and the IEEE Computer Society.

LLVM 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. The recent surge in AI
development has further proven the efficacy of the LLVM infrastructure as many
predominant AI/ML compilation systems deployed in practice leverage the MLIR
framework to exploit high level semantics provided by their frontends, while
maintaining a production grade and high performance software stack.

This tenth anniversary annual workshop will focus on recent developments, from
both academia and industry, that build on the LLVM ecosystem 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
  * Domain-specific compilation and optimization
  * Programming-language implementation techniques enabling high performance
	and high productivity
  * Embedding compilation and dynamic execution at scale
  * Tools for optimization, profiling, debugging, and feedback
  * Source-code transformation and analysis
  * Gap analyses of open-source LLVM-based tools

Deadlines:

  * Paper submissions due: August 16, 2024 (AoE)
  * Notification to authors of acceptance: September 6, 2024
  * Camera-ready papers due: September 15, 2024
  * Workshop takes place: November 17, 18, or 22, 2024 (TBD)

Please see the SC24 home page (https://urldefense.us/v3/__https://sc24.supercomputing.org/__;!!G_uCfscf7eWS!flPBbPT_IzmqpJK5vG2S8OCr_enEgYH8Vp-fg921J-zPWwGNxGI1ORaLYToo06aUyxwO_Af2wNp3mkFvulC3jzQD_Qw8ZxkkSAF2pA$ ) for
registration deadlines and other information associated with the parent event.

Submissions:

Please submit papers using the SC24 submissions system
(https://urldefense.us/v3/__https://submissions.supercomputing.org/__;!!G_uCfscf7eWS!flPBbPT_IzmqpJK5vG2S8OCr_enEgYH8Vp-fg921J-zPWwGNxGI1ORaLYToo06aUyxwO_Af2wNp3mkFvulC3jzQD_Qw8Zxmm9uhvzg$ ) by selecting the "SC24 Workshop:
LLVM-HPC2024 Full Papers" form. Submissions must be at least 6 and at most 10
two-column pages, excluding the bibliography, using the IEEE proceedings
template.

Direct links to the submission form and other information are available on the
workshop web page: https://urldefense.us/v3/__https://llvm-hpc-2024-workshop.github.io/__;!!G_uCfscf7eWS!flPBbPT_IzmqpJK5vG2S8OCr_enEgYH8Vp-fg921J-zPWwGNxGI1ORaLYToo06aUyxwO_Af2wNp3mkFvulC3jzQD_Qw8ZxlQFbJP_w$ 

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>
Johannes de Fine Licht, NextSilicon, johannes.definelicht at nextsilicon.com <mailto:johannes.definelicht at nextsilicon.com>
Ryan Kabrick, Tactical Computing Laboratories, rkabrick at tactcomplabs.com <mailto:rkabrick at tactcomplabs.com>
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
Johannes de Fine Licht, NextSilicon
Christian DeLozier, US Naval Academy
Tobias Grosser, University of Edinburgh
Mary Hall, University 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
Tarun Prabhu, Los Alamos National Laboratory
Nirmal Prajapati, Los Alamos National Laboratory
Nadav Rotem, Facebook
Amalee Wilson, Stanford University
Frank Winter, Thomas Jefferson National Accelerator Facility
Michael Wong, Codeplay Software Ltd., Khronos Group Inc.
Alex Zinenko, Google
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