[hpc-announce] [CFP] LLVM-HPC Workshop at SC'26 | Deadline: August 14, 2026

[Johannes de Fine Licht]

CALL FOR PAPERS

================================================================================

                                 LLVM-HPC2026:
        The Twelfth Workshop on the LLVM Compiler Infrastructure in HPC
    https://urldefense.us/v3/__https://llvm-in-hpc-workshop.github.io/LLVM-HPC-2026-Workshop.github.io/__;!!G_uCfscf7eWS!ZkOg9x-gXugXoNgD_REyjOGGM4ywwjMufoIEJNfUP_x2wteFL5QPS23461BRIRT5VB44zJRgoruRZfNSxX8hN_xJ1vH2acTDbSOt7A$ 

                      November 15 or 16, 2026, Chicago, IL
                              In conjunction with
                     SC26: The International Conference for
                    High Performance Computing, Networking,
                             Storage, and Analysis

================================================================================

The twelfth annual LLVM in HPC Workshop, held in conjunction with SC26 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 twelfth 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 (including for AI/ML workloads)
  * 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 14, 2026 (AoE)
  * Notification to authors of acceptance: September 4, 2026
  * Camera-ready papers due: September 25, 2026
  * Workshop takes place: November 15 or 16, 2026

Please see the SC26 home page (https://urldefense.us/v3/__https://sc26.supercomputing.org/__;!!G_uCfscf7eWS!ZkOg9x-gXugXoNgD_REyjOGGM4ywwjMufoIEJNfUP_x2wteFL5QPS23461BRIRT5VB44zJRgoruRZfNSxX8hN_xJ1vH2acSxYiXW8w$ ) for
registration deadlines and other information associated with the parent event.

Submissions:

Please submit papers using the SC26 submissions system
(https://urldefense.us/v3/__https://submissions.supercomputing.org/__;!!G_uCfscf7eWS!ZkOg9x-gXugXoNgD_REyjOGGM4ywwjMufoIEJNfUP_x2wteFL5QPS23461BRIRT5VB44zJRgoruRZfNSxX8hN_xJ1vH2acR3jb7ITA$ ) by selecting the "SC26 Workshop:
LLVM-HPC2026 Full Papers" form. Submissions must be at least 5, at most 8,
two-column pages, excluding the bibliography and references, using the ACM
proceedings template. Papers will be reviewed by at least 3 reviewers in a
single-blind process.

Direct links to the submission form and other information are available on the
workshop web page: https://urldefense.us/v3/__https://llvm-in-hpc-workshop.github.io/LLVM-HPC-2026-Workshop.github.io/__;!!G_uCfscf7eWS!ZkOg9x-gXugXoNgD_REyjOGGM4ywwjMufoIEJNfUP_x2wteFL5QPS23461BRIRT5VB44zJRgoruRZfNSxX8hN_xJ1vH2acTDbSOt7A$ 

Proceedings:

The proceedings will be published in the SC Workshops Proceedings volume.

Organizers:

James Brodman, AMD, james.brodman at amd.com
Johannes de Fine Licht, NextSilicon, johannes.definelicht at nextsilicon.com
Ryan Kabrick, Tactical Computing Laboratories, rkabrick at tactcomplabs.com
Alexis Perry-Holby, Los Alamos National Laboratory, aperry at lanl.gov

Program Committee:

Madhur Amilkanthwar, NVIDIA
James Brodman, AMD
Johannes de Fine Licht, NextSilicon
Christian DeLozier, US Naval Academy
Ryan Kabrick, Tactical Computing Labs, LLC
Cameron McInally, NVIDIA
Fabian Mora, Brium Inc.
Alexis Perry-Holby, Los Alamos National Laboratory
Tarun Prabhu, Los Alamos National Laboratory
Shilei Tian, AMD
Frank Winter, Thomas Jefferson National Accelerator Facility
Alex Zinenko, Brium Inc.
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