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LLVM-GPU 2024 : LLVM-GPU: First International Workshop on LLVM for GPUs


When Aug 27, 2024 - Aug 27, 2024
Where Madrid, Spain
Submission Deadline May 6, 2024
Notification Due Jun 20, 2024
Final Version Due Jul 1, 2024
Categories    distributed systems   compilers   gpu   parallel programming

Call For Papers

** Workshop details
Euro-Par is the prime European conference covering all aspects of
parallel and distributed processing, ranging from theory to practice,
from small to the largest parallel and distributed systems and
infrastructures, from fundamental computational problems to
full-fledged applications, from architecture, compiler, language and
interface design and implementation, to tools, support
infrastructures, and application performance aspects. Euro-Par’s
unique organization into topics provides an excellent forum for
focused technical discussion, as well as interaction with a large,
broad and diverse audience.

New to Euro-Par workshops, the LLVM-GPU workshop is dedicated to
bringing researchers and practitioners who are interested in LLVM for
GPUs. Co-located with Euro-Par 2024, this full day workshop will be
held on the 27th of August in Madrid, Spain. The proceedings of the
workshop will be published in the workshop proceedings volume of
Euro-Par 2024 by Springer.

** Workshop scope
The LLVM framework is a vast ecosystem that stretches far beyond a
"simple" C/C++ compiler. The variety of programming language and
toolchain-related parts help to support most programming models for
GPUs, including CUDA, HIP, OpenACC, OpenCL, OpenMP, SYCL, and
offloading C++ and Fortran native parallelism. In addition, LLVM
serves as a vehicle for various languages in which parallelism is a
first-class citizen, such as Julia or Chapel. Summarized, LLVM plays a
central role in the GPU offloading landscape, and with the creation of
the LLVM/Offload subproject, we expect features and collaborations in
this space to grow even further and faster. In this workshop, held in
conjunction with the Euro-Par 2024 conference, researchers are invited
to speak about experiences, extensions, and ideas for GPU usage,
especially those related to LLVM. Through this forum, we believe
industry and academia can come together and exchange thoughts on the
future of (GPU) offloading.

Workshop topics We invite submissions of high-quality, original
research results, user reports, and works-in-progress on LLVM for
GPUs. Topics of interest for this workshop include (but are not
limited to):

• Contributions related to GPU usage with LLVM
• User reports and use-cases and case-studies with LLVM on GPUs
• GPU offloading
• Extensions for GPUs
• Compilers, languages targeting GPUs with LLVM
• GPU runtimes
• Performance evaluation tools and performance studies using LLVM on GPUs
• Lessons learned from leveraging LLVM for GPUs
• Industry papers exploring the use of LLVM for GPUs

** Submission Guidelines
Authors are invited to submit unpublished, original work. Accepted
papers will appear in the post-conference workshop proceedings in the
Springer Lecture Notes in Computer Science (LNCS) series and submitted
versions will be available online for the workshop. Submissions of
original work are welcomed on work-in-progress, position papers, or
mature work. All papers should be submitted via EasyChair at

All papers should be formatted using Springer single column LNCS
style, with formatting information and templates at

Publications must be in PDF format and should not exceed 12 pages
(including references). Short papers can be accepted and presented at
the workshop. However, to be included in the formal Springer
proceedings, the minimum length is of 10 pages per paper (including
references). Contributions submitted elsewhere or currently under
review will not be considered.

** Organization

Organizing committee
• Johannes Doerfert (LLNL, USA)
• Anja Gerbes (TU Dresden, Germany)
• Sameer Shende (University of Oregon, USA)

Program Committee
• Sunita Chandrasekaran, U. Delaware, USA
• Jeffrey Vetter, ORNL, USA
• John Linford, NVIDIA, USA
• Markus Velten, TU Dresden, Germany
• Hartwig Anzt, TU Munich, Germany
• Shilei Tian, AMD, USA
• Georgiana Mania, DKRZ, Germany
• William Moses, UIUC, USA
• Ivan Ivanov, Tokyo Tech and RIKEN CCS, Japan
• Johannes De Fine Licht, Next Silicon, Switzerland
• Carlos Eduardo Gonzalo, NVIDIA, Germany
• Jean-Baptiste Besnard, ParaTools, SAS, France
• Hervé Yviquel, UNICAMP, Brazil
• Thomas Schwinge, BayLibre, Germany
• Tom Lin, U. Bristol, UK

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