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.
Date | Tuesday, August 27, 2024 | ||
Venue | Madrid, Spain, further details on https://2024.euro-par.org/nc/venue/ | ||
Contact | https://hps.vi4io.org/about/people/externals/anja_gerbes |
This workshop is powered by LLVM.
The workshop is organized by
The workshop is integrated into EURO-PAR 2024. We welcome everybody to join the workshop, including: