The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Authors: William Godoy (Oak Ridge National Laboratory (ORNL)), Pedro Valero-Lara (Oak Ridge National Laboratory (ORNL)), Johannes Blaschke (Lawrence Berkeley National Laboratory (LBNL)), Valentin Churavy (Massachusetts Institute of Technology (MIT)), Jeffrey Vetter (Oak Ridge National Laboratory (ORNL))
Abstract: The “Julia for HPC” birds-of-a-feather (BoF) aims to provide a place for the high-performance computing (HPC) community with interests in the Julia programming language. Julia proposes an integrated development end-to-end co-design model as a LLVM front-end for science to close the gap between high-productivity languages and the desired performance of traditional compiled languages on extreme heterogeneous systems. We invite participants from academia, government, and industry to share and discuss their experiences, identify and learn about current opportunities and gaps. Potential topics include: community, adoption and support in leadership facilities, the Julia ecosystem, programming models and packages targeting HPC workflows.
Long Description: The open-source Julia programming language has seen a rapid increase in adoption in scientific computing areas. Julia builds upon the large success of Fortran as an abstraction for numerical computing and large-scale simulations, while providing high-level abstractions for data analysis. Requirements in HPC workflows for scientific discovery encompass several aspects such as: performance portability on heterogeneous systems, end-to-end co-design, large-scale data management and storage. Julia uses a unified approach to close the gap to obtain the desired performance in C, C++, Fortran using MPI+X programming models for large-scale simulations, and the high productivity of dynamic languages used for data analysis and artificial intelligence frameworks. In addition, Julia puts performance, reproducibility and powerful instrumentation at the forefront of the language design and ecosystem.
The proposed targets the broader HPC community with interests in learning more about Julia as a viable HPC language. The first 30 minutes we would invite a series of lighting talks to discuss their experiences using Julia for HPC. These talks will cover topics such as application development, Julia HPC software stack for CPU, GPU, network and data, support at supercomputing facilities, interoperability with existing HPC frameworks, compilation via LLVM, training rapid prototyping, interactive computing, and current efforts across supercomputing centers. For the rest of the session, we will encourage the participation of the audience to trigger discussion around these and other topics of relevance to the Julia HPC community. The end goal is to identify the community and provide a platform for networking and ideas exchange from current and potential stakeholders reaching across different communities. We believe in the success of the proposed event as similar Julia for HPC BoF experiences have been recently offered in PASC, JuliaCon, and the U.S. Exascale Computing Project.
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