Introduction

Open Hackathons provide exciting opportunities for scientists to accelerate their AI or HPC research under the guidance of expert mentors from national laboratories, universities and industry leaders in a collaborative environment. Representing distinguished scholars and preeminent institutions around the world, these teams of mentors and attendees work together to realize performance gains and speedups using a variety of programming models, libraries and tools.

Background

Currently there are several large-scale computing systems in the US that are based on General-Purpose Graphic Processing Units, or GPGPUs, including Summit at ORNL, Sierra at Lawrence Livermore National Lab and the Perlmutter machine at NERSC. In addition, the upcoming exascale computers, Aurora at Argonne National Laboratory (ANL), and Frontier at Oak Ridge National Laboratory (ORNL), will have GPU accelerators as well. These GPU-based supercomputers offer tremendous computing power for science and engineering, but writing efficient software to take full advantage of them may be challenging. In addition, large-scale multicore CPU-based systems continue to play an important role for many scientific applications. Scaling up these CPU-based applications may also require deep understanding of inter-node and intra-node computational characteristics.

Goal

The goal of the Open Hackathon is for computational scientists to port, accelerate and optimize their scientific applications to modern computer architectures, including CPUs, GPUs and other computing technologies. Participating teams should leave the event either with their applications accelerated and/or optimized on the latest supercomputing hardware or a clear roadmap of the next steps needed to leverage these resources.

This Hackathon is open to everyone looking to take their projects to the next level; however, priority acceptance will be given to BNL affiliated scientists and their collaborators.

Past Events

View information from previous events.

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