2nd International Workshop on Machine Learning Hardware

Organizers:

• Rosa M. Badia (Barcelona Supercomputing Center)
• Pete Beckman (Argonne National Laboratory)
• Swann Perarnau (Argonne National Laboratory)
• Valentin Reis (Groq)
• Kentaro Sano (Riken)

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Abstract:

Recent years have seen a surge of investment in AI chip companies worldwide. These companies are however mostly targeting applications outside of the scientific computing community. As the use of ML accelerates in the HPC field itself, there is concern that the scientific community should influence the design of this new specialized hardware. Indeed, scientific computing has a distinctive set of requirements regarding workload type, usage model, and platform administration. How those chips answer those demands will shape the future of their integration within the global scientific computing infrastructure. In this workshop, we propose to let the community and select vendors engage on questions related to the low-level aspects of this new hardware and its integration with HPC systems, as well as to the software APIs and compiler toolchains that will be available. This proposal follows the outcome of a successful ISC20 workshop where an emphasis on compiler technology emerged. In this iteration, we will push the agenda further by discussing existing efforts to leverage ML hardware for scientific HPC applications.

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