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Volume 351 - International Symposium on Grids & Clouds 2019 (ISGC2019) - Supercomputing, High Throughput Computing, Accelerator Technologies, and their Integration
The BondMachine toolkit: Enabling Machine Learning on FPGA
M. Mariotti,* L. Storchi, D. Spiga, D. Salomoni, T. Boccali, D. Bonacorsi
*corresponding author
Full text: pdf
Published on: 2019 November 21
Abstract
The BondMachine (BM) is an innovative prototype software ecosystem aimed at creating facilities where both hardware and software are co-designed, guaranteeing a full exploitation of fabric capabilities (both in terms of concurrency and heterogeneity) with the smallest possible power dissipation.
In the present paper we will provide a technical overview of the key aspects of the BondMachine toolkit, highlighting the advancements brought about by the porting of Go code in hardware. We will then show a cloud-based BM as a Service deployment. Finally, we will focus on TensorFlow, and in this context we will show how we plan to benchmark
the system with a ML tracking reconstruction from pp collision at the LHC.
DOI: https://doi.org/10.22323/1.351.0020
Open Access
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