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Exhibitor Forum
:
Productive and Performant AI Platforms of the Future
Event Type
Exhibitor Forum
Tags
Machine Learning
TimeWednesday, November 14th10:30am - 11am
LocationD171
DescriptionThus far, contributions to hardware and software tools for advanced analytics and artificial intelligence has come from the commodity/cloud computing community. In this talk, we share exciting results from efforts that ported software frameworks such as Apache Spark and TensorFlow onto high performance computing (HPC) hardware to make the case that HPC-approaches future-proof AI investments. We will demonstrate performance gains from combining a HPC interconnect with algorithmic cleverness using communication collectives for graph analytics, deep learning and matrix methods – all components of the modern data science and enterprise AI workflows. Based on experience from several use-cases, we will argue how HPC futureproofs investments for AI journey – particularly around emerging requirements around (I) non-traditional data (graphs, medical imagery, genomic sequences); (ii) building custom domain-specific models with hyper-parameter learning; (iii) the need for ensemble and model parallelism (iv) latency on edge-devices and training cadence with custom processors.
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