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Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas  spanned by multiple horizontal data pipelines, platforms, and algorithms.  We are unifying data science and data engineering, showing what really works to run businesses at scale.
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Thursday, May 19 • 3:00pm - 3:40pm
Hidden GEMMs: How Optimized Math Libraries Work

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Fast linear algebra is the foundation of all machine learning, including deep learning. Have you ever wondered how CUBLAS, MKL and similar libraries work? If so, this talk is for you!

Speakers
avatar for Marek Kolodziej

Marek Kolodziej

Principal Research Engineer, Nitro
Marek Kolodziej is a Principal Research Engineer at Nitro, Inc. He's been working on a diverse set of machine learning, distributed computing and big data problems for the past 6 years, and statistics and econometrics for the past 11. His current passion is deep learning and GPU computing. Marek got his PhD in Energy and Environmental Economics from Boston University.



Thursday May 19, 2016 3:00pm - 3:40pm
Ada

Attendees (9)