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Thursday, November 15 • 4:20pm - 5:00pm
H2O internals

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H2O does in-memory analytics on clusters with distributed parallelized state-of-the-art Machine Learning algorithms.  However, the platform is very generic, and very very fast.  H2O.ai builds Machine Learning tools with it, but the platform can do much more.  H2O includes a K/V store exact semantics with typical read and write speeds of ~200ns; a highly compressed Big Data in-memory storage typically better than 2x to 4x gzip-on-disk size, which can read and decompress the data at C/Fortran speed; a pure-Java clean and simple coding style to write parallel & distributed code; a generic serializer that's well faster than protobuf or kryo and does not need an special registration or markup language; a large set of building blocks for common math operations, and of course a library of state-of-the-art ML algorithms.  This is a low-level systems' implementation talk of H2O's design.

avatar for Cliff Click

Cliff Click

CEO, Rocket Realtime School
Cliff Click was the CTO of Neurensic (now successfully exited), and CTO and Co-Founder of h2o.ai (formerly 0xdata), a firm dedicated to creating a new way to think about web-scale math and real-time analytics. He wrote my first compiler when Ihewas 15 (Pascal to TRS Z-80!), although his most famous compiler is the HotSpot Server Compiler (the Sea of Nodes IR). Cliff helped A... Read More →

Thursday November 15, 2018 4:20pm - 5:00pm

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