A revolution is occurring across the GPU software stack, driven by the disruptive performance gains GPUs have seen generation after generation - but for all of the innovation occurring in this ecosystem, the systems & platforms themselves still remain isolated from each other.

Bill Maimone, the VP of Engineering of MapD, will discuss how to create common data frameworks to enable efficient intra-GPU communication between different processes running on the GPUs, & will explain how these frameworks will enable developers & statistical researchers to accelerate data science & machine learning on GPUs by allowing resident applications to interchange data seamlessly & efficiently. Bio
As VP of Engineering at MapD, Bill Maimone is responsible for leading the engineering team in architecting & delivering the the companys suite of database, visualization & GIS solutions. Prior to MapD, Bill was the VP of Engineering at Anaplan & held similar roles with Salesforce & Actian. Bill began his career at Oracle, where he spent two decades, finishing as a Vice President with responsibility for over five hundred members of the R&D team across four continents. He holds a M.S. & a B.S. in Computer Science & a Bachelor of Science in Journalism from the Massachusetts Institute of Technology.

Schedule

6:00 - 6:30 Food & Drinks

6:30 - 7:30 Session

7:30 - 8 Schmooze