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Open GPU-Accelerated Data Analytics

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OVH

1801 McGill College

8th Floor

Montréal, QC H3A 1Z4

Canada

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Description

A revolution is occurring across the GPU software stack, driven by the disruptive performance gains GPUs have seen generation after generation. The modern field of deep learning would have not been possible without GPUs, and as a database we are often seeing two-or-more orders of magnitude performance gains compared to CPU systems.

But for all of the innovation occurring in the GPU software ecosystem, the systems and platforms themselves still remain isolated from each other. Even though the individual components are seeing significant acceleration from running on the GPU, they must intercommunicate over the relatively thin straw of the PCIe and then through CPU memory.

In this session, Aaron Williams will make a case for the open source community to enable efficient intra-GPU communication between different processes running on the GPUs. He will discuss (and provide examples) how this integration will allow developers to build new functions to cluster or perform analysis on queries, and will make seamless workflows that combine data processing, machine learning (ML), and visualization possible without ever needing to leave the GPU.


Speaker

Aaron Williams, VP of Global Community, MapD

Aaron is responsible for MapD’s developer, user and open source communities. He comes to MapD with more than two decades of previous success building ecosystems around some of software’s most familiar platforms. Most recently he ran the global community for Mesosphere, including leading the launch and growth of DC/OS as an open source project. Prior to that he led the Java Community Process at Sun Microsystems, and ecosystem programs at SAP. Aaron has also served as the founding CEO of two startups in the entertainment space. Aaron has an MS in Computer Science and BS in Computer Engineering from Case Western Reserve University.


Schedule

5:30 | Doors Open and Networking
5:45 | Introduction and News (in French)
6:00 | Open GPU-Accelerated Data Analytics (in English)
7:00 to 7:30 | Q&A (in French or in English)

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Date and Time

Location

OVH

1801 McGill College

8th Floor

Montréal, QC H3A 1Z4

Canada

View Map

Refund Policy

No Refunds

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