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Thursday, April 4 • 8:30am - 9:25am
BKK19-402 Inferencing at the edge and Fragmentation Challenges

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As deep learning (DL) expands is application into ever more areas, DL at the edge has become an area of rapid innovation and has also become highly fragmented. This creates a challenge in the ecosystem for framework providers that want to take advantage of specialized hardware, and an equal challenge for SoC providers, or makers of DL accelerators that need to support various frameworks, customer innovations, device constraints, etc. This talk will explore what constitutes DL at the edge, it will highlight the recent trends in this area from runtimes and compilers, to model formats, and explore the challenges, and scalability needs of collaborative solutions.

Speakers
avatar for Mark Charlebois

Mark Charlebois

Director Engineering, Qualcomm Technologies Inc
Presently in QCT for Qualcomm Technologies Inc (QTI), working on a Deep Learning framework for Qualcomm SoCs and as an open source software strategist. Mark has represented QTI on the Linux Foundation board, and served on the Dronecode board, and Core Infrastructure Initiative steering... Read More →



Thursday April 4, 2019 8:30am - 9:25am
Keynote Room (World Ballroom BC)

Attendees (52)




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