BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Mathworks: MATLAB and NVIDIA Docker: A Complete AI Solution\, Wher
 e You Need It\, in an Instant - Dr. Jos Martin\, Senior Engineering Manage
 r - Parallel Computing
DTSTART:20191125T130000Z
DTEND:20191125T143000Z
UID:TALK133657@talks.cam.ac.uk
CONTACT:Christine Georgiou
DESCRIPTION:MATLAB's deep learning\, visualization\, and C++/CUDA code gen
 eration technology make it a uniquely complete solution for your entire AI
  workflow. In MATLAB\, you can easily manage data\, perform complex image 
 and signal processing\, prototype and train deep networks\, and deploy to 
 your desktop\, embedded or cloud environments. Using GPU Coder technology 
 MATLAB generates CUDA kernels that optimize loops and memory access\, and 
 C++ that leverages cuDNN and TensorRT\, providing the fastest deep network
  inference of any framework. With MATLAB's NVIDIA docker container availab
 le through the NVIDIA GPU Cloud\, you can now easily access all this AI po
 wer\, deploy it in your cloud or DGX environment\, and get up and running 
 in seconds. In this presentation we will demonstrate a complete end-to-end
  workflow that starts from 'docker run'\, prototypes and trains a network 
 on a multi-GPU machine in the cloud\, and ends with a highly optimized inf
 erence engine to deploy to data centers\, clouds\, and embedded devices.
LOCATION:FW26\, Computer Laboratory
END:VEVENT
END:VCALENDAR