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X-LIC-LOCATION:Europe/Stockholm
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TZNAME:CEST
DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20191206T142523Z
LOCATION:Panorama 2
DTSTART;TZID=Europe/Stockholm:20180627T134500
DTEND;TZID=Europe/Stockholm:20180627T151500
UID:isc_hpc_ISC High Performance 2018_sess180@linklings.com
SUMMARY:Scalable Machine Learning Systems
DESCRIPTION:Machine Learning Day\n\nForging Large Scale AI Supercomputing 
 - Inspiration from NVIDIA's SATURNV Supercomputer\n\nCapps\n\nExciting adv
 ances in technology have propelled AI computing to the forefront of mainst
 ream applications.  The desire to drive advanced visualization with photo 
 realistic real-time rendering and efficient exa-scale class high performan
 ce computing fed with huge scale data collection have driven devel...\n\n-
 --------------------\nMachine Learning Hardware Targeted for Automotive Ap
 plication: Requirements and Constraints\n\nVogginger, Schlicht\n\nWhile ma
 chine learning is a key technology for autonomous driving, its application
  in an automotive environment poses severe constraints on processing power
  and energy consumption. This asks for combined hardware-software optimiza
 tion approaches, maximally utilizing the available power budget and sy...\
 n\n---------------------\nOn Scale-out Deep Learning Training for Cloud an
 d HPC\n\nDubey\n\nThe exponential growth of Artificial Intelligence (AI) a
 nd Deep Learning (DL) has accelerated the need for training deep neural ne
 tworks in hours or even minutes. This can only be achieved through scalabl
 e and efficient distributed training, since a single node/card cannot sati
 sfy the compute, memor...\n\n\nPasses: Conference Pass, AI/Machine Learnin
 g/Deep Learning\n\nTag: Conference Pass, AI/Machine Learning/Deep Learning
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