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BEGIN:VEVENT
DTSTAMP:20190719T085754Z
LOCATION:HG E 3
DTSTART;TZID=Europe/Stockholm:20190613T111500
DTEND;TZID=Europe/Stockholm:20190613T131500
UID:submissions.pasc-conference.org_PASC19_sess121@linklings.com
SUMMARY:MS22 - On the Use of Exotic Computation Architectures in High Ener
 gy Physics Applications
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Physi
 cs\n\nQuantum Computing for Particle Physics Applications\n\nSpentzouris, 
 Vlimant\n\nQuantum Information Science exploits quantum properties of phys
 ical systems for acquiring, communicating, and processing information beyo
 nd classical capabilities. Successful applications of Quantum Computing co
 uld be beneficial, potentially transformational, for High Energy Physics (
 HEP).  Suc...\n\n---------------------\nFPGA-Accelerated Deep Learnin
 g Inference for Particle Physics Applications\n\nNgadiuba\n\nDeep learning
  algorithms are widely used in various fields, e.g., computer vision, spee
 ch recognition, or natural language processing, and are becoming ubiquitou
 s across particle physics. As these models are getting larger and larger, 
 the computational complexity poses severe demands in terms of res...\n\n--
 -------------------\nNeuromorphic Computing for High Energy Physics Applic
 ations\n\nSchuman, Potok\n\nNeuromorphic computing systems have many chara
 cteristics that make them amenable to processing scientific data, includin
 g the ability to deal with spatio-temporal data, low power implementations
 , real-time processing, and/or fast neural network computation.  In t
 his presentation, a brief overvi...\n\n---------------------\nPanel on Pro
 spects of Emerging Architecture in the Field of High Energy Physics\n\nVli
 mant\n\nWe will close the minisymposium with a panel discussion on the per
 spective and challenges related to the introduction of new hardware archit
 ectures and the way they promise to change the High Energy Physics computi
 ng model. The focus will be on FPGA and neuromorphic hardware that will ha
 ve a direct ...\n
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