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DTSTAMP:20211207T055402Z
LOCATION:240-241-242
DTSTART;TZID=America/Chicago:20211116T133000
DTEND;TZID=America/Chicago:20211116T150000
UID:submissions.supercomputing.org_SC21_sess150@linklings.com
SUMMARY:Application Performance Optimization
DESCRIPTION:Paper\n\nMeeting the Real-Time Challenges of Ground-Based Tele
 scopes Using Low-Rank Matrix Computations\n\nLtaief, Cranney, Gratadour, H
 ong, Gatineau...\n\nAdaptive Optics (AO) is a technology that permits to m
 easure and mitigate the distortion effects of atmospheric turbulence on op
 tical beams. AO must operate in a real-time environment by controlling tho
 usands of actuators to shape the surface of deformable mirrors deployed on
  ground-based telescopes...\n\n---------------------\nAgEBO-Tabular: Joint
  Neural Architecture and Hyperparameter Search with Autotuned Data-Paralle
 l Training for Tabular Data\n\nEgele, Balaprakash, Guyon, Vishwanath, Xia.
 ..\n\nDeveloping high-performing predictive models for large tabular data 
 sets is a challenging task. Neural architecture search (NAS) is an AutoML 
 approach that generates and evaluates multiple neural networks (NNs) with 
 different architectures concurrently to automatically discover a high-perf
 orming mod...\n\n---------------------\nBootstrapping In-Situ Workflow Aut
 o-Tuning via Combining Performance Models of Component Applications\n\nShu
 , Guo, Wozniak, Ding, Foster...\n\nIn an in-situ workflow, multiple compon
 ents such as simulation and analysis applications are coupled with streami
 ng data transfers. The multiplicity of possible configurations necessitate
 s an auto-tuner for workflow optimization. Existing auto-tuning approaches
  are computationally expensive because ...\n\n\nTag: Algorithms, Applicati
 ons, Performance\n\nRegistration Category: Tech Program Reg Pass
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