Presentations

Presented at: Mira Performance Boot Camp - 2014
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The INCITE Process
May 2014
Mira Performance Boot Camp - 2014
PDF icon The INCITE Process
TAU Performance Tools
May 2014
Mira Performance Boot Camp - 2014
PDF icon TAU Performance Tools
Presented at: Mira Community Conference
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The Challenges of Developing a High-Resolution Climate Model for the IBM:BG/Q Platform
March 2013
Mira Community Conference
PDF icon anl_03_06-07_2013.pdf
TAU
March 2013
Mira Community Conference
PDF icon MiraCon_TAU.pdf
SPI, mapping, and site ordering in Lattice QCD code on Mira
March 2013
Mira Community Conference
PDF icon MiraCon.HeechangNa.SPI_.pdf
Scalable DNS code for high Reynolds number channel flow simulation on BG/Q
March 2013
Mira Community Conference
PDF icon Miracon_2013.pdf
Presented at: 2017 ALCF Computational Performance Workshop
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The Allinea DDT Debugger and MAP Performance Profiler
May 2017
2017 ALCF Computational Performance Workshop
PDF icon The Allinea DDT Debugger and MAP Performance Profiler
TAU Performance Analysis
May 2017
2017 ALCF Computational Performance Workshop
PDF icon TAU Performance Analysis
Spark on Theta
May 2017
2017 ALCF Computational Performance Workshop
PDF icon Spark on Theta
Presented at: July. 2018 ALCF Developer Sessions
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TensorFlow Optimizations on Modern Intel Architectures
July 2018
July. 2018 ALCF Developer Sessions
PDF icon TensorFlow Optimizations on Modern Intel Architectures
Presented at: Mira Performance Boot Camp - May 2013
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TAU Performance Tools
May 2013
Mira Performance Boot Camp - May 2013
PDF icon tau_mbc13.pdf
Presented at: Mira Performance Boot Camp - 2015
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TAU Performance System
May 2015
Mira Performance Boot Camp - 2015
PDF icon TAU_Performance_System.pdf
Presented at: Fall 2018 Simulation, Data and Learning
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TAU Performance Analysis
October 2018
Fall 2018 Simulation, Data and Learning
PDF icon TAU Performance Analysis
Spark Tips and Tricks including Alchemist
October 2018
Fall 2018 Simulation, Data and Learning
PDF icon Ringenburg ALCF SDL Oct18 Alchemist.pdf
Run-to-run Variability on Theta and Best Practices for Perfomance Benchmarking
October 2018
Fall 2018 Simulation, Data and Learning
PDF icon Run-to-run Variability on Theta and Best Practices for Perfomance Benchmarking
Presented at: 2018 ALCF Computational Performance Workshop
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Single-node optimization towards more efficient and productive quantum Monte Carlo simulations
May 2018
2018 ALCF Computational Performance Workshop
PDF icon Single-node optimization towards more efficient and productive quantum Monte Carlo simulations
Presented at: Fall 2018 Science, Data and Learning
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Scientific Domain-Informed Machine Learning
October 2018
Fall 2018 Science, Data and Learning
PDF icon Scientific Domain-Informed Machine Learning
Presented at: Simulation, Data, and Learning Workshop 2018
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Scaling Deep Learning Frameworks
February 2018
Simulation, Data, and Learning Workshop 2018
PDF icon Scaling Deep Learning Frameworks
Presented at: Fall 2018 Simulation, Data and Learning Workshop
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Scaling Deep Learning Frameworks
October 2018
Fall 2018 Simulation, Data and Learning Workshop
PDF icon Scaling Deep Learning Frameworks
Presented at: Sep. 2018 ALCF Developer Sessions
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Run-to-Run Variability on Theta and Best Practices for Performance Benchmarking
December 2018
Sep. 2018 ALCF Developer Sessions
PDF icon Run-to-Run Variability on Theta and Best Practices for Performance Benchmarking

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