Los Alamos Python Workshop 2018
11:15am Welcome Remarks
11:20am Ammon Washburn: Identifying and Removing Computational Bottlenecks in Python
11:35am Nga Nguyen: Python Deep Learning with Tensorflow and the D-Wave Quantum Annealer
11:50am Jonathan Woodring: Using scikit-build to Compute with Vectorized Code
11:20am Ammon Washburn: Identifying and Removing Computational Bottlenecks in Python
11:35am Nga Nguyen: Python Deep Learning with Tensorflow and the D-Wave Quantum Annealer
11:50am Jonathan Woodring: Using scikit-build to Compute with Vectorized Code
12:05pm Aaron Minard and Wendi Dreesen: Controlling the Los Alamos Portable Pulser with PyQt5
12:20pm Michael McKerns: Mystic: Rigorous model certification and engineering design under uncertainty
12:35pm Vinay Ramakrishnaiah: Arrayfire for GPU programming from Python
12:20pm Michael McKerns: Mystic: Rigorous model certification and engineering design under uncertainty
12:35pm Vinay Ramakrishnaiah: Arrayfire for GPU programming from Python
Date and Time
Location
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- Date: 20 Jun 2018
- Time: 05:00 PM UTC to 07:00 PM UTC
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Agenda
11:15am Welcome Remarks
11:20am Ammon Washburn: Identifying and Removing Computational Bottlenecks in Python
11:35am Nga Nguyen: Python Deep Learning with Tensorflow and the D-Wave Quantum Annealer
11:50am Jonathan Woodring: Using scikit-build to Compute with Vectorized Code
11:20am Ammon Washburn: Identifying and Removing Computational Bottlenecks in Python
11:35am Nga Nguyen: Python Deep Learning with Tensorflow and the D-Wave Quantum Annealer
11:50am Jonathan Woodring: Using scikit-build to Compute with Vectorized Code
12:05pm Aaron Minard and Wendi Dreesen: Controlling the Los Alamos Portable Pulser with PyQt5
12:20pm Michael McKerns: Mystic: Rigorous model certification and engineering design under uncertainty
12:35pm Vinay Ramakrishnaiah: Arrayfire for GPU programming from Python
12:20pm Michael McKerns: Mystic: Rigorous model certification and engineering design under uncertainty
12:35pm Vinay Ramakrishnaiah: Arrayfire for GPU programming from Python