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Watch CSA Postdoc Symposium Presentations
June 4, 2020
Twenty-two postdoctoral fellows from across Berkeley Lab's Computing Sciences Area shared the status of their current projects at the first CSA Postdoc Symposium earlier this year. Video recordings of the presentations are available individually (below) and collected in a playlist on Berkeley Lab's YouTube channel.
Muaaz Awan
GPU-BSW: A GPU Based Sequence Alignment Algorithm for Accelerating Bioinformatics Applications
Venkitesh Ayyar
Building Compact Convolutional Neural Networks for Signal-Background Classification in Particle Physics Experiments
Zhe Bai
Computed Tomography (CT) Image Registration and Segmentation for Traumatic Brain Injury (TBI) Analysis
Hugo Brunei
Mixed Precision Tuning on HPC Applications
Nan Ding
An Instruction Roofline Model for GPUs
Doreen Fan
Modeling Type Ia Supernovae: The Key to Understanding the Cosmic Universe
Vincenzo Gulizzi
High-order Numerical Schemes for the Exascale
Revathi Jambunathan
Towards Exascale Modeling of Pulsar Magnetospheres Using WarpX
Katie Klymko
A Low Mach Number Fluctuating Hydrodynamics Model for Room Temperature Ionic Liquids
Jie Luo
An Alternative Architecture for Computing with Exponential Acceleration
Mike MacNeil
Distributed Digital Volume Correlation by Optimal Transport
Bashir Mohammed
DeepRoute: A Deep Reinforcement Learning approach for Dynamic Network Routing Optimization and SDN on Chameleon Testbed
Daniel Murnane
Graph Neural Networks for Particle Tracking
Jangho Park
Input Structure Selection for Time-Series Prediction with Machine Learning
Adam Peterson
Numerical Construction of Vortices in a Strongly Coupled Superconductor
Roberto Porcu
A Hybrid PIC-DEM Approach for Multi-Phase Computational Fluid Dynamics
Michael Rowan
Use of CUDA Profiling Tools Interface (CUPTI) for Profiling Asynchronous GPU Activity
Reetik Sahu
Predicting Daily Groundwater Levels with Deep Learning Models
Yu-Hang Tang
GraphDot: A GPU-Accelerated Python Package for High-Throughput Graph Kernel Computation
Wenjing Wang
Bilevel Optimization and Data Analysis for Efficient Tuning of High Energy Physics Event Generators
Don Willcox
Towards Exascale Supernovae Simulations
David Williams-Young
Parallel Shift-Invert Spectrum Slicing for Symmetric Self-Consistent Eigenvalue Computation
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Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 16 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe. Scientists from around the world rely on the Lab’s facilities for their own discovery science. Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science.
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