On January 30 and 31, the CSA held its first annual Postdoc Symposium at Berkeley Lab, where 21 postdoctoral speakers working at the Lab shared presentations on their research with an audience of peers, mentors, and coworkers. View their individual presentations below.
“A GPU Based Sequence Alignment Algorithm for Accerlerating Bioinformatics Pipelines
Application Performance Group, NERSC
“Classifying signal and background in particle physics experiments using Convolutional neural networks”
Computational Cosmology Group
“Computed tomography image registration & segmentation for traumatic brain injury analysis (TBI)
Data Analytics & Visualization Group
“Mixed Precision Tuning on HPC Applications”
CLaSSÂ
“An Instruction Roofline Model for GPUs”
Performance And Algorithms Research
“Modeling Low Mach Number Astrophysical Flow with Complex Chemistry”
Center for Computational Science and Engineering
“High-Order Numerical Schemes for the Exascale”
Center for Computational Science and Engineering
“Towards Exascale Modeling of Pulsar Magnetosphere”
Center for Computational Sciences and Engineering
“A Low Mach Number Fluctuating Hydrodynamics Model for Ionic Liquids”
Center for Computational Sciences and Engineering
“Quantum Architecture for Computing with Exponential Acceleration”
Advanced Quantum Testbed
“Distributed Global Digital Volume Correlation by Optimal Transport”
Data Analytics and Visualization
DeepRoute: A Deep Reinforcement Learning approach for Dynamic Network Routing Optimization and SDN on Chameleon Testbed
Scientific Data Management Group
“Graph Neural Networks for Particle Tracking”
Physics & X-Ray SC Group
“Input structure selection for time-series prediction with machine learning”
Center for Computational Sciences and Engineering
“Numerical Construction of Vortices in a Strongly Coupled Superconductor”
Center for Computational Science and Engineering
“A hybrid PIC-DEM approach for multi-phase computational fluid dynamics”
MFIX-Exa Research Group
“Use of CUDA Profiling Tools Interface (CUPTI) for Profiling Asynchronous GPU Activity”
NERSC Exascale Science Applications Program
“Predicting Daily Groundwater Levels with Deep Learning models”
Center for Computing Sciences and Engineering – Mathematics for Optimization and Decision Support
“Parallel Shift-Invert Spectrum Slicing for Symmetric Self-Consistent Eigenvalue Computation”
Scalable Solvers Group
Bilevel Optimization and Data Analysis for Efficient Tuning of HEP Event Generators
Center for Computational Sciences and Engineering
“Towards Exascale Supernova Simulations”
Center for Computational Sciences and Engineering
