Amanda Sabatini Dufek is a member of the Application Performance Group at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (LBNL) since January 2021. She is currently involved in three main projects: (1) Toolkit for Extreme Climate Analysis (TECA), a parallel toolkit for detecting extreme events in large climate datasets; (2) Learning to Grow (L2G) for LAMMPS, an evolutionary reinforcement learning of self-assembly protocols in LAMMPS simulations; and (3) some parallel implementations using SYCL programming models, such as SU3_Bench and MILC-Dslash benchmarks.
She has worked as a NERSC Exascale Science Applications Postdoctoral (NESAP) Fellow at LBNL in 2020. The main goal of her NESAP project for the simulation program was to add two new diagonal ceilings to the roofline model relative to NIC and PCI-e bandwidths to provide insights into how the communication operations are impacting the overall performance of some benchmark problems.
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