Name: Andrew Shao
Type: User
Company: Hewlett Packard Enterprise
Bio: Principal HPC&AI Research Scientist: bringing new tools to the community that accelerates the convergence of HPC simulations and AI/ML
Location: Victoria, BC, Canada
Andrew Shao's Projects
Repository for paper -- Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling
Simple configurations to study specific oceanic physical processes and be used as a tool for training
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
Notebooks demonstrating various aspects of a new neutral diffusion algorithm
Creates a wrapper for neutral diffusion routines in MOM6
An Out-of-Core Newton-Krylov Solver
Jupyter Interactive Notebook
Set of tools used for manipulating oceanic trace gases
🌊 Fast and friendly fluid dynamics on CPUs and GPUs
UW Version of Offtrac
A newer, more easily modifiable version of Offtrac.
OpenFOAM and Machine Learning Hackathon
A tiny project to use ax-platform for multi-objective optimization on OpenFOAM cases
Sub-module for OpenFOAM that provides a solver for embedding SmartSim and its external dependencies (i.e. SmartRedis) into OpenFOAM.
Optiflop measures the optimally achievable FLOPs for mathematical operations on various platforms.
Uses f2py to make an interface to MOM6 ppm functions
High-order piecewise polynomial reconstruction in Fortran.
Redis client written in C++
A Redis module for serving tensors and executing deep learning graphs
Regional Earth System Model
Evaluation of an SGS model for mass transfer at risining bubbles in the initial transient stage
NOAA-GFDL's Sea Ice Simulator version 2
SmartSim Infrastructure Library Clients.
SmartSim Infrastructure Library.
The additional material for the paper submitted to Supercomputing 2020 about SmartSim
A repository of SmartSim scaling data and information