Joseph Schoonover, PhD

Education

PhD Geophysical Fluid Dynamics

Geophysical Fluid Dynamics Institute Florida State University

June 2011 - May 2016

B.S. Applied Mathematics and Physics

Department of MathematicsFlorida State University

August 2008 - May 2011

Experience

CEO/HPC Specialist

Fluid Numerics LLC

January 2019 - Present

Associate Scientist II

CIRES/Space Weather Prediction Center

July 2017 - May 2019

Post-Doctoral Researcher

Los Alamos National Laboratory

January 2016 - July 2017

Graduate Teaching Assistant

Earth, Ocean, and Atmospheric Sciences DepartmentFlorida State University

August 2014-December 2015

Graduate Research Assistant

Earth, Ocean, and Atmospheric Sciences DepartmentFlorida State University

June 2011-August 2014

Mathematics Tutor

Mathematics DepartmentFlorida State University

January 2010-June 2011

Certifications

Professional Cloud Developer

Google Cloud Platform

May 2019

Skills

Software Development

Languages

Fortran, C/C++, Python

APIs, Libraries and Standards

MPI, OpenMP, CUDA/CUDA-Fortran, OpenACC, OpenCL/FortranCL, OpenGL

Projects

SELF-Fluids

A code for solving the compressible Navier-Stokes equations on distributed memory clusters and multi-GPU platforms using the Discontinuous Galerkin Spectral Element Method.


Fast Equilibration of Ocean Tracers Software (FEOTS)

An ocean diagnostics code for capturing transport operators and rapidly equilibrating offline passive tracer system.


Teaching and Outreach

Instructor : GPU programming

Los Alamos National Laboratoryhttps://parallelcomputing.lanl.gov

June 2019

Hackathon Moderator and Cloud Compute Provider

Brookhaven National Laboratoryhttps://www.bnl.gov/gpuhackathon2018/

September 2018

Hackathon Moderator

The National Center for Supercomputing Applicationshttps://bluewaters.ncsa.illinois.edu/bw-hackathon-2018

September 2018

Instructor : GPU programming

Los Alamos National Laboratoryhttps://parallelcomputing.lanl.gov

June 2018

Hackathon Organizer, Moderator and Cloud Compute Provider

CU Boulderhttps://www.bnl.gov/gpuhackathon2018/

June 2018

Hackathon Mentor

Brookhaven National Laboratorywww.olcf.ornl.gov/training-event/2017-gpu-hackathons

June 2017

Co-Lead/Mentor Parallel Computing Summer Research Internship

Los Alamos National Laboratoryhttps://parallelcomputing.lanl.gov

June 2016-July 2017

Hackathon Mentor

Brookhaven National Laboratorywww.olcf.ornl.gov/training-event/2017-gpu-hackathons

June 2017

Publications

[1] W.K. Dewar, J. Schoonover, T.J. McDougall, and W.R. Young. Semi-Compressible Ocean Dynamics. J. Phys. Oceanogr., 45:149–156, 2015.

[2] J. Schoonover, W.K.Dewar, N. Wienders, J. Gula, J. Molemaker, J.McWilliams, S. Bates, G. Danabasoglu, and S. Yeager. North Atlantic Barotropic Vorticity Balances and the Gulf Stream Separation in Numerical Models. J. Phys. Oceanogr., 46:289–303, 2016.

[3] W.K. Dewar, J. Schoonover, T.J. McDougall, and R. Klein. Semi-Compressible Ocean Thermodynamics and Boussinesq Energy Conservation. Fluids, 1:1–9, 2016.

[4] S. Fogerty, S. Bishnu, Y. Zamora, L. Monroe, S. Poole, M. Lam, J. Schoonover, and R. Robey. Thoughtful precision in mini-apps. IEEE Cluster, 2017.

[5] J. Schoonover, W.K. Dewar, N. Wienders, and B. Deremble. Local Sensitivities of the Gulf Stream Separation. J. Phys. Oceanogr., 47:353–373, 2017.

[6] D. Banesh, J. Ahrens, F. Samsel J. Schoonover, and B. Hamann. Qualitative and Quantitative Feature Analysis using Computer Vision Algorithms. SciVis, 2017.

[7] D. Banesh, J. Schoonover, and J. Ahrens. Extracting, Visualizing and Tracking Mesoscale Eddies in Two-dimensional Image Sequences Using Contours and Moments. Workshop on Visualisation in Environmental Sciences, 2017.

[8] A. Hsu, D.N. Asanza, J.A. Schoonover, Z. Jibben, N. Carlson, and R. Robey. Performance Portability Challenges for Fortran Applications. IEEE, 2018.