Jon Rood Email & Phone Number
@nrel.gov
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Who is Jon Rood? Overview
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Jon Rood is listed as Computational Scientist at National Renewable Energy Laboratory, based in Denver Metropolitan Area, United States. AeroLeads shows a work email signal at nrel.gov and a matched LinkedIn profile for Jon Rood.
Jon Rood previously worked as Computational Scientist at Eth Zurich and Postdoctoral Researcher in Computational Science and HPC Consultant at Berkeley Lab. Jon Rood holds Doctor Of Philosophy (Ph.D.), Computational Science from South Dakota State University.
Email format at National Renewable Energy Laboratory
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AeroLeads found 2 current-domain work email signals for Jon Rood. Compare company email patterns before reaching out.
About Jon Rood
Jon Rood is a Computational Scientist at National Renewable Energy Laboratory. He possess expertise in python, high performance computing, c++, parallel computing, linux and 33 more skills. He is proficient in English.
Listed skills include Python, High Performance Computing, C++, Parallel Computing, and 34 others.
Jon Rood's current company
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Jon Rood work experience
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Computational Scientist
- Working on exascale applications for wind and combustion energy- Using performance portability libraries for programming scientific applications for GPU architectures across all vendors
Computational Scientist
- Assisted in development of a tool to increase performance portability of climate and weather models across CPU, GPU, and MIC supercomputer architectures by using source-to-source compiler code transformation techniques and domain-specific abstractions- Ported physical parameterization kernels of climate models to run on GPUs using OpenACC
Postdoctoral Researcher In Computational Science And Hpc Consultant
- Increased the performance by 5x of a bioinformatics application written in Java named BBMap by implementing MPI to allow for distributed processing on a high performance cluster and also ported certain computationally intensive kernels in C- Researched techniques for preparing massively parallel applications for many-core architectures focused on the Intel Xeon Phi platform- Assisted users of NERSC's supercomputers both in-person and remotely in all aspects of high performance computing issues and capabilities at the facility- Implemented a software package manager developed at Lawrence Livermore National Lab called Spack on a large cluster at NERSC
Computational Scientist
- Accelerated Fortran code by 24x for NASA's SAGE III mission with CUDA and OpenMP- Ported Lawrence Berkeley Laboratory's Chombo AMR library to Microsoft Windows- Assisted in the development, deployment, and support of three of the company's software products: GPULib (GPU accelerated library for IDL), Chompst (AMR with PETSc solver), and GELUS (GPU accelerated LU sparse matrix solver)- Developed and optimized C/C++ code using CUDA and OpenMP, automated building across platforms using CMake, Bash, and Cygwin, and automated testing using Python
Instructor Of Math And Computer Science
- Taught two College Algebra classes of forty students each, covering concepts such as polynomials, linear equations, quadratic equations, systems of equations, inequalities, and applied problems- Taught an introductory Computer Science class to forty students on Microsoft Word, Excel, Access, and programming skills by use of the Context Free programming software
System Administrator
- Administered the hardware, software and network for the company of about eighty employees consisting of a SQL server, Windows 2003 server, Windows XP environment for forty PCs, and twelve Macs- Generated automated reports using Crystal Reports software to extract data from a SQL server- Supported custom printing management software that interfaced with a SQL server
Graduate Teaching Assistant In Mathematics
- Taught four classes of fifty students each in College and Intermediate Algebra, covering concepts such as polynomials, linear equations, quadratic equations, inequalities, applied problems, functions, systems of equations, sequences, and summations
Graduate Research Assistant In Computational Science
- Researched the usefulness of the Processing language for scientific visualization- Investigated physically-based numerical fire simulation methods- Parallelized real-time fire simulation code including its visualization
Research Aide In Math And Computer Science
- Ported Java simulation code from Windows to a Linux cluster to initiate its parallelization- Authored a visualization tool using Argonne's Active Mural Display by synchronizing multiple computers with multiple displays to create a single ultra-high resolution display- Analyzed processor temperature data for visualization of heat distribution in the Blue Gene/P supercomputer
Jon Rood education
Doctor Of Philosophy (Ph.D.), Computational Science
Master Of Arts (M.A.), Computer Science
Bachelor Of Science (B.S.), Computer Science
Frequently asked questions about Jon Rood
Quick answers generated from the profile data available on this page.
What company does Jon Rood work for?
Jon Rood works for National Renewable Energy Laboratory.
What is Jon Rood's role at National Renewable Energy Laboratory?
Jon Rood is listed as Computational Scientist at National Renewable Energy Laboratory.
What is Jon Rood's email address?
AeroLeads has found 2 work email signals at @nrel.gov for Jon Rood at National Renewable Energy Laboratory.
Where is Jon Rood based?
Jon Rood is based in Denver Metropolitan Area, United States while working with National Renewable Energy Laboratory.
What companies has Jon Rood worked for?
Jon Rood has worked for National Renewable Energy Laboratory, Eth Zurich, Berkeley Lab, Tech-X Corporation, and University Of Sioux Falls.
How can I contact Jon Rood?
You can use AeroLeads to view verified contact signals for Jon Rood at National Renewable Energy Laboratory, including work email, phone, and LinkedIn data when available.
What schools did Jon Rood attend?
Jon Rood holds Doctor Of Philosophy (Ph.D.), Computational Science from South Dakota State University.
What skills is Jon Rood known for?
Jon Rood is listed with skills including Python, High Performance Computing, C++, Parallel Computing, Linux, Mpi, Latex, and Software Engineering.
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