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Campus Champions

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Rebecca Belshe
Arizona State University
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  • parameter-sweeps
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  • profiling
  • scaling
  • pytorch
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Michael Blackmon
Davidson College
  • jetstream
  • pytorch
  • scikit-learn
  • deep-learning
  • monte-carlo
  • git
  • programming
  • c
  • pthreads
  • c++
  • python
  • julia
  • research-facilitation
  • scheduling
  • anaconda
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  • batch-jobs
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  • podman
  • docker
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  • cgroups
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  • compiling
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  • conda
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  • easybuild
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  • profiling
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Jacob Fosso Tande
Jacob Fosso Tande
North Carolina State University
Computational Scientist
  • sciencedmz
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  • fortran
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Daniel Howard headshot
Daniel Howard
University Corporation for Atmospheric Research
HPC Consultant
  • finite-element-analysis
  • linear-programming
  • vectorization
  • optimization
  • parallelization
  • performance-tuning
  • profiling
  • fluid-dynamics
  • nvidia
  • pbs
  • bash
  • git
  • research-facilitation
  • c
  • c++
  • cuda
  • fortran
  • julia
  • mpi
  • openmp
  • python
  • mathematica
  • matlab
  • jupyterhub
  • conda
  • spack
  • pip
  • training
  • deep-learning
  • environment-modules
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Edwin Posada
Temple University
  • administering-hpc
  • cluster-management
  • cluster-support
  • deployment
  • gpfs
  • gpu
  • hpc-cluster-architecture
  • hpc-cluster-build
  • hpc-operations
  • infiniband
  • networking
  • provisioning
  • unix-environment
  • batch-jobs
  • schedulers
  • pbs
  • bash
  • environment-modules
  • git
  • modules
  • os
  • ssh
  • tmux
  • vim
  • research-facilitation
  • workforce-development
  • c
  • c++
  • cuda
  • fortran
  • jupyterhub
  • mathematica
  • mpi
  • openmp
  • openmpi
  • python
  • react
  • sql
  • containers
  • dependencies
  • lmod
  • singularity
  • computational-chemistry
  • quantum-mechanics
  • cp2k
  • gamess
  • gaussian
  • gromacs
  • lammps
  • namd
  • benchmarking
  • cpu-bound
  • debugging
  • IO-issue
  • memory
  • optimization
  • parallelization
  • performance-tuning
  • profiling
  • scaling
  • scripting
  • github
  • github-pages
  • globus
  • dft
  • training
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Michael Puerrer
University of Rhode Island
  • neural-networks
  • deep-learning
  • data-analysis
  • machine-learning
  • dft
  • monte-carlo
  • github
  • benchmarking
  • debugging
  • parallelization
  • optimization
  • scripting
  • profiling
  • pytorch
  • astrophysics
  • data-science
  • gravitational-waves
  • slurm
  • bash
  • git
  • git-lfs
  • ssh
  • vim
  • research-facilitation
  • c
  • c++
  • conda
  • cuda
  • fortran
  • jupyterhub
  • mathematica
  • mpi
  • openmp
  • programming
  • python
  • r
  • scikit-learn
  • matlab
  • pip
  • software-installation
  • sftp
  • tensorflow
  • paraview
  • job-submission
  • containers
Ronald Rahaman
Ron Rahaman
Georgia Institute of Technology
  • monte-carlo
  • finite-element-analysis
  • vectorization
  • benchmarking
  • core-dump
  • cpu-bound
  • debugging
  • memory
  • optimization
  • parallelization
  • performance-tuning
  • profiling
  • scaling
  • scripting
  • tuning
  • open-ondemand
  • cluster-support
  • cpu-architecture
  • gpu
  • hpc-arch-and-perf
  • hpc-cluster-architecture
  • nvidia
  • unix-environment
  • pbs
  • slurm
  • bash
  • git
  • software-carpentry
  • c
  • c++
  • cuda
  • fortran
  • mpi
  • openmp
  • python
  • anaconda
  • compiling
  • conda
  • julia
  • rstudio-server
  • containers
  • dependencies
  • lmod
  • singularity
  • spack
  • software-installation
  • version-control
  • pip
  • library-paths
  • batch-jobs
  • job-submission
  • pthreads
  • vim
  • training
  • programming-best-practices
  • documentation
  • gcc
  • git-lfs
  • os
  • permissions
  • research-facilitation
  • programming
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Dan Voss
University of Miami
  • benchmarking
  • profiling
  • hpc-cluster-architecture
  • hpc-getting-started
  • bash
  • scripting
  • research-facilitation
  • workforce-development
  • fortran

Skills

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  • (-) bash (8)
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  • c++ (7)
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  • abstract (2)
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Skills

  • Show all (465)
  • (-) bash (8)
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  • abstract (2)
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