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Katia Bulekova
Boston University
Manager of Scientific Programming and Applications
big-data
data-wrangling
r
c++
programming-best-practices
batch-jobs
cuda
data-analysis
git
c
fortran
hadoop
open-ondemand
sge
gcc
profiling
parallelization
optimization
benchmarking
performance-tuning
nvidia
gpu
slurm
job-submission
job-array
modules
permissions
workforce-development
sas
training
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
Parameshwaran Pasupathy
Rutgers, the State University of New Jersey
deep-learning
scikit-learn
finite-element-analysis
neural-networks
fortran
python
pending-jobs
anaconda
linear-programming
matlab
openmp
scripting
hpc-operations
nfs
unix-environment
vim
ssh
vpn
materials-science
monte-carlo
machine-learning
sftp
github
parallelization
optimization
comsol
data-science
api
slurm
batch-jobs
schedulers
vm
abaqus
julia
pip
software-installation
Swabir Silayi
George Mason University
data-analysis
data-wrangling
data-transfer
stata
spss
benchmarking
training
software-carpentry
computational-chemistry
dft
gamess
gaussian
molecular-dynamics
amber
gromacs
lammps
namd
quantum-mechanics
machine-learning
pytorch
scikit-learn
materials-science
git
github
github-pages
programming
programming-best-practices
cleanup
c
c++
fortran
java
python
r
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xsede
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environment-modules
lmod
modules
matlab
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scripting
cluster-support
file-transfer
globus
schedulers
slurm
cuda
parallelization
vectorization
jupyterhub
mpi
spack
unix-environment
vim
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batch-jobs
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c
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c++
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cuda
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git
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matlab
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openmp
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optimization
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python
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api
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big-data
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checkpoint
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cleanup
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cluster-support
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conda
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dft
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dmtcp
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