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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
  • sql
  • resources
  • research-facilitation
  • xsede
  • scheduling
  • job-array
  • pending-jobs
  • pre-emption
  • anaconda
  • bash
  • batch-jobs
  • checkpoint
  • dmtcp
  • containers
  • docker
  • singularity
  • distributed-computing
  • environment-modules
  • lmod
  • modules
  • matlab
  • openmp
  • scripting
  • cluster-support
  • file-transfer
  • globus
  • schedulers
  • slurm
  • cuda
  • parallelization
  • vectorization
  • jupyterhub
  • mpi
  • spack
  • unix-environment
  • vim
  • sas
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Jason Wells
Harvard University
  • data-compliance
  • data-management
  • secure-data-architecture
  • project-management
  • gromacs
  • biology
  • cui
  • pytorch
  • scikit-learn
  • machine-learning
  • comsol
  • fluid-dynamics
  • natural-language-processing
  • file-systems
  • git
  • github
  • r
  • python
  • sql
  • research-facilitation
  • xsede
  • resources
  • scheduling
  • api
  • bash
  • batch-jobs
  • docker
  • environment-modules
  • matlab
  • cpu-bound
  • memory
  • optimization
  • performance-tuning
  • scaling
  • administering-hpc
  • cluster-management
  • cluster-support
  • hardware
  • gpu
  • hpc-cluster-architecture
  • hpc-cluster-build
  • nfs
  • hpc-operations
  • ethernet
  • slurm
  • sge
  • pbs
  • encryption
  • duo
  • vm
  • vim
  • unix-environment
  • tuning
  • rstudio-server
  • pip
  • jupyterhub
  • cuda
  • training