Daniel Howard
Bio
Skills
Interests
- deep-learning
- neural-networks
- machine-learning
- supervised-learning
- finite-element-analysis
- linear-programming
- vectorization
- gis
- data-reproducibility
- data-provenance
- data-lifecycle
- github
- github-pages
- scratch
- benchmarking
- optimization
- parallelization
- performance-tuning
- profiling
- scaling
- fluid-dynamics
- pytorch
- openfoam
- tensorflow
- science-gateway
- open-ondemand
- hpc-arch-and-perf
- ACCESS-allocations
- allocations-proposal
- affinity-group
- open-science-grid
- ookami
- research-facilitation
- software-carpentry
- training
- community-outreach
- mentorship
- c++
- c
- conda
- cuda
- fortran
- julia
- jupyterhub
- mpi
- openmp
- programming-best-practices
- oceanography
- data-science
- spack
- pip
- docker
- netcdf
- python
- nvidia
Affinity Groups
Knowledge Base Contributions
MATCH Engagements
-
mComplete
Mentorships
-
iIn Progress
Daniel Howard
University Corporation for Atmospheric Research
HPC Consultant
CSSN Member
Roles:
mentorresearch computing facilitator
research software engineer