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Knowledge Base Resources

These resources are contributed by researchers, facilitators, engineers, and HPC admins. Please upvote resources you find useful!
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Topics

  • Show all (29)
  • (-) tensorflow (3)
  • (-) training (3)
  • deep-learning (2)
  • gpu (2)
  • machine-learning (2)
  • aces (1)
  • big-data (1)
  • c (1)
  • containers (1)
  • lammps (1)
  • mpi (1)
  • neural-networks (1)
  • nfs (1)
  • open-ondemand (1)
  • openmp (1)
  • openmpi (1)
  • programming (1)
  • programming-best-practices (1)
  • scratch (1)
  • slurm (1)
  • spark (1)
  • tamu (1)

Topics

  • Show all (29)
  • (-) tensorflow (3)
  • (-) training (3)
  • deep-learning (2)
  • gpu (2)
  • machine-learning (2)
  • aces (1)
  • big-data (1)
  • c (1)
  • containers (1)
  • lammps (1)
  • mpi (1)
  • neural-networks (1)
  • nfs (1)
  • open-ondemand (1)
  • openmp (1)
  • openmpi (1)
  • programming (1)
  • programming-best-practices (1)
  • scratch (1)
  • slurm (1)
  • spark (1)
  • tamu (1)

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ACCESS HPC Workshop Series
1
  • ACESS HPC Workshop Series
  • MPI Workshop
  • OpenMP Workshop
  • GPU Programming Using OpenACC
  • Summer Boot Camp
  • Big Data and Machine Learning
Monthly workshops sponsored by ACCESS on a variety of HPC topics organized by Pittsburgh Supercomputing Center (PSC). Each workshop will be telecast to multiple satellite sites and workshop materials are archived.
deep-learningmachine-learningneural-networksbig-datatensorflowgputrainingopenmpicc++fortranopenmpprogrammingmpispark
1 Like

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Type
learning
Level
Beginner, Intermediate
ACES: Charliecloud Containers for Scientific Workflows (Tutorial)
0
  • ACES: Charliecloud Containers for Scientific Workflows (Video)
  • ACES: Charliecloud Containers for Scientific Workflows (Slides)
This tutorial introduces the use of Containers using the Charliecloud software suite. This tutorial will provide participants with background and hands-on experience to use basic Charliecloud containers for HPC applications. We discuss what containers are, why they matter for HPC, and how they work. We'll give an overview of Charliecloud, the unprivileged container solution from Los Alamos National Laboratory's HPC Division. Students will learn how to build toy containers and containerize real HPC applications, and then run them on a cluster. Exercises are demonstrated using the ACES cluster, a composable accelerator testbed at Texas A&M University. Students with an allocation on the ACES cluster can follow along with the ACES-specific exercises.
ACESTAMUscratchlammpstensorflowopen-ondemandgpunfsslurmbashtrainingpythoncontainers
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Type
learning
Level
Beginner
Reinforcement Learning For Beginners with Python
0
  • Reinforcement Learning For Beginners with Python
This course takes through the fundamentals required to get started with reinforcement learning with Python, OpenAI Gym and Stable Baselines. You'll be able to build deep learning powered agents to solve a varying number of RL problems including CartPole, Breakout and CarRacing as well as learning how to build your very own/custom environment!
deep-learningmachine-learningtensorflowtrainingprogramming-best-practicespython
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Type
video_link
Level
Beginner