Closing Friday: register for TACC trainings

register for TACC trainings

  • Published: 
      REGISTER for TACC trainings: 

      *stay tuned for a CMake tutorial on 12/1 -- registration opening soon!

      Registration is limited and closes Friday 10/20:

      HPC @ TACC | November 1-2, 2023 (closes at capacity)
      Virtual only 
      10AM CST - 4PM CST 
      In this hands-on tutorial, we will explore methods for running containers on HPC systems including advanced tasks like utilizing GPUs for computation and MPI for parallel jobs Docker to perform multi-stage and multi-architecture builds. 
       - Introduction and motivation to parallel computing, which includes an introductory lab on TACC resources. 
      - Edit and compile code, submit jobs to the queue 
      - MPI: beginner and intermediate 
      - Basic concepts of the Message Passing Interface (MPI) library for large scale parallel programming 
      - Interactive combination of lectures and code walk-throughs 
      - HPC tools specifically designed for complex user environments (Lmod, Sanity Tool) 
      - Tools for workflow management (ibrun, launcher, launcher-GPU, Pylauncher) 
      - Tools for job monitoring and profiling (Remora, TACC-Stat, core_usage, amask) 
      - Other tools per participant interest 
      - MPI with containers 

      Machine Learning | November 6-8, 2023 (closes at capacity)
      Virtual only 
      10AM CST - 4PM CST 
      TACC’s Machine Learning training is designed to give participants fundamental knowledge of machine learning (ML) and deep learning (DL) techniques as well as experience with hands-on tutorials running ML and DL workflows on HPC systems. Participants will learn the basics of how to start using the computing clusters at TACC for ML and DL analysis. They will also learn fundamentals and theory of ML and DL techniques, and explore example applications of how ML and DL techniques can be applied on TACC’s HPC clusters. This training is virtual on the following days: Nov. 6: Computing cluster and Python environment at TACC Nov. 7: Introduction to ML, supervised learning methods, and their applications Nov. 8: Introduction to Deep Learning and its applications 

      Per our policy, attendees must have an active TACC account to participate in training activities on TACC resources. To verify that your login information for an existing account is current and that your account is active, or to create a TACC account, please visit at least one week prior to the start of the training to ensure that TACC staff can review and approve your account request. *If you are creating a new TACC account, we recommend that you use your institution email address (e.g. for prompt account approval and verification.