Title:    Presenter: Description:

NCSA Resource:



Machine Learning and BIG DATA

May 22, 2023 | Presented by John Urbanic (PSC)

NCSA was a satellite site for this PSC/ACCESS training event on Machine Learning and BIG DATA. This workshop focused on big data analytics and machine learning with Spark and deep learning using TensorFlow. 

       


Profiling Python Workshop

August 22, 2023 | Presented by Bruno Abreu, NCSA

NCSA and Research IT will offer this interactive, virtual workshop introducing built-in Python profiling tools, one of the performance tuning and optimization pillars. Hands-on exercises will explore time-based and memory-based profiling techniques of simple scripts, highlighting typical routes programmers can take to make applications more efficient.

       


Quantum Tutorials: Intro to Circuit Simulation with Qiskit

August 30, 2023 | Presented by Bruno Abreu

This three-hour tutorial opens the NCSA Fall 2023 Quantum Tutorials series, which focuses on the programming aspects of quantum technologies. The tutorial will have a large hands-on component and plenty of time and opportunities for tutors and attendees to interact, ask questions, and share their experiences. Attendees will learn how to install and run IBM's Qiskit, acquire familiarity with the package components, navigate Qiskit's documentation, create quantum circuits, simulate them over various situations, and interpret simulation results.

       


Using GPUs with Python

September 12, 2023 | Presented by Zoe Ryan (NVIDIA)

In this workshop, you'll get hands-on experience accelerating Python codes with NVIDIA GPUs. We will utilize code samples in two main categories to introduce you to Python GPU accelerated computing. First, we will explore drop-in replacements for SciPy and NumPy code through the CuPy library. Then  we’ll cover NVIDIA RAPIDS, which provides GPU acceleration for end-to-end data science workloads. We'll finish with an end-to-end example that incorporates all the tools introduced to tackle a geospatial problem. By the end of the workshop, you'll have the skills to start accelerating your own Python codes with NVIDIA GPUs!

       


Using the NVIDIA Software Ecosystem on Delta's NVIDIA Ampere A100 and A40 GPUs

November 3, 2021 | Presented by Max Katz, NVIDIA

This session describes the development platform for NVIDIA GPUs for both HPC and AI that will be available on NCSA's Delta system. The NVIDIA HPC SDK is a suite of development tools for programming NVIDIA GPUs, including compilers for C, C++, and Fortran, with GPU offload models such as ISO standard language parallelism, OpenACC, OpenMP, and CUDA. The HPC SDK also includes a suite of GPU-accelerated math libraries and communication libraries. On the AI side, NVIDIA provides containers with fully optimized implementations of the popular machine learning frameworks for training and inference. NVIDIA will also describe the A100 and A40 GPUs, and hardware features advantageous to users.

       


Introduction to AMD's EPYC Architecture and Programming Environment on Delta

December 1, 2022 | Presented by AMD Staff

Presenters: Dr. Alan K. Minga, AMD Field Applications Engineer (HPC Specialist) and Borris Conwie, AMD Field Applications Engineer (AMD Center of Excellence)

NCSA's Delta will use AMD EPYC processors, including the 3rd Generation AMD EPYC™ Processor code-named Milan, to provide CPU compute power. Delta’s AMD programming environment will use the AMD AOCC compiler and AMD AOCL suite of numerical libraries. Researchers will need to use this programming environment and implement runtime strategies to best utilize Delta’s AMD resources. In this webinar, AMD engineers will discuss the EPYC processor architecture, AMD compilers and libraries, and best practices for running on these new systems.


Video URL       


Getting Started on NCSA's Delta Supercomputer

June 29, 2022 | Presented by NCSA Staff

In this webinar, you will learn about NCSA's Delta supercomputer and how to use it for your scientific research. The following topics will be covered:

  • Introduction to Delta
  • Node Architecture and Interconnect
  • System Services and Features 
    • Project and Account Management
    • Accessing
    • Storage
    • Running Jobs 
    • Data Management 
  • Programming Environment
    • Installed Software
    • Containers
  • Open OnDemand, Science Gateway
  • Q & A

Presenters will highlight important features and current issues researchers may encounter when using Delta. This webinar is suitable for current and potential users of Delta.