Training and Events

From hands-on workshops to interactive webinars, we host a variety of events designed to educate our users on the tools, systems, and frameworks that are available to accelerate their scientific computing projects.

Upcoming
Past

Online

Migrating Your Existing CUDA Code to DPC++

  • Edward Mascarenhas and Sunny Gogar, Intel Corporation
IXPUG logo

Virtual

Sustainable Energy Crop Production Systems for the Emerging Bioeconomy

  • Jules Cacho, Argonne National Laboratory
crop

Virtual

Post-Optimization Automatic Differentiation by Synthesizing LLVM

  • WIlliam Moses, Massachusetts Institute of Technology

Online

Type Webinar

OpenMP Offload Capabilities in the oneAPI HPC Toolkit

  • Jeongnim Kim, Intel
oneAPI-OpenMP webinar

Virtual

Building Compilers for Numerical Programming

  • Mike Innes, Julia Computing

Online

Type Conference

ISC High Performance 2020 Digital

ISC High Performance 2020 Digital

Webinar

SYCL – Introduction and Best Practices

  • Thomas Applencourt, Argonne National Laboratory
Thomas Applencourt - SYCL webinar

Virtual

A GAN-Based Approach for Solving High-Dimensional Stochastic Mean Field Games

  • Samy Fu Wong, University of California, Los Angeles

Virtual

How to Establish Open Source Licenses and Legal Agreements

  • David Martin, Argonne National Laboratory

Virtual

Computational Techniques for Nonlinear Optimization and Learning Problems

  • Javad Lavaei, University of California, Berkeley
The tangency of the top surface with the constrained space in the center represents the solution.

Webinar

Type Webinar

Profile DPC++ and GPU Workload Performance

  • Vladimir Tsymbal, Intel
Intel webinars

Virtual

Reversible Logic Synthesis Based on Positive Polarity Reed-Muller Expressions

  • Paul Hovland, Argonne National Laboratory

Webinar

INCITE Proposal Writing Webinar

INCITE Proposal Writing Webinar: June 5, 2020

Webinar

Type Webinar

Offload Your Code from CPU to GPU … and Optimize It

  • Kevin O'Leary, Intel
Intel webinars

Virtual

Lift & Learn: A Scientific Machine Learning Framework for Learning Low-Dimensional Models for Nonlinear PDEs

  • Elizabeth Qian, Massachusetts Institute of Technology
Illustration of the Navier-Stokes obstructed duct problem

Webinar

UPC++: An Asynchronous RMA/RPC Library for Distributed C++ Applications

  • Amir Kamil, University of Michigan and Lawrence Berkeley National Laboratory
UPC++: An Asynchronous RMA/RPC Library for Distributed C++ Applications

Virtual

Limited Memory Structured Quasi-Newton Methods

  • Johannes Brust, Argonne National Laboratory

Virtual

Learning Sparse Non-Gaussian Graphical Models

  • Rebecca Morrison, University of Colorado

Webinar

Type Webinar

Intel DevCloud for oneAPI: AI and Accelerator Programming Webinar

  • Ellick Chan, Intel
Intel DevCloud for oneAPI: AI and Accelerator Programming Webinar

Webinar

Accelerating Numerical Software Libraries with Multi-Precision Algorithms

  • Hartwig Anzt, Karlsruhe Institute of Technology
  • Piotr Luszczek, University of Tennessee
ECP logo