Tag

GPU

Intro to GPU & CUDA Programming

By |

This workshop is an introduction to GPU programing for scientific and
engineering applications. The basics of GPU architecture will be
presented. Parallel programing strategies will be discussed followed by
actual programing examples.

Participants should be familiar with programming and how to use the
Great Lakes computing cluster.  C/C++ examples will be provided to try
on the Great Lakes GPU nodes.

To register and view more details, please refer to the linked TTC page.

You’re invited: Parallel programming with MATLAB webinar on Dec. 4 

By | Events, HPC, News

We invite you to join us for an engaging virtual session on Parallel Computing with MATLAB, scheduled for December 4 from 1-4 p.m. EST. This session promises to equip you with valuable insights and knowledge. Here’s a glimpse of what you can expect to learn during the session.

Parallel Computing Hands-On Workshop:

Join us for an immersive hands-on workshop where we will introduce you to the world of parallel computing using MATLAB®. This workshop aims to equip you with the skills to tackle computationally and data-intensive problems by harnessing the power of multicore processors, GPUs, and computer clusters. Through practical exercises and real-world examples, you will gain a comprehensive understanding of parallel computing and learn best practices for its implementation.

Highlights:

  • Explore a range of exercises and examples, varying in difficulty from fundamental parallel usage concepts to more advanced techniques.
  • Learn how to optimize MATLAB applications by leveraging parallel computing capabilities.
  • Discover the benefits of running multiple Simulink simulations in parallel and enhance your simulation efficiency.
  • Dive into the world of GPU computing and unlock the potential for accelerated computations.
  • Explore the concept of offloading computations and delve into the realm of cluster computing.
  • Master the art of working with large data sets and efficiently process them using parallel computing techniques.

Don’t miss out on this opportunity to enhance your parallel computing skills with MATLAB. Join us for this exciting workshop and unlock the potential of parallel computing for your computational challenges.

Register soon to guarantee your spot and receive the Webex link before the workshop.

Intro to GPU & CUDA Programming

By |

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.

Participants should be familiar with programming and how to use Great Lakes computing cluster.  C/C++ examples will be provided to try on the Great Lakes GPU nodes.

 

To register and view more details, please refer to the linked TTC page.

Intro to GPU & CUDA Programming

By |

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.

Participants should be familiar with programming and how to use Great Lakes computing cluster.  C/C++ examples will be provided to try on the Great Lakes GPU nodes.

 

To register and view more details, please refer to the linked TTC page.

Intro to GPU & CUDA Programming – CANCELLED

By |

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.

Participants should be familiar with programming and how to use Great Lakes computing cluster.  C/C++ examples will be provided to try on the Great Lakes GPU nodes.

 

To register and view more details, please refer to the linked TTC page.

Intro to GPU & CUDA Programming

By |

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.

Participants should be familiar with programming and how to use Great Lakes computing cluster.  C/C++ examples will be provided to try on the Great Lakes GPU nodes.

 

To register and view more details, please refer to the linked TTC page.

Intro to GPU & CUDA Programming

By |

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.

Participants should be familiar with programming and how to use Great Lakes computing cluster.  C/C++ examples will be provided to try on the Great Lakes GPU nodes.

 

To register and view more details, please refer to the linked TTC page.

Intro to GPU & CUDA Programming

By |

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.

Participants should be familiar with programming and how to use Great Lakes computing cluster.  C/C++ examples will be provided to try on the Great Lakes GPU nodes.

 

To register and view more details, please refer to the linked TTC page.

ARC-TS continues to expand Machine Learning and GPU capability

By | Flux, General Interest, Happenings, HPC, News

Advanced Research Computing – Technology Services (ARC-TS) is pleased to announce the addition of 12 new NVIDIA TITANV Volta class GPUs to our Flux HPC computing cluster.

The new GPUs are spread across three nodes with four cards each. Each card has 12GB of memory, and over 5,100 CUDA cores. These cards bring the new NVIDIA “tensor core” to over 100 Teraflops, which will benefit certain types of machine learning jobs. The new cards will also provide the highest single and double precision performance of any GPU offered on Flux.

The new GPUs will augment our existing K40 and other GPUs, bringing the total GPU count on Flux and Armis to over 50 cards available to the U-M research community. Users of FluxG can access the new TITANV GPUs using the example on our our website or if you have any question, please contact us at hpc-support@umich.edu.

Intro to GPU & CUDA Programming

By |

This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual programing examples.

Please bring a laptop if would like to try the examples during the session, but it is not necessary, since the examples will be available for you to try later on the Flux computing cluster. Participants should be familiar with programming and how to use Flux.