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.
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.
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.
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.
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.
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.
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.
ARC is a division of ITS
