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GPU Technology Conference to put HPC and Ai front and center

Ned Finkle is VP of Government Affairs at NVIDIA.

NVIDIA’s GPU Technology Conference (GTC) kicks off today in Silicon Valley. In this video, Ned Finkle from NVIDIA previews some of the public sector sessions this week at GTC.

GTC is the premier AI and deep learning conference, providing training, insights, and direct access to experts from leading research institutions and national labs. At GTC, you can explore hundreds of sessions on cutting edge AI research and applications across industries.

While the conference will features a host of sessions centered around HPC, Ai, and Scientific Computing, here are some highlights:

  • LLNL Sierra: Supercomputing and Science on a MissionWe’ll describe how Lawrence Livermore National Laboratory (LLNL) prepared a large existing application base for our recently deployed Sierrasupercomputer, which is designed to harness over 17,000 NVIDIA V100 GPUs to tackle the nation’s most challenging science and national security problems. We will discuss how this multi-year effort paid off with exciting possibilities for new science. We’ll also outline using GPUs in our traditional HPC platforms and workflows is adding an exciting new dimension to simulation-based science, prompting LLNL to rethink how we perform future simulations as intelligent simulation. We’ll give an overview of the application preparation process that led up to Sierra‘s deployment, as well as look at current and planned research aimed at riding the AI and machine learning waves in pursuit of game-changing science.
  • Advancing U.S. Weather Prediction Capabilities with Exascale HPC. We’ll discuss the revolution in computing, modeling, data handling and software development that’s needed to advance U.S. weather-prediction capabilities in the exascale computing era. Creating prediction models to cloud-resolving 1 KM-resolution scales will require an estimated 1,000-10,000 times more computing power, but existing models can’t exploit exascale systems with millions of processors. We’ll examine how weather-prediction models must be rewritten to incorporate new scientific algorithms, improved software design, and use new technologies such as deep learning to speed model execution, data processing, and information processing. We’ll also offer a critical and visionary assessment of key technologies and developments needed to advance U.S. operational weather prediction in the next decade.
  • Tensor Core Programmability and Profiling for AI and HPC Applications. Tensor Cores, introduced with Volta GPU architecture, achieve up to 125 TFlops throughput by mixing half- and single-precision floating point operations. We’ll show how to take advantage of Tensor Cores for applications in deep learning and HPC. We will discuss how to use mixed precision to decrease memory use during deep learning training and deployment, a technique that allows for larger model sizes. We will also demonstrate programming matrix-multiply-and-accumulate on Tensor Cores for HPC applications. Using NVIDIA Nsight, we will profile an application to understand use of Tensor Cores.
  • Accelerating Big Data & HPC Workloads on the Cloud (Presented by Oracle). Migrating and building solutions in the cloud is challenging, expensive and not nearly as performant. Oracle Cloud Infrastructure (OCI) has been working with NVIDIA on giving you the on-premises performance you need with the cloud benefits and flexibility you expect. In this session we’ll discuss how you can take big data and analytics workloads, database workloads, or traditional enterprise HPC workloads that require multiple components along with a portfolio of accelerated hardware and not only migrate them to the cloud, but run them successfully. We’ll discuss solution architectures, showcase demos, benchmarks and take you through the cloud migration journey. We’ll detail the latest instances that OCI provides, along with cloud-scale services.
  • HPC Using Containers. Learn to build, deploy and run containers in an HPC environment. Containers are packages containing the application, libraries, compiler runtime, and other dependencies, simplifying deployments providing easy access to the latest revisions. During this session, you will learn the following: the basics of building container images with Docker and Singularity, how to use HPC Container Maker (HPCCM) to make it easier to build container images for HPC applications, and how to use containers from the NVIDIA GPU Cloud (NGC) with Singularity.

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