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    High-Performance Computing

    Accelerating the Rate of Scientific Discovery

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    High performance computing (HPC) is one of the most essential tools fueling the advancement of science. By leveraging GPU-powered parallel processing across multiple compute nodes, it can run advanced, large-scale application programs efficiently, reliably, and quickly. This acceleration delivers a dramatic boost in throughput and cost savings, paving the way to scientific discovery.

    The Intersection of HPC and AI

    HPC and AI are converging to extend the reach of science and accelerate the pace of scientific innovation. With AI, HPC is tackling previously unsolvable problems by modeling the world using experimental and simulation data. It’s also delivering real-time results with models that used to take days or months to simulate.

    See how scientists are using this powerful combination to advance a vast array of fields.

    Scientific Breakthroughs

    Seeing Gravity in Real Time with Deep Learning

    Seeing Gravity in Real Time with Deep Learning

    The Laser Interferometer Gravitational-Wave Observatory (LIGO) detects gravitational waves millions of light years away in real time using NVIDIA GPUs.

    Quantum Breakthrough

    An AI Quantum Breakthrough

    The University of Florida and the University of North Carolina used deep learning with NVIDIA GPUs to develop a neural network engine that produces computationally fast quantum mechanical simulations with high accuracy at very low cost.

    Monitoring Earth’s Vitals with AI

    Monitoring Earth’s Vitals with AI

    To better keep a finger on the pulse of the Earth’s health, NASA developed DeepSat, a deep learning framework for satellite image classification and segmentation, powered by NVIDIA GPUs.

    Fusion Energy

    Speeding the Path of Fusion Energy with Deep Learning

    Researchers at the world’s largest experimental nuclear fusion reactor are working to build the first fusion system to produce net energy.

    Oak ridge national laboratory

    A 21st-Century Planning Tool Built on AI

    Scientists at Oak Ridge National Laboratory (ORNL) used GPU-powered AI to create a more complete picture of the Earth’s residents to predict future resource requirements.

    Clemson University

    Simplifying HPC Application Deployment with NGC

    Clemson University HPC administrators support GPU-optimized containers to help scientists accelerate research.

    Resources

    HYPERION Research: The Exascale Era Has Arrived

    HYPERION Research: The Exascale Era Has Arrived

    The exascale era has begun. Look at the extensive effort NVIDIA and its partners have made to develop the hardware-software ecosystem needed to enable real-world exascale performance.

    HPC Application Workload Analysis Technical Overview

    HPC Application Workload Analysis Technical Overview

    HPC is a fundamental pillar of modern science. Improving the productivity and increasing the number of scientific simulation iterations can have a profound impact on the quantity and quality of breakthroughs.

    The Intersection of HPC and Machine Learning Whitepaper

    The Intersection of HPC and Machine Learning Whitepaper

    Scientists have begun using machine learning (ML) predictive models trained by the datasets produced from traditional analysis and direct observation. Early results indicate that combining ML and traditional simulation can improve accuracy, accelerate time to solution, and significantly reduce costs.

    High Performance Computing News

     

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