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Predicting weather. Discovering drugs. Finding new energy sources. With performance that can reach—and even exceed—petascale performance, supercomputing gives researchers the power they need to simulate and predict our world. Improving productivity and increasing the number of scientific simulations can have a profound impact on the quantity and quality of their scientific breakthroughs.

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Today, NVIDIA powers the fastest supercomputers in the U.S. and Europe, as well as some of the most advanced systems under construction. In the U.S., Oak Ridge National Labs (ORNL) has introduced Summit, the world’s smartest supercomputer. Summit fuses high-performance computing (HPC) and AI  to deliver over 200 petaFLOPS of double-precision computing for HPC and 3 exaFLOPS of mixed-precision computing to accelerate scientific discovery.

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网盟彩票代理

网盟彩票代理

From sustainable bioenergy to better understanding disease, Oak Ridge National Lab’s Biosciences Division counts on the Summit supercomputer, powered by NVIDIA V100 Tensor Core GPUs, to solve fundamental biological problems that were impossible before.

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Oak Ridge National Lab’s Scientific Computing Group is using the incredible performance and memory of NVIDIA Volta GPUs to explore supernova explosions and new parts of the nuclear landscape.

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From earthquakes and clean energy to supernovas, the DOE empowers scientists to explore their ideas on the GPU-powered Summit supercomputer at the Oak Ridge Leadership Computing Facility.

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The Department of Geosciences at Princeton University is using Summit, powered by NVIDIA Volta GPUs, to observe and simulate seismic data, imaging the Earth's interior on a global scale.

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Princeton Plasma Physics Laboratory is using Oak Ridge National Lab's Summit supercomputer, powered by NVIDIA Volta GPUs, to simulate and predict plasma behavior for the next fusion reactor. 

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Georgia Tech is on a quest to realize maximum combustion performance with minimal instability. Summit’s computational horsepower is the engine for driving more reliable, predictable flow models for multi-scale, multi-physics simulation.

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Hear how leading industry applications and cutting-edge technologies are transforming HPC.
Watch the SC19 theater featured talks today.

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Run GPU-Accelerated Apps

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From weather prediction and materials science to wind tunnel simulation and genomics, NVIDIA GPU-accelerated computing is at the heart of HPC’s most promising areas of discovery.

The NVIDIA CUDA? programming model is the platform of choice for high-performance application developers, with support for more than 600 GPU-accelerated applications—including the top 15 HPC applications. Many of the top HPC applications are made available as pre-configured, containerized software on NGC.

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  • <span style=

    Weather and Climate

  • <span style=

    Computational Chemistry

  • <span style=

    Physics

Weather and Climate

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Several weather and ocean modeling applications such as the Weather Research and Forecasting (WRF) model and tsunami simulations are achieving tremendous speedups, of more than 5X, that help save time and improve accuracy.

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Computational Chemistry

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With NVIDIA? Tesla? GPUs, researchers can push the boundaries of discovery. A single GPU node can replace several CPU cluster nodes. Compared to CPUs, GPUs accelerate common molecular dynamics, quantum chemistry, visualization, and docking applications more than 5X faster and deliver higher simulation performance per dollar and watt—for faster, deeper, more cost-effective insights.

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Physics

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From fusion energy to high-energy particles, physics simulations span a wide range of applications in the HPC data center. Compared to CPUs, GPUs accelerate the top physics applications by more than 10X, enabling insights previously not possible.

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The HPC Summit at GTC 2020 brings together HPC leaders, IT professionals, researchers, and developers to advance the state of the art of HPC. Explore content from different HPC communities, engage with experts, and learn about new trends and innovations.

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NVIDIA Tesla V100

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NVIDIA Tesla V100 Tensor Core is the most powerful data center GPU ever built to accelerate AI, HPC, data science, and graphics. By pairing CUDA cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU-only servers for both traditional HPC and AI workloads.

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NVIDIA DGX-2?

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AI and data science workloads are becoming increasingly complex and demanding more and more compute power. NVIDIA DGX-2? is the world’s most powerful AI system, delivering 2 petaFLOPS of performance and 16 interconnected GPUs for incredible speed and scale. Designed for mixed-precision computing, it accelerates every workload to solve science’s biggest challenges.

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