Modern cyber threats have grown increasingly sophisticated, posing significant risks to federal agencies and critical infrastructure. According to Deloitte, cybersecurity is the top priority for governments and public sectors, highlighting the need to adapt to an increasingly digital world for efficiency and speed. Threat examples include insider threats, supply chain vulnerabilities��
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Researchers at Los Alamos National Laboratory in New Mexico are working toward earthquake detection with a new machine learning algorithm capable of global monitoring. The study uses Interferometric Synthetic Aperture Radar (InSAR) satellite data to detect slow-slip earthquakes. The work will help scientists gain a deeper understanding of the interplay between slow and fast earthquakes��
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Today, NVIDIA is announcing the availability of the HPC SDK version 21.3. This software can be downloaded now free of charge. Download Now Pull Container from NGC What��s New See the HPC SDK Release Notes for more information. About the NVIDIA HPC SDK The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools enabling developers to program the��
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This year at GTC you will join speakers and panelists considered to be the pioneers of AI who are transforming AI possibilities in government and beyond. By registering for this free event you��ll get access to our top sessions below. Visit the GTC website to view more recommended Public Sector sessions and to register for the��
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Connect online with our developer community, partner ecosystem, and the brightest minds in the industry at GTC this fall to learn about the latest innovations and techniques for AI, computer vision, deep learning, data science, simulation, training, HPC, and more. Make sure to catch the many Deep Learning Institute trainings being offered as GTC this fall including: There will be��
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Scientists and researchers are racing against the clock to find a cure for COVID-19. The search requires the screening of billions of drug candidates and identifying the right chemical structure that will most favorably bind��and interfere��with the virus. However, calculating the binding potential is computationally intensive, taking years to screen a billion compounds on a CPU system.
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By Dong Yang, Thomas Sanford, and Daguang Xu. Last year, the National Institutes of Health (NIH) and NVIDIA began working together on the development of several clinical deep learning tools in diagnostic and interventional imaging. The research involved the analysis of prostate cancer using imaging and pathology data from clinical trials at the NIH. Prostate cancer is a significant��
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By Alison Lowndes With the world focused on the 50th Anniversary of Man��s first footsteps on the Moon, the periphery is filled with preparation and innovation for the launch of an entirely ��New Space�� industry, which will land the planet��s first Woman onto the Moon��s surface by 2024. Named after Apollo��s twin sister, the Greek Goddess of the Moon, the Artemis program has already contracted��
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During a large earthquake, energy rips through the ground in the form of seismic waves that can cause serious harm on densely populated areas. The effects of earthquakes can be difficult to predict, and even the best modeling and simulation techniques to date have been unable to capture some of these earthquakes�� more complex characteristics. To better manage cities at risk for these violent��
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In a new video, Jeroen Tromp a professor in the Department of Geosciences at Princeton University describes how he and his team are imaging the earth��s interior with Summit, the world��s fastest supercomputer. ��The goal of our research is to image the Earth��s interior on a global scale. We��re basically 3D cartographers of the Earth��s mantle,�� Tromp said. The Theoretical &
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According to the National Centers for Environmental Information (NOAA) In 2018, there have been over seven weather and climate disaster events with losses exceeding $1 billion each in the United States. The most recent, Hurricane Florence, has already claimed over 51 lives. To help identify and predict weather patterns that have the potential to cause significant harm to both infrastructure and��
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Designing materials that can withstand the force of nuclear power is pivotal to maintaining the integrity of nuclear reactors. However, performing manual inspections of materials is time-consuming, prone to error, inconsistent, and does not scale well. To solve the problem, researchers from the University of Wisconsin-Madison and the Oak Ridge National Laboratory in Tennessee developed a deep��
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Measuring how tumors react to cancer treatment plays a major role in determining a patient��s outcome. The process, normally performed by trained radiologists, is labor-intensive, subjective and prone to inconsistency. To help alleviate the problem, researchers at the National Institutes of Health, the Ping An Insurance company, and a researcher presently at NVIDIA developed a deep learning-based��
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Researchers at the National Institutes of Health (NIH), led by visting fellow Dakai Jin, developed a deep learning-based system to automatically inpaint and detect pulmonary nodules, which are round or oval-shaped growths in the lung. ��Deep learning has achieved significant recent successes. However, large amounts of training samples, which sufficiently cover the population diversity��
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The U.S. Department of Energy��s Oak Ridge National Laboratory (ORNL) today announced Summit as the world��s most powerful supercomputer. The GPU-accelerated supercomputer, equipped with 27,648 NVIDIA Volta GPUs and configured using the high-speed NVLink interconnect, is designed for research in energy, advanced materials, and artificial intelligence. The system can perform more than three��
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Today the world of open science received its greatest asset in the form of the Summit supercomputer at Oak Ridge National Laboratory (ORNL). This represents an historic milestone because it is the world��s first supercomputer fusing high performance, data-intensive, and AI computing into one system. Summit is capable of delivering a peak 200 petaflops, ten times faster than its Titan predecessor��
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Researchers at the Oak Ridge National Laboratory in Tennessee developed a deep learning-based system that can map every building in the contiguous United States from satellite imagery. The system, which is the first to map the country and the spatial extent between buildings, has the potential to help emergency planning before and after a disaster strikes. ��The generated model output covering��
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Researchers from the Lawrence Livermore National Laboratory in California developed a deep learning-based method that can reconstruct blurry or pixelated images without seeing the original. The work is the first that delivers a single unsupervised solution to solving inverse problems. Using a generative adversarial network (GAN), the researchers were able to reconstruct the images in a��
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The Biowulf supercomputer at the National Institutes of Health (NIH) received an upgrade with the addition of 144 NVIDIA GPUs to help researchers discover new cures and save lives. According to CSRA, the system integrator and service company responsible for the installation: ��The second stage of computing power announced today will enable NIH researchers to make important advances in biomedical��
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To investigate the nature of dark matter and dark energy, researchers from University of Zurich simulated the formation of our entire universe with the help of two GPU-accelerated supercomputers. With their revolutionary code called PKDGRAV3, the group of astrophysicists developed a catalog of nearly 25 billion virtual galaxies generated from a two-trillion particle cosmological simulation using��
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A team of researchers led by Jeroen Tromp at Princeton University used a GPU-accelerated supercomputer to create a detailed 3D picture of Earth��s interior. ��This is the first global seismic model where no approximations �� other than the chosen numerical method �� were used to simulate how seismic waves travel through the Earth and how they sense heterogeneities,�� said Ebru Bozdag��
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Ishtar Nyawira, a data science intern at the Pittsburgh Supercomputer Center shares how she is using deep learning and the GPU-accelerated Bridges supercomputer to automate the process of biological image annotation from high-resolution scanning electron microscope (SEM) imagery. The goal of the project is to ultimately understand how the neurons in our brains are wired.
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James Parr, co-director of the NASA Frontier Development Lab (FDL) shares how NVIDIA GPUs and deep learning can help detect, characterize and deflect asteroids. The FDL hosted 12 standout graduate students for an internship to take on the White House��s Asteroid Grand Challenge, an ongoing program that aims to get researchers to ��find all asteroid threats to human populations and know what to do��
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Sangram Ganguly, a senior research scientist at the NASA Ames Research Center shares how they are analyzing satellite imagery with deep learning to gain a better understanding of our planet. As a founding member of NASA Earth Exchange (NEX), which utilizes NASA��s GPU-accelerated Pleiades supercomputer, Ganguly helped develop the collaboration platform that combines state-of-the-art supercomputing��
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Scientists used an extremely high-resolution transmission electron microscope to capture 2D projections of the nanoparticle��s structure, and used an algorithm to stitch those together into a 3D reconstruction. The unprecedented detail sheds light on the material��s properties at the single-atom level and the insights gained from the particle��s structure could lead to new ways to improve its��
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Phil Maechling, a computer scientist at USC��s Southern California Earthquake Center shares how they are using the Tesla GPU-accelerated Titan and Blue Waters supercomputers with CUDA to analyze the impact of earthquakes and why and when they occur. ��Instead of waiting for earthquakes to happen, we do physics-based simulations of ��scenario�� earthquakes,�� said Maechling. ��We use the results to��
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Researchers from ETH Z��rich and the Universities of Z��rich and Bern simulated different scenarios on the computing power of the GPU-accelerated Swiss National Supercomputing Centre (CSCS) to find out how young giant planets exactly form and evolve. ��We pushed our simulations to the limits in terms of the complexity of the physics added to the models,�� said Judit Szul��gyi��
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Janus Juul Eriksen, a Ph.D. fellow at Aarhus University in Denmark, shares how he is using OpenACC to optimize and accelerate the quantum chemistry code LSDalton on the Titan Supercomputer at Oak Ridge National Laboratory. ��OpenACC makes GPU computing approachable for domain scientists,�� said Eriksen. ��Initial OpenACC implementation required only minor effort, and more importantly��
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Devin White, Senior Researcher at Oak Ridge National Laboratory shares how they are using GPUs to improve the geolocation accuracy of imagery collected by a satellite, manned aircraft, or an unmanned aerial system. Using Tesla K80 GPUs and CUDA, the researchers in the Geographic Information Science and Technology Group at ORNL developed a sensor-agnostic, plugin-based framework to support��
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A team lead by Cornell University researchers are using the Titan Supercomputer at Oak Ridge National Laboratory to study mechanisms of sodium-powered transporters in cell-to-cell communications. Harel Weinstein��s lab at the Weill Cornell Medical College of Cornell University have constructed complex 3D molecular models of a specific family of neurotransmitter transporters called neurotransmitter��
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The Handford site in southeastern Washington is the largest radioactive waste site in the United Sates and is still awaiting cleanup after more than 70 years. Cleaning up radioactive waste is extremely complicated since some elements stay radioactive for thousands of years. Scientists from Lawrence Berkeley National Laboratory and six universities: The State University of New York at Buffalo��
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Oak Ridge National Lab, NVIDIA and PGI launched the OpenACC Hackathon initiative last year to help scientists accelerate applications on GPUs. OpenACC was selected as a primary tool since it offers acceleration without significant programming effort and works great with existing application codes. University of Delaware (UDEL) hosted a five-day Hackathon last week. Selected teams of scientific��
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Scientists from University of Washington, Warsaw University of Technology in Poland, Pacific Northwest National Laboratory, and Los Alamos National Laboratory, have developed a model that provides a detailed look at what happens during the last stages of the fission process. According to their research paper, nuclear fission has almost reached the venerable age of 80 years and yet we still lack��
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Jeroen Tromp, Professor at Princeton University shares how his team is using the Tesla GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory to image the earth��s interior on a global scale. Tromp and his team are simulating seismic wave propagation by analyzing hundreds of earthquakes recorded by thousands of stations across the world to create 3D global tomographic maps.
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