Articles tagged with Supercomputing
The University of Illinois Urbana-Champaign has received USGIF accreditation for its online graduate certificate and master's degree in CyberGIS and Geospatial Data Science. The partnership will train students to address large-scale problems using geospatial sciences, mathematical and statistical sciences, and cyberinfrastructure.
NCSA is leading the way in AI research support, partnering with the National Artificial Intelligence Research Resource Pilot and the NSF-Simons SkAI Institute. The organization is also working on healthcare projects like MarginDX, combining optical imaging technologies with AI screening tools to ensure accurate tumor removal during sur...
A new study by Lancaster University reveals that language in job ads can unintentionally reinforce or disrupt labour force gender/racial composition. Workforces with more women tend to use family-friendly policies in ads, while racial minority workers' ads lack impact, the research shows.
The melting of Greenland's ice sheet is accelerating due to high greenhouse gas emissions, with potential losses of up to 1735 gigatonnes of ice per year. This will lead to a one-meter rise in sea levels, posing a significant threat to millions of people in coastal areas.
NCSA launches Harbor, a fast storage service for global home and software directories, boosting Delta system performance by 400%. Consolidating file systems to VAST namespace improved uptime, load times, and user experience. With Harbor and VAST Data Platform, NCSA achieves scalable and efficient AI infrastructure.
The team used Frontier to conduct a 1,000-fold larger simulation than any previous one, calculating over 2 million correlated electrons. This achievement sets a new benchmark for exascale supercomputing and provides a blueprint for enhancing algorithms to tackle larger scientific problems.
The National Center for Supercomputing Applications (NCSA) has received the Readers' Choice Award: Best HPC Collaboration and Editors' Choice: Best Use of HPC in Physical Sciences. This is the 14th consecutive year NCSA has been honored with an HPCwire award.
A team of researchers developed an exascale climate emulator that offers faster, radically enhanced high-resolution simulations without massive data storage needs. The emulator uses mixed-precision arithmetic to preserve accuracy and improve performance.
A team led by Associate Professor Giuseppe Barca has developed software capable of accurately predicting molecular behavior and setting a new benchmark in computational chemistry. This breakthrough enables scientists to simulate drug performance with accuracy rivaling physical experiments, accelerating new therapeutics design.
A team of researchers developed a new technique combining methods to simulate molecules, achieving accuracy and efficiency on the Frontier exascale supercomputer. They broke records with simulations of over one million electrons and scaled their algorithm to an EFlop/s processing quintillion calculations per second.
The winning team presented an exascale climate emulator that addresses the growing computational and storage requirements of high-resolution Earth System Models. This innovation enables more advanced climate modeling capabilities, holding significant potential for advancing climate research and policy-making.
DeltaAI enables scientists and researchers to address the world's most challenging problems by accelerating complex AI, machine learning, and high-performance computing applications. The system will quadruple NCSA's AI-focused computing capacity and expand the NSF-funded advanced computing ecosystem.
Researchers at New York University developed a mathematical approach, Crystal Math, to predict molecular crystal structures in hours, bypassing weeks or months of supercomputer processing. This breakthrough could speed up R&D for drugs and electronic devices.
Researchers have discovered a mechanism to detach and recycle parts of cellular canal membranes as needed. The study, conducted with supercomputer simulations, shows that protein regions can cause the membrane to bulge and pinch off, forming vesicles for recycling.
Researchers at Argonne National Laboratory have developed an AI-driven protein design framework that uses multimodal data to speed up the design of new proteins. The framework has been selected as a finalist for the prestigious Gordon Bell Prize, recognizing breakthroughs in high-performance computing.
The NSF-Simons AI Institute for the Sky (SkAI), led by Northwestern University, will develop innovative AI tools capable of handling vast data from astronomical surveys. Funded by a $20 million grant, Argonne National Laboratory will help drive this revolution in astronomy.
Researchers at NCSA have presented a novel post-quantum cryptography network instrument to measure PQC adoption rates and ensure secure data safeguarding. The project's findings indicate that only OpenSSH and Google Chrome have successfully implemented PQC, achieving an initial adoption rate of 0.029%.
The team developed an exascale climate emulator with enhanced resolution without increasing data storage needs. The emulator offers a remarkable resolution of 3.5 kilometers, replicating local conditions on a timescale from days to hours.
The U.S. Department of Energy has selected Kate Petersen Mace as the project director for the High Performance Data Facility (HPDF), a first-of-its-kind project providing resources for data-intensive science. Mace will lead the team in developing transformational capabilities to serve the DOE community.
A PSU English professor is using a grant from the National Science Foundation to study one of the world's fastest and largest supercomputers, Aurora. The research aims to answer questions about how supercomputers work, their applications in science and industry, and their impact on the US's position in scientific advancement.
A new study warns that future climate change will intensify wildfires in the Arctic region, leading to an abrupt switch from no fires to very intense ones within just a few years. The accelerated permafrost thawing is expected to increase soil water and vegetation biomass, exacerbating fire fuel.
A team of scientists successfully interfaced AiiDA with the Alps supercomputer, completing over 100,000 calculations in just 16 hours. The run demonstrated the maturity of Swiss-made software tools for computational materials science and showcased the power of Switzerland's main supercomputing facility.
Scientists at ORNL identified a new method to process nanocellulose, reducing energy needs by 21% and lowering production costs. The breakthrough enables the development of sustainable, carbon-neutral materials for 3D printing and construction.
Researchers used high-resolution supercomputers to simulate accretion disk turbulence, finding that slow magnetosonic waves dominate the inertial range. This discovery sheds light on ion heating and acceleration in black hole environments.
Roman Gaydukov developed a method to model fluid flow around rotating disks with small surface irregularities, reducing computational time and cost. The approach can accurately predict fluid flow behavior in chemical reactions and has potential applications in industry.
Researchers at Uppsala University used AI to predict the three-dimensional structure of a receptor, identifying molecules that bind to it with higher accuracy than traditional methods. This breakthrough accelerates the development of new drugs for mental health disorders such as schizophrenia and depression.
Researchers used supercomputer simulations to study the evolution of social norms in subdivided communities. They found that these communities facilitate the emergence and stability of cooperative norms, which are essential for sustained cooperation.
Researchers have developed a chip-based quantum system that can detect unauthorized access in quantum communication, using entangled four-photon states. This technology has the potential to strengthen data security and protect sensitive information from cyber threats.
Researchers at the University of Missouri are developing a two-phase cooling system that efficiently dissipates heat from server chips through phase change. This innovative system drastically reduces the amount of energy needed to keep equipment cool, with early tests showing significant reductions.
Researchers at PNNL are exploring how viruses infect algae to develop a better understanding of the pathogen-host battleground. They are also working on improving climate models by representing atmospheric aerosols more accurately and developing more efficient digital electronics.
Kim Sawyer, a seasoned executive with extensive experience in leadership and strategy, has been appointed as the new director of Jefferson Lab. Sawyer brings a proven track record of driving organizational effectiveness, innovation, and safety culture to her new role.
New simulations show that neutrinos created during neutron star collisions can be trapped at the interface of merging stars and interact with matter for 2-3 milliseconds. This brief out-of-equilibrium phase is crucial in understanding the physics of these extreme events.
A team of researchers used a hybrid approach to track the growth of supermassive black holes, finding that accretion dominated growth in most cases. Mergers made notable contributions, especially for massive black holes over the past 5 billion years.
Researchers at JPMorgan Chase, Argonne National Laboratory and Quantinuum show a quantum algorithmic speedup for the QAOA algorithm on the Low Autocorrelation Binary Sequences problem. The team demonstrates a significant step towards reaching quantum advantage, laying the foundation for future impact in production.
Researchers trained a large language model on the world's fastest supercomputer, Frontier, exploring approaches to data parallelism and optimizing performance. The study aimed to design models that can learn from training data and apply that knowledge consistently and accurately.
Researchers at the University of Melbourne and Manchester have invented a breakthrough technique for manufacturing highly purified silicon, making it ideal for creating powerful quantum computers. The new technique uses qubits of phosphorous atoms implanted into crystals of pure stable silicon, extending the duration of notoriously fra...
Researchers at Iowa State University are developing an AI tool that can identify agricultural pests from photos, including insects and weeds. The project will use a supercomputer to train ensemble models that can analyze images quickly and provide pest-control strategies.
Researchers have found that plants help regulate the planet's atmosphere by trapping carbon and emitting oxygen, acting as a buffer against rapid climate changes. However, when climate shifts too fast for vegetation to adapt, it can lead to mass extinctions and extreme environmental changes.
The position paper identifies eight key areas for digital neuroscience research, including near-term, middle-term, and long-term goals. It also discusses the potential of 'digital twin' approaches, ultra-high-resolution digital atlases, and neuro-derived AI and computing innovations.
A team of over 100 scientists from Brazil and the US ran high-resolution simulations of South America's past and future climate using a weather research and forecasting model. The goal is to better understand hydroclimatic processes and inform adaptation measures for millions affected by climate change.
Researchers reconstructed the entire evolutionary history of birds using advanced algorithms and genomic data from over 60,000 regions. The new family tree reveals patterns in avian diversification following the mass extinction event that wiped out dinosaurs.
The KAUST team developed an open-source platform to detect small DNA differences, revealing over 2 million previously overlooked genetic variants in rice and other crops. This tool will accelerate the discovery of genetic variations for developing crops with improved resilience and yield.
Researchers at ETH Zurich developed a new ion trap for larger quantum computers using static magnetic fields, overcoming previous limitations with oscillating fields. The Penning trap design allows for arbitrary transport and control of qubits, enabling future supercomputers.
Researchers used HLRS's Hawk supercomputer to generate valuable thermodynamic data for chemical engineering research. The simulations provide insights into ammonia's fundamental properties and how they change when mixing with other molecules.
An international team of scientists developed AI technology to analyze limited data on rare diseases. The method uses multi-layer networks to explore relationships between genes in patients, revealing genetic causes and severity. This breakthrough opens new avenues for treating rare diseases, including myasthenic-congenital syndromes.
A team led by Prof. Wolf Gero Schmidt used Hawk supercomputer to study how strategic impurities in solar cells can improve performance. They discovered that certain defects can improve exciton transfer, leading to more energy captured. This breakthrough could lead to more efficient and climate-friendly energy production.
Researchers have discovered large undersea faults on the Pacific Ocean floor that are pulling the Pacific Plate apart. The newly found faults, some thousands of meters deep and hundreds of kilometers long, are weakening the plate due to immense forces within it.
Scientists used Delta's GPU-based architecture to study the life cycle of the Hepatitis B virus, revealing how it binds human proteins called importins. The research provides a platform for developing inhibitors that could block this interaction and prevent the virus from accessing the nucleus.
Researchers from Argonne National Laboratory and the University of Illinois Urbana-Champaign used generative AI to quickly assemble over 120,000 new MOF candidates for carbon capture. The approach combines AI with high-throughput screening, molecular dynamics simulations and theory-based design to identify optimal materials.
Scientists at Linköping University have successfully developed molecular gears with controlled rotary motion, overcoming previous challenges of single bond rotation. This breakthrough paves the way for future applications in medical drug delivery and solar energy storage.
Researchers created a network of 4.9 billion plausible chemical reactions using blockchain, shedding light on prebiotic molecules and primitive metabolism. The study also demonstrates how blockchain can be used to solve complex problems in science at a lower cost.
Researchers have developed a working nanoscale electromotor powered by hydrodynamic flow through a nanopore. This innovation uses DNA origami to create a turbine with precise control over rotational speed and direction. The tiny motor has potential applications in molecular factories, medical probes, and soft propulsion systems.
Most Earth System Models lack accurate representation of permafrost dynamics, a crucial factor in future climate projections. Funding constraints and limited resources are preventing model development from capturing the full scope of complex permafrost processes.
A new study places the likelihood of massive neutron stars having deconfined quark matter at 80-90%. This is made possible through Bayesian statistical inference and massive supercomputer runs. The research has implications for our understanding of particle and nuclear physics, as well as astrophysics.
The PRIYA simulation suite provides a new model for simulating large-scale structure in the universe, constraining cosmological parameters and dark matter. The study confirms the σ8 tension between CMB measurements and weak lensing, with implications for understanding the universe's evolution billions of years after the Big Bang.
Researchers developed a new solver algorithm for the MPAS-Ocean ocean circulation model, reducing run time by 45% and enabling semi-implicit stability. This allows for faster climate predictions and energy efficiency, as well as reduced computational power consumption.
Fatima Bagheri, a UTA postdoc, attended an intensive program on supercomputing at Argonne National Laboratory to expand her knowledge of exascale computers and learn methods to advance her research into exoplanets. The training provided hands-on sessions with supercomputers and expertise from world experts.
Researchers at Duke University have developed a new computational model called Adaptive Physics Refinement (APR) that can simulate the movement of individual cancer cells across long distances within the entire human body. This approach captures detailed cellular interactions and their effects on cellular trajectory, providing valuable...
Biomedical engineers at Duke University created a new 'digital twins' framework using smartwatch data to capture personalized arterial forces over 700,000 heartbeats. This approach reduces the computational load by simulating tasks in parallel, enabling real-time tracking of cardiovascular disease progression and risk assessment.
A new study using twisted magnets as computational medium has made brain-inspired computing more adaptable, reducing energy use and potential carbon emissions. The research found that by applying magnetic fields and changing temperature, physical properties of the materials can be adapted to suit different machine-learning tasks.