Articles tagged with Supercomputing
Researchers at University of Helsinki have developed a new method to speed up calculations on quantum computers, reducing the number of measurements required and increasing efficiency. This breakthrough could lead to faster and more sustainable quantum computing.
Researchers have expanded the number of naturally occurring CRISPR-Cas systems, giving a wealth of potential new tools for large-scale gene editing. The discovery could lead to treating complex diseases associated with multiple genes.
Computational studies reveal new states of matter generated by pump-probe spectroscopy, with potential applications in superconductivity control. The work uses Frontera supercomputer to simulate quantum behavior with high precision, opening doors to novel phases and technologies.
Astronomers at UT Austin's McDonald Observatory have discovered a massively dense black hole at the center of dwarf satellite galaxy Leo I, revealing an unprecedented mass ratio between the galaxy and its central black hole. This finding shakes up our understanding of galaxy evolution and dark matter distribution.
The human brain contains trillions of contact points, requiring massive computational resources. Researchers outline the need for exascale computing power to tackle brain complexity.
UC San Diego researchers developed a computer model to understand how viruses travel through the air, shedding new light on airborne COVID-19 transmission. The model simulates aerosol behavior and helps explain why SARS-CoV-2 is highly transmissible through the air.
The WVU-led Dolly Sods GPU cluster enables researchers to accelerate computational research in fields like drug development, interstellar phenomena, and biometrics. The cluster will facilitate the analysis of massive datasets and enable real-time processing of signals from satellites in space.
Simulations show that a migrating planet can produce patterns matching those observed in disks, explaining why planets are rarely found near outer rings. The findings also help to confirm the planet theory for ring formation.
Scientists confirm existence of sigma-hole, a phenomenon previously predicted but never directly observed. This breakthrough enables understanding of interactions between individual atoms or molecules, facilitating refinement of material and structural properties.
Researchers from Delft University of Technology and the University of Illinois at Urbana-Champaign have developed a method to identify individual proteins with single-amino acid resolution, reducing errors to practically zero. Using DNA nanopores and supercomputer simulations, they characterized protein sequences with high accuracy.
Scientists used computational strategies to evaluate antibiotic candidates, identifying a promising new variant that is up to 56 times more active than existing antibiotics. This approach enables faster and more affordable development of new antibiotics, helping to combat resistance.
Theoretical physicists modelled the region around M87's supermassive black hole, confirming that gravity plays a key role in accelerating particles out to thousands of light years. The findings provide further evidence for Einstein's theory of general relativity and its application to astrophysical phenomena.
The PRACE COVID-19 Fast Track Call allocated thousands of years of computer simulations to help fight COVID-19, yielding key lessons for the scientific community. Researchers across Europe used over half a billion core hours of HPC resources to tackle various aspects of the pandemic.
The AbacusSummit simulations are the largest-ever produced, clocking in at nearly 60 trillion particles. They will help scientists extract information about the universe from upcoming surveys of the cosmos.
Researchers at Skoltech extend the adiabatic theorem to finite temperatures, ensuring more stable quantum dynamics. The findings have significant implications for next-generation quantum devices and computing.
Brookhaven Lab particle physicist Kétévi Assamagan has been elected as an APS Fellow for his significant contributions to the Standard Model Higgs boson research. He is also recognized for leading physics outreach programs, including founding the African School of Fundamental Physics and Applications.
Researchers used a supercomputer to emulate Google's quantum processor and discovered a reachability deficit, a performance limitation induced by a problem's constraint-to-variable ratio. The study showed that future experiments will require significantly more quantum resources to overcome this limit.
Scientists at Aarhus University are working on a nano-sized brain-inspired computer that can harvest its own energy, making it the smallest and most efficient AI system yet. The project aims to reduce power consumption by 12 orders of magnitude compared to modern supercomputers.
Researchers created a massive virtual universe, Uchuu, consisting of 2.1 trillion particles in a computational cube spanning 9.63 billion light-years. The simulation allows for the study of dark matter and large-scale structure on an unprecedented scale.
Researchers developed WebFRIS, a web-based platform to provide socio-economic vulnerability analysis and simplify flood risk information. The tool can help formulate targeted solutions and enhance social capacity and resilience in flood-prone regions.
The Center for Research on Programmable Plant Systems (CROPPS) aims to create systems that enable plants to communicate their hidden biology to sensors, optimizing growth and the local environment. This will lead to breakthrough discoveries, new educational opportunities, and transformative management of crops.
A new study simulates global warming at unprecedented resolution, revealing that increasing CO2 concentrations will weaken the intensity of the ENSO temperature cycle. This could lead to fewer El Niño and La Niña events, with potential implications for rainfall extremes.
Researchers developed a new model to study turbulent puffs, revealing the impact of temperature and humidity on turbulence. The findings suggest that buoyancy plays a significant role in shaping the behavior of tiny fluctuations within the puff, which can affect the movement of airborne droplets.
Scientists have discovered a hidden 'gate' in the SARS-CoV-2 spike protein that allows the virus to infect cells. The discovery reveals a glycan mechanism that opens the gate, enabling the virus to enter host cells. This breakthrough could lead to new therapeutics to counter COVID infection.
Researchers at The Rockefeller University have revealed a more nuanced historical wave pattern to the rise of transistor density in silicon chips. The study highlights six waves of improvements, each lasting about six years, with significant increases in transistor density per chip.
Researchers are working to improve space weather forecasting to prevent power grid damage and satellite communications disruptions. The University of Michigan's Space Weather Modeling Framework uses a global representation of Earth's Geospace environment to predict magnetic disturbances on the ground.
A team of researchers from the Flatiron Institute and Princeton University has found that the magnetic field around a black hole quickly decays when surrounded by plasma. This process, known as 'magnetic reconnection,' rapidly drains the magnetic field and could explain flares seen near supermassive black holes.
Researchers found that large asteroids from the outer half of the main asteroid belt strike Earth at least 10 times more often than previously calculated
A team of researchers has developed a new AI framework that allows for accelerated and scalable detection of gravitational waves. The framework, built using NVIDIA GPUs, can process large datasets in real-time, enabling the detection of four binary black hole mergers in under seven minutes.
Researchers have developed a machine learning program that accurately predicts the band gap of photovoltaics materials in milliseconds, using freely available software. This breakthrough could render supercomputers unnecessary for some applications, as stoichiometry is found to be a crucial factor in predicting band gaps.
Researchers at UT Austin developed a machine learning model that predicts the amount of lateral movement in soil during earthquakes, achieving 80% accuracy. The model uses over 7,000 data points from Christchurch, New Zealand, and was trained on the Frontera supercomputer.
The Brainlife.io platform uses cloud technologies to democratize neuroscience research, allowing scientists to process, visualize, and manage large amounts of data. The platform provides a suite of web services to support reproducible research, with over 1,600 scientists from around the world accessing it thus far.
Scientists discovered the molecular motor that packages genetic material into double-stranded DNA viruses. The advance provides insight into a critical step in the reproduction cycle of viruses such as pox- herpes- and adeno-viruses, which could inspire researchers creating microscopic machines.
Researchers at Skolkovo Institute of Science and Technology used the Zhores supercomputer to develop a new method for generating gamma-ray combs, which are essential for nuclear spectroscopy and medicine. The method uses polarization-gated pulses to reduce ponderomotive spectral broadening, allowing for high-brightness gamma-ray sources.
George Slota, a computer scientist at Rensselaer Polytechnic Institute, has been granted a $490,000 grant to develop approaches for mapping complex petascale data to exascale hardware. His work aims to create scalable open-source software and frameworks to enable the broader scientific community to easily address these challenges.
Researchers compared GPU performance on AMD and Nvidia accelerators, porting LAMMPS to new open-source technology AMD HIP. The study found performance is influenced by both hardware and software environments, with ineffective drivers causing delays.
Large-scale simulations reveal the dominant G form variant of SARS-CoV-2 is more infectious due to its ability to readily bind to its target host receptor. The variant's symmetry in interactions with receptors also makes it more vulnerable to antibody neutralization.
Researchers used HPC resources to run lattice QCD calculations, finding a different value for the Standard Model prediction of muon behavior. The results are consistent with an experimental finding, suggesting that further research is needed to verify the results.
Computational biophysics research uncovers mechanism for HIV-1 virus importing nucleotides into its core for DNA synthesis. The study challenges the prevailing view of the viral capsid and reveals an active role in regulating a key step in the virus's life cycle.
Researchers found a new mechanism accelerating gas bubble escape from uranium dioxide crystal matrix to the surface, resolving discrepancy between theory and experiment. The discovery sheds light on radiation safety and properties of nuclear fuels.
Researchers are investigating the origins of a lost ocean fragment below Western US, using simulations and modeling to recreate its position and movement over time. The study aims to improve understanding of the Earth's interior behavior, earthquake forecasts, and mineral exploration.
The Frontera supercomputer has expanded its capabilities to accelerate life sciences research during the COVID-19 pandemic and support rapid responses to emergencies like hurricanes and earthquakes. The expansion adds nearly 400 server nodes, increasing compute time by nearly 3.5 million node hours annually.
University of Sussex researchers develop a method to turbocharge desktop PCs, allowing for large-scale brain simulations with significant sustainability benefits. This innovation makes it possible for more researchers worldwide to carry out research on brain models, including the investigation of neurological disorders.
The new HPE-Cray EX supercomputer will be a 19.87-petaflops system, 3.5 times faster than the existing Cheyenne supercomputer, and will enable researchers to conduct advanced studies on climate change, severe weather, and other Earth system processes.
The Last Journey simulation, performed on Argonne's supercomputer Mira, studied the distribution of mass across the universe over time. The team used a workflow combining HACC and CosmoTools to analyze and record relevant information during the simulation.
A new framework predicts likelihood and impact of earthquakes over an entire region by simulating hundreds of thousands of years of seismic history in California. The results compare well with historical earthquakes and display a realistic distribution of earthquake probabilities.
Engineers design aircraft capable of handling extreme turbulence by simulating complete vortex collisions at reduced computational time. The CvP-LES model captures super complex physics without extensive data processing, enabling aircraft designs for fighter jets and helicopters.
Simulations reveal that longitudinal fluctuations preferentially mix with ions, leaving electrons cooler, while transverse fluctuations can mix with both. This finding has significant implications for understanding astronomical observations of supermassive black holes.
A team of researchers has introduced Deep Potential Molecular Dynamics (DPMD), a new machine learning-based protocol that can simulate over 100 million atoms per day. The protocol achieves ab initio accuracy and was recognized with the ACM Gordon Bell Prize for its achievement in high-performance computing.
An international team led by The University of Western Australia has been shortlisted for the prestigious Gordon Bell Prize for outstanding achievement in high-performance computing. The team developed data pipelines for the future Square Kilometre Array (SKA) telescope and achieved record-breaking performance on the Summit supercomputer.
Researchers used XSEDE-allocated supercomputers to simulate the structure of the blue whirl, a new type of flame that consists of four separate flames. The simulations revealed the three types of flames that make up the bright rim of the blue whirl, which can be used to burn fuels more cleanly.
Researchers use advanced simulation to model large mass ratio black hole merger, predicting characteristics of ultimate merged black hole and its speed. The simulation's success could help plan future gravitational wave detectors and answer mysteries about black holes.
The University of Texas at Austin has been selected by the Department of Energy to establish a Multidisciplinary Simulation Center, focusing on developing next-generation exascale predictive simulation capabilities. Researchers will combine computational simulations and physical experiments to improve predictive power.
Scientists have published a new calculation to test for tiny differences between matter and antimatter, building on the 1963 Nobel Prize-winning experiment that observed a slight difference in kaon decays. The new calculation provides more accurate predictions for kaon decays and offers a way to search for effects beyond the Standard M...
The University of Texas at Dallas has gained access to high-performance computing resources through the donation of systems like Stampede1, increasing its research capabilities. The introduction of Ganymede has enabled researchers to conduct complex projects like seismic imaging and data science, reducing computation time by up to 5 days.
Biological condensates, previously known as membrane-less organelles, have been found to play a crucial role in DNA repair and aging. Researchers used the Frontera supercomputer to study their behavior and recruitment of molecules.
The EuroCC project, coordinated by the Gauss Centre for Supercomputing, will build a sustainable European HPC ecosystem. The network will be supported by CASTIEL, which will promote interaction and expertise exchange across the entire EuroCC network.
A new AI system has been developed to detect cryptocurrency miners hijacking supercomputers for illicit mining. The system compares programs based on graphs, identifying malicious codes and preventing computing power theft.
Researchers at the University of Delaware used supercomputing resources to gain insights into the hepatitis B virus's genetic blueprint and how its protein shell assembles itself. They found that a mutation impairs this assembly process, revealing communication between different regions of the protein.
Researchers at Washington University in St. Louis developed a new algorithm called Parallel Residual Projection (PRP) to solve linear inverse problems by breaking them down into smaller tasks that can be solved in parallel on standard computers.