Articles tagged with Supercomputing
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
A team of researchers found that unequal neutron-star mergers can create an electromagnetic signal, which could be detected using gravitational-wave detectors like LIGO. The simulations revealed that the larger star tears apart its partner, creating a slower merger and allowing an 'electromagnetic bang' to escape.
USTC successfully completed a large-scale solid system simulation with tens of thousands of atoms using the Sunway TaihuLight supercomputer. The achievement demonstrates the power of domestic high-performance parallel computing software and hardware.
A team of scientists has confirmed that liquids show elasticity and rigidity like solids at the microscopic scale, contrary to long-held assumptions. The study's findings have significant implications for nanodevices, nanostructures, and metamaterials.
Fugaku achieved a LINPACK score of 415.53 petaflops, surpassing its nearest competitor Summit in the US, and ranked first on HPCG and Graph 500. The supercomputer will address high-priority social and scientific issues through various applications.
Researchers at KU Leuven have created a self-consistent simulation of solar flares, allowing them to calculate the energy conversion efficiency. This breakthrough enables the prediction of key aspects of space weather phenomena, including the Northern Lights.
A joint research team from Hong Kong, Beijing, and Shanghai discovered a rare-earth magnet TmMgGaO4 (TMGO) that realizes the long-sought-after two-dimensional topological Kosterlitz-Thouless (KT) phase. The breakthrough provides the missing piece of KT phenomena in bulk magnetic materials.
The COMPASS experiment at CERN is analyzing the proton's inner structure using particle collisions and complex algorithms. The team confirmed a theoretically expected sign change in the Sivers function, which relates to quark orbital motion inside the proton.
Sandia will be one of the first DOE laboratories to receive Fujitsu's new A64FX processor, optimized for memory-speed bottleneck breakage. The 48-core processor provides greater fractions of usable peak performance and supports collaboration with the Japanese supercomputing community.
Scientists developed a computational pipeline to screen drugs for induced arrhythmias, distinguishing between proarrhythmic agents and safe ones. The pipeline uses multi-scale computer simulation data to predict proarrhythmia vulnerability, enabling the identification of potentially toxic compounds.