As the pandemic swept across the world, virtually every research supercomputer lit up to support Covid-19 investigations. But even as the world transformed, the fairly stable status quo of simulation-based scientific computing was itself beginning to more rapidly change with the burgeoning field of AI and AI-specific accelerators. The post Argonne Talks AI Accelerators for […]
Argonne Talks AI Accelerators for Covid Research
August 19th, 2022 |CERN’s LHC Experiments Increase Use of GPUs to Improve Computing Infrastructure
August 18th, 2022 |Analyzing as many as one billion proton collisions per second or tens of thousands of very complex lead collisions is not an easy job for a traditional computer farm. With the latest upgrades of the LHC experiments due to come into action next year, their demand for data processing potential has significantly increased. As their […]
Supercomputing, Paper Cutting Underpin Stretchable Electronics Research
August 17th, 2022 |Some wearable electronics—like sensors sewn into fabrics, or applicable “skins”—rely on the development of new, durable, stretchable electronic materials. One way to enhance the elasticity of these often-delicate materials is by introducing strategic cuts into them, creating a stretchable mesh. Recently, a team of researchers from the University of Southern California approached this materials design […]
Supercomputer Research Uses Earthquakes to Model the Planet
August 2nd, 2022 |The deepest hole ever dug by humans reached just over seven and a half miles into the planet — less than 1/1000th of the Earth’s nearly 8,000-mile diameter. Understanding the composition of our planet is, therefore, a challenging proposition that predominantly relies on the extrapolation of proxy metrics. Prominent among these metrics are seismic waves, […]
Argonne Scientists Make High Energy Physics Data More FAIR
August 1st, 2022 |For scientists, data is the lifeblood of research. Collecting, organizing and sharing data both within and across fields drives pivotal discoveries that make us better off and more secure. Making data open and available, however, only answers part of the question about how different scientists — often with very different training — can draw useful conclusions from the same […]
TACC Resources Aid NIST in Developing Neural Network for Materials Prediction
July 29th, 2022 |When Tony Stark needs to travel to space in the original Iron Man movie, he asks his artificial intelligence (AI) assistant J.A.R.V.I.S. to make a suit that can survive harsh conditions. As AI specialist Kamal Choudhary explains: “The way I see it, what J.A.R.V.I.S. did is, it had a database of materials, scanned the database, […]
TACC Supercomputer Powers Carbon Capture Simulations
July 27th, 2022 |As climate change continues to accelerate, many scientists are increasingly worried that the world will not be able to reduce its reliance on fossil fuels quickly enough to meaningfully avert worst-case scenarios. Carbon capture and storage (CCS) technologies, which would remove carbon dioxide from the atmosphere and store it have been hotly discussed and prototyped […]
LUMI Supercomputer Aids in Nordic Climate Modeling
July 25th, 2022 |EOSC-Nordic, the Nordic and Baltic coordinator of the European Open Science Cloud is running calculations on the new pre-exascale supercomputer, LUMI, through one of the chosen Norwegian pilot projects for the new HPC system in Finland. The post LUMI Supercomputer Aids in Nordic Climate Modeling appeared first on HPCwire.
Tiny Chips Cause Giant Error Correction Challenges
July 21st, 2022 |It’s no secret that finding and correcting errors in modern computer chips is an ever-growing problem. An article published this week in the New York Times (NYT) – Tiny Chips, Big Headaches – suggests the challenge is reaching critical proportion. While not especially technical, the NYT piece includes comments from chip players and cites papers by […]
IonQ, Duke Report Multi-Qubit Gate Advance for Quantum Computing
July 20th, 2022 |Duke University and IonQ researchers today reported developing a powerful new approach to executing multi-qubit entanglement gates that “can dramatically simplify quantum circuit structures, speed up their execution, and extend the power of quantum computer systems facing decoherence.” The post IonQ, Duke Report Multi-Qubit Gate Advance for Quantum Computing appeared first on HPCwire.