Feature Channels: Supercomputing

• share
• favorite_border

Hardware and software improvements shorten ‘run time’ from year to a day.

• share
• favorite_border

A study published in the Journal of Chemical Information and Modeling reports the discovery of a molecule with significant potential to disable the COVID-19 virus. The molecule was identified using high-throughput virtual screening—a search through a library of 6.5 million in-stock compounds that could quickly be scaled up for drug production using some of the nation’s most powerful supercomputers and other research tools.

• share
• favorite_border

To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from the Department of Energy’s Oak Ridge National Laboratory developed a novel technique.

• share
• favorite_border

Peter Lindstrom is the project leader at Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing, where he develops efficient ways to avoid bottlenecks while moving data.

• share
• favorite_border

Researchers are exploring chromium defects in silicon carbide as potential spin qubits. These spin qubits would be compatible with telecommunications optical fibers, making them potentially useful for optical fiber-based quantum networks. Researchers recently investigated new ways to make high-quality chromium defects in silicon carbide.

• share
• favorite_border

A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.

• share
• favorite_border

The MiikeMineStamps dataset of stamps provides a unique window into the workings of a large Japanese corporation, opening unprecedented possibilities for researchers in the humanities and social sciences. But some of the stamps in this archive only appear in a small number of instances. This makes for a “long tail” distribution that poses particular challenges for AI learning, including fields in which AI has experienced serious failures. A collaboration between scientists at the University of Pittsburgh (Pitt), PSC, DeepMap Inc. of California and Carnegie Mellon University (CMU) took up this challenge, using PSC’s Bridges and Bridges-2 systems to build a new machine learning (ML) based tool for analyzing “long tail” distributions.

• share
• favorite_border

Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant challenge. An international team has gained additional insights into a material compound called vanadium oxide, or VO2, that might be the missing ingredient needed to complete a reliable neuromorphic recipe.

• share
• favorite_border

A new kind of benchmark test, designed at Sandia National Laboratories, predicts how likely a quantum processor will run a specific program without errors, revealing the technology's true potential and limitations.

• share
• favorite_border

Particles in quantum systems have many potential values, making them hard to simulate with a conventional computer. Researchers have proposed a new way to prepare energy states of a simulated quantum system using a quantum computer. Researchers first determine the energy state they are interested in creating. The quantum computer starts the system in a simplified state, then produces different combinations of how the variables evolve over time, then eliminates the energy states that don’t match researchers’ targets.

• share
• favorite_border

Artificial intelligence techniques have the potential to advance science in a variety of fields. Argonne scientists are making some of those techniques faster and more efficient, speeding up the process of scientific discovery.

• share
• favorite_border

A team led by Emily Belli of General Atomics used the Summit supercomputer at Oak Ridge National Laboratory to model plasma turbulence in a nuclear fusion device . The simulations will help inform the design of next-generation tokamaks like ITER with optimum confinement properties.

• share
• favorite_border

In October, a scientist whose research was supported by modeling and simulation efforts on supercomputers at the US Department of Energy’s Oak Ridge National Laboratory shared the Nobel Prize in Chemistry 2021.

• share
• favorite_border

Ilke Arslan is the director of the Center for Nanoscale Materials user facility, where understanding everything starts at the nanoscale.

• share
• favorite_border

A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor for her work in developing new materials for batteries.

• share
• favorite_border

More than 250 researchers across nearly two dozen research groups—from computer science to materials science to robotics will benefit from the faster and larger computing power of a new “Artificial Intelligence SuperComputer” (AISC) at Case Western Reserve University. The nearly $1 million computer system, expected to be installed and in use by summer 2022, is the university’s largest and far more powerful than anything university researchers had access to before.

• share
• favorite_border

The lead of SDSC’s Distributed High-Throughput Computing Group, executive director of the Open Science Grid, a physics professor and a founding faculty member of the Halıcıoğlu Data Science Institute at UC San Diego becomes SDSC's new director.

• share
• favorite_border

Scientists at UVM, Tufts, and Harvard discovered a new form of biological reproduction—and created self-replicating living robots. Made from frog cells, these computer-designed organisms gather single cells inside a Pac-Man-shaped “mouth”—and release Xenobot “babies” that look and move like themselves.

• share
• favorite_border

Scientists have devised a way to engineer yeast to produce sustainable, eco-friendly commodity chemicals using computing power as a guide.

• share
• favorite_border

A suite developed by a Lawrence Livermore National Laboratory (LLNL) team to simplify evaluation of approximation techniques for scientific applications has won the first-ever Best Reproducibility Advancement Award at the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21).

• share
• favorite_border

A team used machine-learned descriptions of interatomic interactions on the 200-petaflop Summit supercomputer at Oak Ridge National Laboratory to model more than a billion carbon atoms at quantum accuracy and observe how diamonds behave under extreme pressures and temperatures.

• share
• favorite_border

A team of scientists from the U.S. Department of Energy’s Oak Ridge National Laboratory used the nation’s fastest supercomputer to streamline the search for potential treatments for COVID-19.

• share
• favorite_border

Scientists used the nation’s fastest supercomputer to peer inside the intricacies of how the SARS-CoV-2 virus reproduces itself.

• share
• favorite_border

A team led by Rommie Amaro of the University of California San Diego has used ORNL’s Summit supercomputer to model an aerosolized SARS-CoV-2 viral particle for the first time. The 1.05-billion-atom system is among the largest biochemical system ever simulated at the atomic level.

• share
• favorite_border

Argonne leaders discuss the advent of exascale computing and what lies ahead, including the challenges for developers and expectations of researchers. They also provide some insight on AI’s potential to forge new frontiers in automation and real-time analysis.

• share
• favorite_border

Forming planets are one possible explanation for the rings and gaps observed in disks of gas and dust around young stars.

• share
• favorite_border

As scientists continue to catalog genomic variations in everything from plants to people, today’s computers are struggling to provide the power needed to find the secrets hidden within mass amounts of genomic data.

• share
• favorite_border

Scientists may have made a giant leap in fighting the biggest threat to human health by using supercomputing to keep pace with the impressive ability of diseases to evolve. A new study by an international team, co-led by Dr Gerhard Koenig from the University of Portsmouth, tackled the problem of antibiotic resistance by redesigning existing antibiotics to overcome bacterial resistance mechanisms.

• share
• favorite_border

Argonne National Laboratory received nearly $1.2 million in funding from the Department of Energy to support four manufacturing and materials development projects that have the potential to improve energy efficiency.

• share
• favorite_border

The National Science Foundation funds more than $11M to CAIDA at UC San Diego, CSAIL at MIT and NSRC at the University of Oregon for two projects aimed at improving internet infrastructure security.

• share
• favorite_border

Using supercomputer-driven dynamic modeling based on experimental data, researchers can now probe the process that turns off one X chromosome in female mammal embryos.

• share
• favorite_border

Working to solve a problem, supercomputing researchers may encounter incomplete data or flawed programs.

• share
• favorite_border

“Throw me the idol; I’ll throw you the whip!” - From Raiders of the Lost Ark

• share
• favorite_border

Scientists identified structural and chemical defects that may be causing quantum information loss—an obstacle to practical quantum computation.

• share
• favorite_border

Early career scientists from around the world got intensive, hands-on training using supercomputers at the coveted Argonne Training Program on Extreme-Scale Computing.

• share
• favorite_border

UC San Diego has announced a joint appointment with Los Alamos National Laboratory with the appointment of Senior Scientist Rodman Linn to a three-year position with the Halıcıoğlu Data Science Institute (HDSI). This is the first joint appointment program between Los Alamos and a UC campus.

• share
• favorite_border

Argonne researchers are mapping the complex tangle of the brain’s connections — a connectome — by developing applications that will find their stride in the advent of exascale computing.

• share
• favorite_border

A new way to make complex, layered semiconductors is like making rock candy: They assemble themselves from chemicals in water. The method will aid design and large-scale production of these materials.

• share
• favorite_border

Scientists at Sandia National Laboratories are creating a concept for a new kind of computer for solving complex probability problems that involve random chance.

• share
• favorite_border

Z machine celebrates its colorful history at Sandia

• share
• favorite_border

In a new review article in Nature Photonics, scientists from Los Alamos National Laboratory assess the status of research into colloidal quantum dot lasers with a focus on prospective electrically pumped devices, or laser diodes.