As organizations in every industry rush to enrich their own private data sets with LLMs, the quest for more and better data is unfolding at a scale never seen before, stretching the limits of present-day infrastructure in new and disruptive ways. Yet the sheer scale of the data sets ingested by LLMs raises an important […]
The world is currently experiencing two of the largest societal upheavals since the beginning of the Industrial Revolution. One is the rapid improvement and implementation of artificial intelligence (AI) tools, while the other is the sprint toward clean energy deployment in the face of the global climate crisis. Rick Stevens, Associate Laboratory Director and Argonne […]
The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a […]
Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until they converge to a solution that accurately models the data. This convergence process is crucial but can be extremely slow, taking days or weeks to complete with […]
In the universe of numeric computation, one way to predict the future is to draw lines based on the past. Though not always perfect, predicting how fast a supercomputer will run the HPC benchmark in the future is often about extending lines. These lines reflect computational efficiencies and bottlenecks that ultimately shape the near-term exceptions […]
Researchers at the University of Helsinki have succeeded in something that has been pursued since the 1970s: explaining the X-ray radiation from the black hole surroundings. The radiation originates from the combined effect of the chaotic movements of magnetic fields and turbulent plasma gas. The post Supercomputer Simulations Offer Explanation for X-ray Radiation from Black […]
June 20, 2024 — A team of Los Alamos National Laboratory scientists plan to use artificial intelligence modeling to forecast, and better understand, a growing threat to water caused by toxic algal blooms. Fueled by climate change and rising water temperatures, these harmful algal blooms, or HABs, have grown in intensity and frequency. They have […]
A new study led by scientists at the Department of Energy’s Pacific Northwest National Laboratory finds that coastal conditions have changed since 1979, driving nearshore hurricanes around the world to intensify at a quickening pace. Moreover, new projections suggest this rate will continue climbing should current warming trends continue. The new work was published recently […]
A team led by researchers at the Department of Energy’s Oak Ridge National Laboratory explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The post ORNL: World’s Fastest Supercomputer Takes on Large Language Modeling appeared first on HPCwire.
Laboratories are running supercomputers for much longer, beyond the typical lifespan, as vendors prematurely deprecate the hardware and stop providing support. A typical supercomputer lifecycle is about five to six years. However, Japan-based RIKEN is planning to run its existing Fugaku for ten years, and Lawrence Livermore National Labs (LLNL) has some systems running for […]
