A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...
Parallel Works announced that its collaboration with GDIT on a solution to expand a large federal agency's complex, mission-critical weather forecasting HPC workloads to the cloud has been awarded the ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Abstract: Fault monitoring plays a crucial role in modern industrial systems. Timely and accurate monitoring is essential to mitigate economic losses and protect life safety. Traditional data-driven ...
Abstract: The Linear Parameter Varying Dynamical System (LPV-DS) is an effective approach that learns stable, time-invariant motion policies using statistical modeling and semi-definite optimization ...