Nvidia (United States)

Tipping point forecasting in nonstationary dynamics on function spaces

Tipping points are abrupt, drastic, and often irreversible changes in the evolution of nonstationary and chaotic dynamical systems. For instance, increased greenhouse gas concentrations are predicted to lead to drastic decreases in low cloud cover, referred to as a climatological...

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

Machine learning (ML) compilers play a key role in enabling high-performance implementations of ML workloads. These compilers use existing CPU and GPU backends to generate device-specific code. In recent years, many tensor accelerators (or AI accelerators) have been designed to f...

Relight: Simple User-Level Checkpointing and Fast-Forward Replay for Distributed Task-Based Systems

Checkpointing, or periodic saving of program state to storage, is the de facto standard technique used to mitigate risks of nondeterministic bugs, hardware faults, and job wall-time limits in long-running programs. Traditional approaches require users to manually manage the migra...

China regional 3 km downscaling based on residual Corrective Diffusion model

A fundamental challenge in numerical weather prediction is efficiently producing high-resolution forecasts. A widely adopted solution is to downscale coarser global model outputs. This study focuses on statistical downscaling, which uses historical data to learn mappings between...

Performant Tridiagonal Factorization of Skew-Symmetric Matrices

Abstract. The factorization of skew-symmetric matrices is a critically understudied area of dense linear algebra, particularly in comparison to that of general and symmetric matrices. While some algorithms can be adapted from the symmetric case, the cost of algorithms can be redu...

Reinforcement learning for initializing genetic algorithms in vehicle routing

Abstract Vehicle routing problems (VRP) are an extension of the Traveling Salesperson Problem and are a fundamental NP-hard challenge in combinatorial optimization. Solving VRP in real-time at large scale has become critical in numerous applications, from growing markets like las...

Experimental Evaluation of Cooling Loop Configurations for Server-Level Direct-to-Chip Liquid Cooling Systems

Abstract Effective heat removal has become a critical challenge in modern data centers as increasing computational demands from artificial intelligence and machine learning push GPUs, CPUs, and network switches toward unprecedented power densities. These heat loads often exceed t...

Closed-form solutions for rigid transformations between heterogeneous groups of noisy geometric primitives

Abstract Computing the transformation between noisy collections of geometric primitives is a classic problem in three-dimensional computer vision and geometric computing. In this paper, we consider minimum sets of noisy objects and provide closed-form formulae to compute the Eucl...