research
∙
11/28/2021
Neural Symplectic Integrator with Hamiltonian Inductive Bias for the Gravitational N-body Problem
The gravitational N-body problem, which is fundamentally important in as...
share
research
∙
07/25/2021
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization – Extended Technical Report
Improving datacenter operations is vital for the digital society. We pos...
research
∙
05/05/2020
Predicting atmospheric optical properties for radiative transfer computations using neural networks
The radiative transfer equations are well-known, but radiation parametri...
research
∙
03/30/2020
Deep-learning enhancement of large scale numerical simulations
Traditional simulations on High-Performance Computing (HPC) systems typi...
research
∙
05/10/2019
Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation
Neural machine translation - using neural networks to translate human la...
research
∙
11/12/2017
