1 citations · 1 across the 5 of their papers we have counts for
5 papers
ZEUS: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation
Dominik Soos, Marc Paterno, Desh Ranjan +1
We introduce a novel, efficient computational method, ZEUS, for numerical optimization, and provide an open-source implementation. It has four key ingredients: (1) particle swarm o…
An AD based library for Efficient Hessian and Hessian-Vector Product Computation on GPU
Desh Ranjan, Mohammad Zubair
The Hessian-vector product computation appears in many scientific applications such as in optimization and finite element modeling. Often there is a need for computing Hessian-vect…
Porting numerical integration codes from CUDA to oneAPI: a case study
Ioannis Sakiotis, Kamesh Arumugam, Marc Paterno +3
We present our experience in porting optimized CUDA implementations to oneAPI. We focus on the use case of numerical integration, particularly the CUDA implementations of PAGANI an…
m-CUBES An efficient and portable implementation of multi-dimensional integration for gpus
Ioannis Sakiotis, Kamesh Arumugam, Marc Paterno +3
The task of multi-dimensional numerical integration is frequently encountered in physics and other scientific fields, e.g., in modeling the effects of systematic uncertainties in p…
PAGANI: A Parallel Adaptive GPU Algorithm for Numerical
Ioannis Sakiotis, Kamesh Arumugam, Marc Paterno +3
We present a new adaptive parallel algorithm for the challenging problem of multi-dimensional numerical integration on massively parallel architectures. Adaptive algorithms have de…