313 citations · 1.8k across the 50 of their papers we have counts for
8 papers · 1 filter
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…
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…
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis
Sunwoo Lee, Kai-yuan Hou, Kewei Wang +8
In High Energy Physics (HEP), experimentalists generate large volumes of data that, when analyzed, helps us better understand the fundamental particles and their interactions. This…
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…
HEPCloud, an Elastic Hybrid HEP Facility using an Intelligent Decision Support System
Parag Mhashilkar, Mine Altunay, Eileen Berman +14
HEPCloud is rapidly becoming the primary system for provisioning compute resources for all Fermilab-affiliated experiments. In order to reliably meet the peak demands of the next g…