activity
20022023
most citedAn Efficient K-means Clustering Algorithm for Analysing COVID-19

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2023★ 1 cited

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…

cs.DC2022

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…

cs.DC2021

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…

cs.LG2020★ 1 cited

An Efficient K-means Clustering Algorithm for Analysing COVID-19

Md. Zubair, MD. Asif Iqbal, Avijeet Shil +3

COVID-19 hits the world like a storm by arising pandemic situations for most of the countries around the world. The whole world is trying to overcome this pandemic situation. A bet…

cs.DL2002

A Scalable Architecture for Harvest-Based Digital Libraries - The ODU/Southampton Experiments

Xiaoming Liu, Tim Brody, Stevan Harnad +4

This paper discusses the requirements of current and emerging applications based on the Open Archives Initiative (OAI) and emphasizes the need for a common infrastructure to suppor…