115 citations · 127 across the 6 of their papers we have counts for
7 papers · 1 filter
Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh
Gregor von Laszewski, J. P. Fleischer, Geoffrey C. Fox
In this paper, we summarize our effort to create and utilize a simple framework to coordinate computational analytics tasks with the help of a workflow system. Our design is based…
Data Engineering for HPC with Python
Vibhatha Abeykoon, Niranda Perera, Chathura Widanage +6
Data engineering is becoming an increasingly important part of scientific discoveries with the adoption of deep learning and machine learning. Data engineering deals with a variety…
A Fast, Scalable, Universal Approach For Distributed Data Aggregations
Niranda Perera, Vibhatha Abeykoon, Chathura Widanage +7
In the current era of Big Data, data engineering has transformed into an essential field of study across many branches of science. Advancements in Artificial Intelligence (AI) have…
High Performance Data Engineering Everywhere
Chathura Widanage, Niranda Perera, Vibhatha Abeykoon +7
The amazing advances being made in the fields of machine and deep learning are a highlight of the Big Data era for both enterprise and research communities. Modern applications req…
Parallel Performance of Molecular Dynamics Trajectory Analysis
Mahzad Khoshlessan, Ioannis Paraskevakos, Geoffrey C. Fox +2
The performance of biomolecular molecular dynamics simulations has steadily increased on modern high performance computing resources but acceleration of the analysis of the output…
Learning Everywhere: Pervasive Machine Learning for Effective High-Performance Computation
Geoffrey Fox, James A. Glazier, JCS Kadupitiya +10
The convergence of HPC and data-intensive methodologies provide a promising approach to major performance improvements. This paper provides a general description of the interaction…