5 citations · 7 across the 5 of their papers we have counts for
5 papers
Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing
Ilkay Altintas, Ismael Perez, Dmitry Mishin +8
Influenced by the advances in data and computing, the scientific practice increasingly involves machine learning and artificial intelligence driven methods which requires specializ…
Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations
Frank Würthwein, Jonathan Guiang, Aashay Arora +10
Unique scientific instruments designed and operated by large global collaborations are expected to produce Exabyte-scale data volumes per year by 2030. These collaborations depend…
Data Transfer and Network Services management for Domain Science Workflows
Tom Lehman, Xi Yang, Chin Guok +10
This paper describes a vision and work in progress to elevate network resources and data transfer management to the same level as compute and storage in the context of services acc…
HTCondor data movement at 100 Gbps
Igor Sfiligoi, Frank Würthwein, Thomas DeFanti +1
HTCondor is a major workload management system used in distributed high throughput computing (dHTC) environments, e.g., the Open Science Grid. One of the distinguishing features of…
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure
Ilkay Altintas, Kyle Marcus, Isaac Nealey +7
The advances in data, computing and networking over the last two decades led to a shift in many application domains that includes machine learning on big data as a part of the scie…