research
∙
05/16/2023
Accelerating Communications in Federated Applications with Transparent Object Proxies
Advances in networks, accelerators, and cloud services encourage program...
share
research
∙
04/06/2023
Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery
Causal discovery of genome-scale networks is important for identifying p...
research
∙
03/31/2023
Workflows Community Summit 2022: A Roadmap Revolution
Scientific workflows have become integral tools in broad scientific comp...
research
∙
03/15/2023
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Applications that fuse machine learning and simulation can benefit from ...
research
∙
07/04/2022
Sea: A lightweight data-placement library for Big Data scientific computing
The recent influx of open scientific data has contributed to the transit...
research
∙
08/24/2021
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows
To support the growing demands of neuroscience applications, researchers...
research
∙
01/05/2021
Modeling the Linux page cache for accurate simulation of data-intensive applications
The emergence of Big Data in recent years has resulted in a growing need...
research
∙
12/26/2019
Performance benefits of Intel(R) OptaneTM DC persistent memory for the parallel processing of large neuroimaging data
Open-access neuroimaging datasets have reached petabyte scale, and conti...
research
∙
07/30/2019
A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
In the past few years, neuroimaging has entered the Big Data era due to ...
research
∙
05/29/2019
Evaluation of pilot jobs for Apache Spark applications on HPC clusters
Big Data has become prominent throughout many scientific fields and, as ...
research
∙
12/16/2018
Performance Evaluation of Big Data Processing Strategies for Neuroimaging
Neuroimaging datasets are rapidly growing in size as a result of advance...
research
∙
11/08/2017