7 citations · 7 across the 1 of their papers we have counts for
6 papers
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform
Kyle Chard, Niall Gaffney, Mihael Hategan +9
Whole Tale http://wholetale.org is a web-based, open-source platform for reproducible research supporting the creation, sharing, execution, and verification of "Tales" for the scie…
A data-driven method for quantifying the impact of a genetic circuit on its host
Aqib Hasnain, Subhrajit Sinha, Yuval Dorfan +12
Genetic circuits are designed to implement certain logic in living cells, keeping burden on the host cell minimal. However, manipulating the genome often will have a significant im…
The demise of the filesystem and multi level service architecture
William O'Mullane, Niall Gaffney, Frossie Economou +3
Many astronomy data centres still work on filesystems. Industry has moved on; current practice in computing infrastructure is to achieve Big Data scalability using object stores ra…
Petabytes to Science
Amanda E. Bauer, Eric C. Bellm, Adam S. Bolton +24
A Kavli foundation sponsored workshop on the theme \emph{Petabytes to Science} was held 12 to 14 of February 2019 in Las Vegas. The aim of the this workshop was to di…
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning
Zhao Zhang, Lei Huang, Uri Manor +5
Emerging Deep Learning (DL) applications introduce heavy I/O workloads on computer clusters. The inherent long lasting, repeated, and random file access pattern can easily saturate…
Computing Environments for Reproducibility: Capturing the "Whole Tale"
Adam Brinckman, Kyle Chard, Niall Gaffney +11
The act of sharing scientific knowledge is rapidly evolving away from traditional articles and presentations to the delivery of executable objects that integrate the data and compu…