Valerie C Hendrix
Cited by
Cited by
The energy efficiency potential of cloud-based software: A us case study
E Masanet, A Shehabi, L Ramakrishnan, J Liang, X Ma, B Walker, ...
The Energy Efficiency Potential of Cloud-Based Software: A US Case Study, 2013
Global surface net-radiation at 5 km from MODIS Terra
M Verma, JB Fisher, K Mallick, Y Ryu, H Kobayashi, A Guillaume, ...
Remote Sensing 8 (9), 739, 2016
Experiences with user-centered design for the Tigres workflow API
L Ramakrishnan, S Poon, V Hendrix, D Gunter, GZ Pastorello, D Agarwal
2014 IEEE 10th International Conference on e-Science 1, 290-297, 2014
Tigres workflow library: Supporting scientific pipelines on hpc systems
V Hendrix, J Fox, D Ghoshal, L Ramakrishnan
2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016
Scalable analysis of network measurements with Hadoop and Pig
T Samak, D Gunter, V Hendrix
2012 IEEE Network Operations and Management Symposium, 1254-1259, 2012
Scientific Cluster Deployment and Recovery–Using puppet to simplify cluster management
V Hendrix, D Benjamin, Y Yao
Journal of Physics: Conference Series 396 (4), 042027, 2012
Challenges in building an end-to-end system for acquisition, management, and integration of diverse data from sensor networks in watersheds: lessons from a mountainous …
C Varadharajan, DA Agarwal, W Brown, M Burrus, RWH Carroll, ...
IEEE Access 7, 182796-182813, 2019
Launching an accessible archive of environmental data
C Varadharajan, S Cholia, C Snavely, V Hendrix, C Procopiou, ...
Eos 100, 2019
Exploiting virtualization and cloud computing in ATLAS
FHB Megino, D Benjamin, K De, I Gable, V Hendrix, S Panitkin, ...
Journal of Physics: Conference Series 396 (3), 032011, 2012
Sample identifiers and metadata to support data management and reuse in multidisciplinary ecosystem sciences
JE Damerow, C Varadharajan, K Boye, EL Brodie, M Burrus, ...
Data Science Journal 20 (1), 11-11, 2021
A guide to using GitHub for developing and versioning data standards and reporting formats
R Crystal‐Ornelas, C Varadharajan, B Bond‐Lamberty, K Boye, M Burrus, ...
Earth and Space Science 8 (8), e2021EA001797, 2021
Integrated multi-scale data analytics and machine learning for the distribution grid and building-to-grid interface
EM Stewart, V Hendrix, M Chertkov, D Deka
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2017
Combining workflow templates with a shared space-based execution model
JR Balderrama, M Simonin, L Ramakrishnan, V Hendrix, C Morin, ...
2014 9th Workshop on Workflows in Support of Large-Scale Science, 50-58, 2014
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality?
C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ...
Hydrological Processes 36 (4), e14565, 2022
The Colorado East River community observatory data collection
Z Kakalia, C Varadharajan, E Alper, EL Brodie, M Burrus, RWH Carroll, ...
Hydrological Processes 35 (6), e14243, 2021
A metadata reporting framework (FRAMES) for synthesis of ecohydrological observations
DS Christianson, C Varadharajan, B Christoffersen, M Detto, ...
Ecological informatics 42, 148-158, 2017
Camp: Community access MODIS pipeline
V Hendrix, L Ramakrishnan, Y Ryu, C van Ingen, KR Jackson, D Agarwal
Future Generation Computer Systems 36, 418-429, 2014
S Panitkin, FB Megino, JC Bejar, D Benjamin, A Di Girolamo, I Gable, ...
Journal of Physics: Conference Series 513 (6), 062037, 2014
Stream temperature predictions for river basin management in the Pacific Northwest and mid-Atlantic regions using machine learning
H Weierbach, AR Lima, JD Willard, VC Hendrix, DS Christianson, ...
Water 14 (7), 1032, 2022
Spin: a docker-based platform for deploying science gateways at NERSC
C Snavely, G Alvarez, V Hendrix, S Cholia, S Lasiewski
Proc. Gateways, 2018
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