Articles with public access mandates - Gregor von LaszewskiLearn more
Not available anywhere: 1
Futuregrid: a reconfigurable testbed for cloud, hpc, and grid computing
GC Fox, G von Laszewski, J Diaz, K Keahey, J Fortes, R Figueiredo, ...
Contemporary High Performance Computing, 603-635, 2017
Mandates: US National Science Foundation, US Department of Energy
Available somewhere: 15
Time series analysis of cryptocurrency prices using long short-term memory
JP Fleischer, G von Laszewski, C Theran, YJ Parra Bautista
Algorithms 15 (7), 230, 2022
Mandates: US National Science Foundation
Comet: Tales from the long tail: Two years in and 10,000 users later
SM Strande, H Cai, T Cooper, K Flammer, C Irving, G von Laszewski, ...
Proceedings of the practice and experience in advanced research computing …, 2017
Mandates: US National Science Foundation
AI benchmarking for science: Efforts from the MLCommons science working group
J Thiyagalingam, G von Laszewski, J Yin, M Emani, J Papay, G Barrett, ...
International Conference on High Performance Computing, 47-64, 2022
Mandates: US National Science Foundation, US Department of Energy, UK Engineering and …
net. science: A cyberinfrastructure for sustained innovation in network science and engineering
N Ahmed, R Alo, C Amelink, YY Baek, A Chudhary, K Collins, A Esterline, ...
Gateways Conference 2020, 2020
Mandates: US National Science Foundation
Streaming machine learning algorithms with big data systems
V Abeykoon, S Kamburugamuve, K Govindrarajan, P Wickramasinghe, ...
2019 IEEE International Conference on Big Data (Big Data), 5661-5666, 2019
Mandates: US National Science Foundation
Contributions to high-performance big data computing
G Fox, J Qiu, D Crandall, G Von Laszewski, O Beckstein, J Paden, ...
Future Trends of HPC in a Disruptive Scenario, 34-81, 2019
Mandates: US National Science Foundation
User managed virtual clusters in comet
R Wagner, P Papadopoulos, D Mishin, T Cooper, M Tatineti, ...
Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at …, 2016
Mandates: US National Science Foundation
Hptmt: Operator-based architecture for scalable high-performance data-intensive frameworks
S Kamburugamuve, C Widanage, N Perera, V Abeykoon, A Uyar, ...
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 228-239, 2021
Mandates: US National Science Foundation
Contributions to High-Performance big data computing
O Beckstein, G Fox, J Qiu, D Crandall, G von Laszewski, J Paden, S Jha, ...
Technical report, Digital Science Center, 2018
Mandates: US National Science Foundation
HPTMT Parallel Operators for High Performance Data Science and Data Engineering
V Abeykoon, S Kamburugamuve, C Widanage, N Perera, A Uyar, ...
Frontiers in big Data 4, 756041, 2022
Mandates: US National Science Foundation
Using cloudmesh gas for speedy generation of hybrid multi-cloud auto generated ai services
G von Laszewski, A Orlowski, RH Otten, R Markowitz, S Gandhi, A Chai, ...
2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021
Mandates: US National Science Foundation
Evaluating the Scientific Impact of XSEDE
F Wang, G Laszewski, T Whitson, GC Fox, TR Furlani, RL DeLeon, ...
Proceedings of the Practice and Experience on Advanced Research Computing, 1-8, 2018
Mandates: US National Science Foundation
Comprehensive Evaluation of XSEDE’s Scientific Impact Using Semantic Scholar Data
G von Laszewski, F Wang, GC Fox
Practice and Experience in Advanced Research Computing, 1-4, 2021
Mandates: US National Science Foundation
Comprehensive Evaluation of XSEDE’s Scientific Impact using Semantic Scholar Data
F Wang, G von Laszewski, GC Fox
Mandates: US National Science Foundation
Human in the Loop Virtual Machine Management on Comet
G von Laszewski, F Wang, GC Fox, S Strande, C Irving, T Cooper, ...
Proceedings of the Humans in the Loop: Enabling and Facilitating Research on …, 2019
Mandates: US National Science Foundation
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