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Gregor von Laszewski
Gregor von Laszewski
Verified email at virginia.edu - Homepage
Title
Cited by
Year
Supercharging distributed computing environments for high-performance data engineering
N Perera, AK Sarker, K Shan, A Fetea, S Kamburugamuve, TA Kanewala, ...
Frontiers in High Performance Computing 2, 1384619, 2024
32024
Radical-Cylon: A Heterogeneous Data Pipeline for Scientific Computing
AK Sarker, A Alsaadi, N Perera, M Staylor, G von Laszewski, M Turilli, ...
arXiv preprint arXiv:2403.15721, 2024
12024
MLCommons Cloud Masking Benchmark with Early Stopping
V Chennamsetti, G von Laszewski, R Gu, L Mehnaz, J Papay, S Jackson, ...
arXiv preprint arXiv:2401.08636, 2023
2023
An Overview of MLCommons Cloud Mask Benchmark: Related Research and Data
G von Laszewski, R Gu
arXiv preprint arXiv:2312.04799, 2023
2023
In-depth analysis on parallel processing patterns for high-performance Dataframes
N Perera, AK Sarker, M Staylor, G von Laszewski, K Shan, ...
Future Generation Computer Systems 149, 250-264, 2023
32023
Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework
G von Laszewski, W Chang, R Reinsch, O Kotevska, A Karimi, AR Sattar, ...
arXiv preprint arXiv:2310.17013, 2023
2023
Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts
G von Laszewski, JP Fleischer, R Knuuti, GC Fox, J Kolessar, TS Butler, ...
Frontiers in High Performance Computing 1, 1233877, 2023
2023
Templated hybrid reusable computational analytics workflow management with cloudmesh, applied to the deep learning mlcommons cloudmask application
G von Laszewski, JP Fleischer, GC Fox, J Papay, S Jackson, ...
2023 IEEE 19th International Conference on e-Science (e-Science), 1-6, 2023
12023
Hybrid reusable computational analytics workflow management with cloudmesh
G von Laszewski, JP Fleischer, GC Fox
arXiv preprint arXiv:2210.16941, 2022
22022
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
182022
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
142022
Time series analysis of blockchain-based cryptocurrency price changes
J Fleischer, G Von Laszewski, C Theran, YJP Bautista
arXiv preprint arXiv:2202.13874, 2022
52022
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
22022
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
62021
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
12021
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
22021
Comprehensive Evaluation of XSEDE’s Scientific Impact using Semantic Scholar Data
F Wang, G von Laszewski, GC Fox
2021
Aicov: An integrative deep learning framework for covid-19 forecasting with population covariates
GC Fox, G von Laszewski, F Wang, S Pyne
arXiv preprint arXiv:2010.03757, 2020
72020
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
142020
Using 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, ...
Technical report, 2020
32020
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