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Gabrielle Poerwawinata
Gabrielle Poerwawinata
Unknown affiliation
Verified email at uva.nl
Title
Cited by
Cited by
Year
Daphne: An open and extensible system infrastructure for integrated data analysis pipelines
P Damme, M Birkenbach, C Bitsakos, M Boehm, P Bonnet, F Ciorba, ...
Conference on Innovative Data Systems Research, 2022
212022
Towards a predictive energy model for HPC runtime systems using supervised learning
G Ozer, S Garg, N Davoudi, G Poerwawinata, M Maiterth, A Netti, D Tafani
Euro-Par 2019: Parallel Processing Workshops: Euro-Par 2019 International …, 2020
132020
A survey of big data, high performance computing, and machine learning benchmarks
N Ihde, P Marten, A Eleliemy, G Poerwawinata, P Silva, I Tolovski, ...
Performance Evaluation and Benchmarking: 13th TPC Technology Conference …, 2022
122022
Energy-efficient runtime in HPC systems with machine learning
G Ozer, S Garg, G Poerwawinata, N Davoudi, MDT LRZ, M Maiterth, ...
Technical University of Munich, Data Innovation Lab, 2019
32019
Memcachedb persistent implementation using leveldb
GW Poerwawinata, AI Kistijantoro
2015 International Conference on Electrical Engineering and Informatics …, 2015
32015
Visualization of Semantically Meaningful Representations of Large Multi-dimensional Time Series on Supercomputers
G Poerwawinata
2020
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Articles 1–6