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 | 21 | 2022 |
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 | 13 | 2020 |
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 | 12 | 2022 |
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 | 3 | 2019 |
Memcachedb persistent implementation using leveldb GW Poerwawinata, AI Kistijantoro 2015 International Conference on Electrical Engineering and Informatics …, 2015 | 3 | 2015 |
Visualization of Semantically Meaningful Representations of Large Multi-dimensional Time Series on Supercomputers G Poerwawinata | | 2020 |