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Amir Raoofy
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2020 – today
- 2024
- [c11]Jakob Schäffeler
, Bengisu Elis
A Portable Tool to Compare Performance Profiles from GPU Offloading Programming Models. CF 2024 - 2023
- [c10]Julian Scheipl
Phase-aware System-Side Sampling for HPC. CF 2023: 220-221 - [c9]Andreas Koch
Machine Learning Application Benchmark. CF 2023: 229-235 - [c8]Mohak Chadha
Sustainability in HPC: Vision and Opportunities. SC Workshops 2023: 1876-1880 - [c7]Amir Raoofy, Roman Karlstetter
Overcoming Weak Scaling Challenges in Tree-Based Nearest Neighbor Time Series Mining. ISC 2023: 317-338 - [i1]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz
Sustainability in HPC: Vision and Opportunities. CoRR abs/2309.13473 (2023) - 2022
- [c6]Amir Raoofy, Josef Weidendorfer, Michael Ott:
Always-on instrumentation for application introspection in HPC. CF 2022: 195-196 - [c5]Amir Raoofy, Gabriel Dax, Vittorio Serra, Max Ghiglione, Martin Werner, Carsten Trinitis:
Benchmarking and feasibility aspects of machine learning in space systems. CF 2022: 225-226 - [c4]Yi Ju
Exploiting Reduced Precision for GPU-based Time Series Mining. IPDPS 2022: 124-134 - 2021
- [c3]Roman Karlstetter
Living on the Edge: Efficient Handling of Large Scale Sensor Data. CCGRID 2021: 1-10 - 2020
- [c2]Amir Raoofy, Roman Karlstetter
Time Series Mining at Petascale Performance. ISC 2020: 104-123
2010 – 2019
- 2016
- [c1]Arash Bakhtiari, Dhairya Malhotra, Amir Raoofy, Miriam Mehl, Hans-Joachim Bungartz, George Biros:
A parallel arbitrary-order accurate AMR algorithm for the scalar advection-diffusion equation. SC 2016: 514-525
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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