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ORCIDAmir Raoofy
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2020 – today
- 2026
[c23]Ahmad Moh'd Saleh A. Belbeisi
, Majid Salimi Beni, Thomas Erbesdobler, Ehab Saleh, Matthew Tovey, Amir Raoofy, Josef Weidendorfer:
Simulating MPI Collectives on Tofino Smart Switches in SimGrid. CF 2026: 118-121- [c22]Ehab Saleh, Amir Raoofy, Robert Mijakovic, Ahmad Moh'd Saleh A. Belbeisi, Josef Weidendorfer:
A Dedicated CPU Core for MPI Progress: Towards Improved Overlap in Non-Blocking Two-Sided Communication. ISPDC 2026: 1-10 - 2025
- [c21]Ehab Saleh, Amir Raoofy, Josef Weidendorfer:
Progressing Non-blocking Two-Sided Communication Using BlueField DPUs. ARCS 2025: 3-17 - [c20]Jakob Schäffeler, Bengisu Elis, Amir Raoofy, Josef Weidendorfer, Martin Schulz:
POSTER: Performance Comparison of GPU Programming Models Using HeCBench Benchmarks. CF 2025: 226-227 - [c19]Josef Weidendorfer, Lukas Neef, Robert Hubinger, Amir Raoofy:
Data Transfer Schemes in the High-Level Communication Library LAIK. IPDPS (Workshops) 2025: 187-196 - [c18]Daniel Coleridge, Ehab Saleh, Amir Raoofy, Josef Weidendorfer:
Performance Comparison of MPI Collectives in Various Offloading Modes. 2025: 9-16 - [c17]Ahmad Moh'd Saleh A. Belbeisi, Ehab Saleh, Amir Raoofy, Josef Weidendorfer:
Modeling NUMA Architectures as Distributed Systems for Energy Prediction of MPI Applications Using SimGrid. 2025: 84-88 - [c16]Minh Chung, Yaknan John Gambo, Burak Mete, Xiao-Ting Michelle To, Florian Krötz, Korbinian Staudacher, Martín Letras, Xiaolong Deng, Mounika Vavilala, Amir Raoofy, Jorge Echavarria, Luigi Iapichino, Laura Brandon Schulz, Josef Weidendorfer, Martin Schulz:
Q-BEAST: A Practical Course on Experimental Evaluation and Characterization of Quantum Computing Systems. QCE 2025: 96-105 - [c15]Thomas Erbesdobler, Amir Raoofy, Ehab Saleh, Josef Weidendorfer:
MPI Collectives with Programmable Smart Switches. SC Workshops 2025: 468-478 - [c14]Amir Raoofy:
Reproducibility Report for SC25 Paper KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU. SC 2025: 2309-2310 - [c13]Arjun Parab, Amir Raoofy, Josef Weidendorfer:
Dynamic Resource Management Framework for Elastic Computing. ISC High Performance 2025: 351-362 - [c12]Arjun Parab, Amir Raoofy, Leon Spörl, Stefan Dimitrov, Matthew Tovey, Josef Weidendorfer:
AutoBench: A Holistic Platform for Automated and Reproducible Benchmarking in HPC Testbeds. ICPE (Companion) 2025: 207-214 - [i2]Minh Chung, Yaknan John Gambo, Burak Mete, Xiao-Ting Michelle To, Florian Krötz, Korbinian Staudacher, Martín Letras, Xiaolong Deng, Mounika Vavilala, Amir Raoofy, Jorge Echavarria, Luigi Iapichino, Laura Brandon Schulz, Josef Weidendorfer, Martin Schulz:
Q-BEAST: A Practical Course on Experimental Evaluation and Characterization of Quantum Computing Systems. CoRR abs/2508.14084 (2025) - 2024
- [b1]Amir Raoofy:
Time Series Mining on High Performance Computing Systems. Technical University of Munich, Germany, 2024 - [c11]Jakob Schäffeler, Bengisu Elis, Amir Raoofy, Josef Weidendorfer, Martin Schulz:
A Portable Tool to Compare Performance Profiles from GPU Offloading Programming Models. CF 2024 - 2023
- [c10]Julian Scheipl, Amir Raoofy, Michael Ott, Josef Weidendorfer:
Phase-aware System-Side Sampling for HPC. CF 2023: 220-221 - [c9]Andreas Koch, Michael Petry, Max Ghiglione, Amir Raoofy, Gabriel Dax, Gianluca Furano, Martin Werner, Carsten Trinitis, Martin Langer:
Machine Learning Application Benchmark. CF 2023: 229-235 - [c8]Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. SC Workshops 2023: 1876-1880 - [c7]Amir Raoofy, Roman Karlstetter, Martin Schreiber, Carsten Trinitis, Martin Schulz:
Overcoming Weak Scaling Challenges in Tree-Based Nearest Neighbor Time Series Mining. ISC High Performance 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, Amir Raoofy, Dai Yang, Erwin Laure, Martin Schulz:
Exploiting Reduced Precision for GPU-based Time Series Mining. IPDPS 2022: 124-134 - 2021
- [c3]Roman Karlstetter, Amir Raoofy, Martin Radev, Carsten Trinitis, Jakob Hermann, Martin Schulz:
Living on the Edge: Efficient Handling of Large Scale Sensor Data. CCGRID 2021: 1-10 - 2020
- [c2]Amir Raoofy, Roman Karlstetter, Dai Yang, Carsten Trinitis, Martin Schulz:
Time Series Mining at Petascale Performance. ISC High Performance 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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