Rakesh Sarma

According to our database, Rakesh Sarma authored at least 10 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

itwinai: A Python Toolkit for Scalable Scientific Machine Learning on HPC Systems.

Matteo Bunino, Jarl Sæther, Linus Eickhoff, Anna Lappe, Kalliopi Tsolaki, Killian Verder, Henry Mutegeki, Roman Machacek, Maria Girone, Oleksandr Krochak, Mario Rüttgers, Rakesh Sarma, Andreas Lintermann

J. Open Source Softw., January, 2026

interTwin: Advancing Scientific Digital Twins through AI, Federated Computing and Data.

Andrea Manzi, Raul Bardaji, Ivan Rodero, Germán Moltó, Sandro Fiore, Isabel Campos Plasencia, Donatello Elia, Francesco Sarandrea, A. Paul Millar, Daniele Spiga, Matteo Bunino, Gabriele Accarino, Lorenzo Asprea, Samuel Bernardo, Miguel Caballer, Charis Chatzikyriakou, Diego Ciangottini, Michele Claus, Andrea Cristofori, Davide Donno, Emanuele Donno, Iacopo Ferrario, Massimiliano Fronza, Alexander W. Jacob, Javad Komijani, Marina Krstic Marinkovic, Federica Legger, Ivan Palomo, Estíbaliz Parcero, Rakesh Sarma, Gaurav Sinha Ray, Sara Vallero, Juraj Zvolensky

Future Gener. Comput. Syst., 2026

Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems.

Marcel Aach, Rakesh Sarma, Helmut Neukirchen, Morris Riedel, Andreas Lintermann

Future Gener. Comput. Syst., 2026

Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems.

Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

2024

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization.

Eric Wulff, Juan Pablo García Amboage, Marcel Aach, Thorsteinn Eli Gislason, Thorsteinn Kristinn Ingolfsson, Tomas Kristinn Ingolfsson, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Rakesh Sarma, Maria Girone, Andreas Lintermann

Quantum Mach. Intell., December, 2024

On the choice of physical constraints in artificial neural networks for predicting flow fields.

Rishabh Puri, Junya Onishi, Mario Rüttgers, Rakesh Sarma, Makoto Tsubokura, Andreas Lintermann

Future Gener. Comput. Syst., 2024

2023

Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks.

Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann

J. Big Data, December, 2023

Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision.

Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods.

Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann

Proceedings of the International Conference on Automated Machine Learning, 2023

2015

Multiple Feature Extraction of Electroencephalograph Signal for Motor Imagery Classification through Bispectral Analysis.

Bitopan Das, Mridusmita Talukdar, Rakesh Sarma, Shyamanta M. Hazarika

Proceedings of the Proceeding of the Seventh International Conference on Intelligent Human Computer Interaction, 2015