Rakesh Sarma

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 — conf
Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems.
SCA/HPC Asia Workshops
Fabian Orland, Tom Hilgers, Fabian Hübenthal, Rakesh Sarma, Andreas Lintermann, Christian Terboven
2026 J jnl
Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems.
Future Gener. Comput. Syst.
Marcel Aach, Rakesh Sarma, Helmut Neukirchen, Morris Riedel, Andreas Lintermann
2026 J jnl
interTwin: Advancing Scientific Digital Twins through AI, Federated Computing and Data.
Future Gener. Comput. Syst.
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
2026 J jnl
itwinai: A Python Toolkit for Scalable Scientific Machine Learning on HPC Systems.
J. Open Source Softw.
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
2024 J jnl
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization.
Quantum Mach. Intell.
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
2024 J jnl
On the choice of physical constraints in artificial neural networks for predicting flow fields.
Future Gener. Comput. Syst.
Rishabh Puri, Junya Onishi, Mario Rüttgers, Rakesh Sarma, Makoto Tsubokura, Andreas Lintermann
2024 J jnl
Resource-Adaptive Successive Doubling for Hyperparameter Optimization with Large Datasets on High-Performance Computing Systems.
CoRR
Marcel Aach, Rakesh Sarma, Helmut Neukirchen, Morris Riedel, Andreas Lintermann
2023 J jnl
Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks.
J. Big Data
Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann
2023 — conf
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods.
AutoML
Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann
2023 — conf
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision.
SC Workshops
Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann
2015 — conf
Multiple Feature Extraction of Electroencephalograph Signal for Motor Imagery Classification through Bispectral Analysis.
IHCI
Bitopan Das, Mridusmita Talukdar, Rakesh Sarma, Shyamanta M. Hazarika