Ismael Boureima

According to our database, Ismael Boureima authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

Tensor-train WENO scheme for compressible flows.

Mustafa Engin Danis, Duc P. Truong, Ismael Boureima, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov

J. Comput. Phys., 2025

2024

Correction to: Distributed out-of-memory NMF on CPU/GPU architectures.

Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov

J. Supercomput., March, 2024

Distributed out-of-memory NMF on CPU/GPU architectures.

Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov

J. Supercomput., February, 2024

Tensor networks for solving the time-independent Boltzmann neutron transport equation.

Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov

J. Comput. Phys., 2024

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation.

Manish Bhattarai, Minh Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley

CoRR, 2024

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning.

Manish Bhattarai, Ryan Barron, Maksim Ekin Eren, Minh Vu, Ves Grantcharov, Ismael Boureima, Valentin G. Stanev, Cynthia Matuszek, Vladimir I. Valtchinov, Kim Ø. Rasmussen, Boian S. Alexandrov

CoRR, 2024

Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs.

Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai

Proceedings of the International Conference on Machine Learning and Applications, 2024

Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection.

Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov

Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

2023

Distributed non-negative RESCAL with automatic model selection for exascale data.

Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov

J. Parallel Distributed Comput., September, 2023

Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation.

Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov

CoRR, 2023

2022

Dynamic calibration of differential equations using machine learning, with application to turbulence models.

Ismael Boureima, Vitaliy Gyrya, Juan A. Saenz, Susan Kurien, Marianne M. Francois

J. Comput. Phys., 2022

Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data.

Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov

CoRR, 2022

Distributed Out-of-Memory SVD on CPU/GPU Architectures.

Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022