Ismael Boureima

17 papers C 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Tensor-train WENO scheme for compressible flows. J. Comput. Phys. Mustafa Engin Danis, Duc P. Truong, Ismael Boureima, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	—	`conf`	Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. HPEC Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024	J	`jnl`	Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov
2024	J	`jnl`	Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2024	J	`jnl`	Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2024	J	`jnl`	Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation. CoRR Manish Bhattarai, Minh Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley
2024	J	`jnl`	HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. CoRR 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
2024	C	`conf`	Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. ICMLA Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. CoRR Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai
2024	J	`jnl`	Tensor networks for solving the time-independent Boltzmann neutron transport equation. J. Comput. Phys. Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
2024	J	`jnl`	Tensor-Train WENO Scheme for Compressible Flows. CoRR Mustafa Engin Danis, Duc P. Truong, Ismael Boureima, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov
2023	J	`jnl`	Distributed non-negative RESCAL with automatic model selection for exascale data. J. Parallel Distributed Comput. Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov
2023	J	`jnl`	Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation. CoRR Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov
2022	J	`jnl`	Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov
2022	—	`conf`	Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
2022	J	`jnl`	Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov
2022	J	`jnl`	Dynamic calibration of differential equations using machine learning, with application to turbulence models. J. Comput. Phys. Ismael Boureima, Vitaliy Gyrya, Juan A. Saenz, Susan Kurien, Marianne M. Francois