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ORCIDIsmael Boureima
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2020 – today
- 2024
[j5]Duc P. Truong
, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov:
Tensor networks for solving the time-independent Boltzmann neutron transport equation. J. Comput. Phys. 507: 112943 (2024)- [j4]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov:
Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80(3): 3970-3999 (2024) - [j3]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov:
Correction to: Distributed out-of-memory NMF on CPU/GPU architectures. J. Supercomput. 80(4): 5731-5732 (2024) - [i8]Mustafa Engin Danis, Duc P. Truong, Ismael Boureima, Oleg Korobkin, Kim Ø. Rasmussen, Boian S. Alexandrov:
Tensor-Train WENO Scheme for Compressible Flows. CoRR abs/2405.12301 (2024) - [i7]Ryan Barron, Maksim Ekin Eren, Manish Bhattarai, Ismael Boureima, Cynthia Matuszek, Boian S. Alexandrov:
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection. CoRR abs/2407.19125 (2024) - [i6]Afia Anjum, Maksim Ekin Eren, Ismael Boureima, Boian S. Alexandrov, Manish Bhattarai:
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs. CoRR abs/2408.01008 (2024) - [i5]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:
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning. CoRR abs/2412.04661 (2024) - [i4]Manish Bhattarai, Minh Vu, Javier E. Santos, Ismael Boureima, Daniel O'Malley:
Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation. CoRR abs/2412.05159 (2024) - 2023
- [j2]Manish Bhattarai, Namita Kharat, Ismael Boureima, Erik Skau, Benjamin T. Nebgen, Hristo N. Djidjev, Sanjay V. Rajopadhye, James P. Smith, Boian S. Alexandrov:
Distributed non-negative RESCAL with automatic model selection for exascale data. J. Parallel Distributed Comput. 179: 104709 (2023) - [i3]Duc P. Truong, Mario I. Ortega, Ismael Boureima, Gianmarco Manzini, Kim Ø. Rasmussen, Boian S. Alexandrov:
Tensor Networks for Solving Realistic Time-independent Boltzmann Neutron Transport Equation. CoRR abs/2309.03347 (2023) - 2022
- [j1]Ismael Boureima, Vitaliy Gyrya, Juan A. Saenz, Susan Kurien, Marianne M. Francois:
Dynamic calibration of differential equations using machine learning, with application to turbulence models. J. Comput. Phys. 457: 110924 (2022) - [c1]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov:
Distributed Out-of-Memory SVD on CPU/GPU Architectures. HPEC 2022: 1-8 - [i2]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Erik Skau, Philip Romero, Stephan J. Eidenbenz, Boian S. Alexandrov:
Distributed Out-of-Memory NMF of Dense and Sparse Data on CPU/GPU Architectures with Automatic Model Selection for Exascale Data. CoRR abs/2202.09518 (2022) - [i1]Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov:
Distributed Out-of-Memory SVD on CPU/GPU Architectures. CoRR abs/2208.08410 (2022)
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