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ORCIDAleksandr Mikhalev
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Conference and Workshop Papers
- 2024
[c6]Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets:
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. EMNLP 2024: 14929-14939- 2020
- [c5]Qinglei Cao
, Yu Pei, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra:
Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications. PASC 2020: 2:1-2:11 - 2019
- [c4]Rafail Isemin, Aleksandr Mikhalev, Oleg Milovanov, Dmitry Klimov, Natalia Muratova, Kristina Krysanova, Yuri Teplitskii, Anatolii Greben'kov, Vadim Kogh-Tatarenko:
Comparative Studies Between Hydrothermal Carbonation and Torrefaction for Biofuel Production from Poultry Litter. ICBBB 2019: 97-101 - [c3]Qinglei Cao, Yu Pei, Thomas Hérault, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra:
Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools. ProTools@SC 2019: 25-32 - 2018
- [c2]Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, Ali Charara, Aniello Esposito, David E. Keyes:
Exploiting Data Sparsity for Large-Scale Matrix Computations. Euro-Par 2018: 721-734 - 2017
- [c1]Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, David E. Keyes:
Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures. ISC 2017: 22-40
Informal and Other Publications
- 2024
- [i4]Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets:
LoTR: Low Tensor Rank Weight Adaptation. CoRR abs/2402.01376 (2024) - [i3]Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin:
Quantization of Large Language Models with an Overdetermined Basis. CoRR abs/2404.09737 (2024) - 2023
- [i2]Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets:
Run LoRA Run: Faster and Lighter LoRA Implementations. CoRR abs/2312.03415 (2023) - 2022
- [i1]Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets:
Memory-Efficient Backpropagation through Large Linear Layers. CoRR abs/2201.13195 (2022)
Coauthor Index
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