Aleksandr Mikhalev

13 papers A* 1A 1C 1Journal 5Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node.
CoRR
Aleksandr Mikhalev, Aleksandr Katrutsa, Konstantin Sozykin, Ivan V. Oseledets
2025 — conf
Run LoRA Run: Faster and Lighter LoRA Implementations.
ACL (6)
Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets
2024 J jnl
LoTR: Low Tensor Rank Weight Adaptation.
CoRR
Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets
2024 A conf
Quantization of Large Language Models with an Overdetermined Basis.
UAI
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2024 J jnl
Quantization of Large Language Models with an Overdetermined Basis.
CoRR
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2024 A* conf
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers.
EMNLP
Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets
2023 J jnl
Run LoRA Run: Faster and Lighter LoRA Implementations.
CoRR
Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets
2022 J jnl
Memory-Efficient Backpropagation through Large Linear Layers.
CoRR
Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets
2020 — conf
Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications.
PASC
Qinglei Cao, Yu Pei, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra
2019 — conf
Comparative Studies Between Hydrothermal Carbonation and Torrefaction for Biofuel Production from Poultry Litter.
ICBBB
Rafail Isemin, Aleksandr Mikhalev, Oleg Milovanov, Dmitry Klimov, Natalia Muratova, Kristina Krysanova, Yuri Teplitskii, Anatolii Greben'kov, Vadim Kogh-Tatarenko
2019 — conf
Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools.
ProTools@SC
Qinglei Cao, Yu Pei, Thomas Hérault, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra
2018 — conf
Exploiting Data Sparsity for Large-Scale Matrix Computations.
Euro-Par
Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, Ali Charara, Aniello Esposito, David E. Keyes
2017 C conf
Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures.
ISC
Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, David E. Keyes