Aleksandr Mikhalev

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Robust Principal Component Analysis

Singular Value Decomposition

Weather Prediction

Top Venues

Publications

Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets
LoTR: Low Tensor Rank Weight Adaptation. CoRR (2024)
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 (2024)
Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets
Run LoRA Run: Faster and Lighter LoRA Implementations. CoRR (2023)
Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets
Memory-Efficient Backpropagation through Large Linear Layers. CoRR (2022)
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)
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)
Quinglei Cao, Yu Pei, Thomas Herauldt, 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)
Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, Ali Charara, Aniello Esposito, David E. Keyes
Exploiting Data Sparsity for Large-Scale Matrix Computations. Euro-Par (2018)
Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, David E. Keyes
Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures. ISC (2017)