Aleksandr Mikhalev

According to our database, Aleksandr Mikhalev authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantization of Large Language Models with an Overdetermined Basis.

Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin

CoRR, 2024

LoTR: Low Tensor Rank Weight Adaptation.

Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets

CoRR, 2024

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers.

Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Run LoRA Run: Faster and Lighter LoRA Implementations.

Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets

CoRR, 2023

2022

Memory-Efficient Backpropagation through Large Linear Layers.

Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets

CoRR, 2022

2020

Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications.

Qinglei Cao, Yu Pei, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra

Proceedings of the PASC '20: Platform for Advanced Scientific Computing Conference, Geneva, Switzerland, June 29, 2020

2019

Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools.

Qinglei Cao, Yu Pei, Thomas Hérault, Kadir Akbudak, Aleksandr Mikhalev, George Bosilca, Hatem Ltaief, David E. Keyes, Jack J. Dongarra

Proceedings of the IEEE/ACM International Workshop on Programming and Performance Visualization Tools, 2019

Comparative Studies Between Hydrothermal Carbonation and Torrefaction for Biofuel Production from Poultry Litter.

Rafail Isemin, Aleksandr Mikhalev, Oleg Milovanov, Dmitry Klimov, Natalia Muratova, Kristina Krysanova, Yuri Teplitskii, Anatolii Greben'kov, Vadim Kogh-Tatarenko

Proceedings of the 9th International Conference on Bioscience, 2019

2018

Exploiting Data Sparsity for Large-Scale Matrix Computations.

Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, Ali Charara, Aniello Esposito, David E. Keyes

Proceedings of the Euro-Par 2018: Parallel Processing, 2018

2017

Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectures.

Kadir Akbudak, Hatem Ltaief, Aleksandr Mikhalev, David E. Keyes

Proceedings of the High Performance Computing - 32nd International Conference, 2017