3 Publications

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[3]
2023 | Journal Article | IST-REx-ID: 12330 | OA
V. Aksenov, D.-A. Alistarh, A. Drozdova, and A. Mohtashami, “The splay-list: A distribution-adaptive concurrent skip-list,” Distributed Computing, vol. 36. Springer Nature, pp. 395–418, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Journal Article | IST-REx-ID: 9571 | OA
A. Ramezani-Kebrya, F. Faghri, I. Markov, V. Aksenov, D.-A. Alistarh, and D. M. Roy, “NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization,” Journal of Machine Learning Research, vol. 22, no. 114. Journal of Machine Learning Research, p. 1−43, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2019 | Journal Article | IST-REx-ID: 7214 | OA
S. Aganezov, I. Zban, V. Aksenov, N. Alexeev, and M. C. Schatz, “Recovering rearranged cancer chromosomes from karyotype graphs,” BMC Bioinformatics, vol. 20. BMC, 2019.
[Published Version] View | Files available | DOI | WoS
 

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3 Publications

Mark all

[3]
2023 | Journal Article | IST-REx-ID: 12330 | OA
V. Aksenov, D.-A. Alistarh, A. Drozdova, and A. Mohtashami, “The splay-list: A distribution-adaptive concurrent skip-list,” Distributed Computing, vol. 36. Springer Nature, pp. 395–418, 2023.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[2]
2021 | Journal Article | IST-REx-ID: 9571 | OA
A. Ramezani-Kebrya, F. Faghri, I. Markov, V. Aksenov, D.-A. Alistarh, and D. M. Roy, “NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization,” Journal of Machine Learning Research, vol. 22, no. 114. Journal of Machine Learning Research, p. 1−43, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[1]
2019 | Journal Article | IST-REx-ID: 7214 | OA
S. Aganezov, I. Zban, V. Aksenov, N. Alexeev, and M. C. Schatz, “Recovering rearranged cancer chromosomes from karyotype graphs,” BMC Bioinformatics, vol. 20. BMC, 2019.
[Published Version] View | Files available | DOI | WoS
 

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