Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
164 Publications
2021 |
Published |
Conference Paper |
IST-REx-ID: 10853 |
Fedorov A, Koval N, Alistarh D-A. A scalable concurrent algorithm for dynamic connectivity. In: Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures. Association for Computing Machinery; 2021:208-220. doi:10.1145/3409964.3461810
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10854 |
Foerster K-T, Korhonen J, Paz A, Rybicki J, Schmid S. Input-dynamic distributed algorithms for communication networks. In: Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. Association for Computing Machinery; 2021:71-72. doi:10.1145/3410220.3453923
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 10855 |
Foerster K-T, Korhonen J, Paz A, Rybicki J, Schmid S. Input-dynamic distributed algorithms for communication networks. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2021;5(1):1-33. doi:10.1145/3447384
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 11436 |
Kungurtsev V, Egan M, Chatterjee B, Alistarh D-A. Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In: 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Vol 35. AAAI Press; 2021:8209-8216.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10049 |
Klein K, Pascual Perez G, Walter M, et al. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. In: 2021 IEEE Symposium on Security and Privacy . IEEE; 2021:268-284. doi:10.1109/sp40001.2021.00035
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
2021 |
Published |
Journal Article |
IST-REx-ID: 10180 |
Hoefler T, Alistarh D-A, Ben-Nun T, Dryden N, Krumes A. Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks. Journal of Machine Learning Research. 2021;22(241):1-124.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10216 |
Chatterjee B, Peri S, Sa M. Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.52
[Published Version]
View
| Files available
| DOI
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10217 |
Alistarh D-A, Gelashvili R, Nadiradze G. Lower bounds for shared-memory leader election under bounded write contention. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.4
[Published Version]
View
| Files available
| DOI
2021 |
Published |
Conference Paper |
IST-REx-ID: 10218 |
Alistarh D-A, Gelashvili R, Rybicki J. Brief announcement: Fast graphical population protocols. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.43
[Published Version]
View
| Files available
| DOI
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10219 |
Korhonen J, Paz A, Rybicki J, Schmid S, Suomela J. Brief announcement: Sinkless orientation is hard also in the supported LOCAL model. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.58
[Published Version]
View
| Files available
| DOI
| arXiv
2021 |
Published |
Thesis | PhD |
IST-REx-ID: 10429 |
Nadiradze G. On achieving scalability through relaxation. 2021. doi:10.15479/at:ista:10429
[Published Version]
View
| Files available
| DOI
2021 |
Published |
Conference Paper |
IST-REx-ID: 10432 |
Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. Elastic consistency: A practical consistency model for distributed stochastic gradient descent. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. ; 2021:9037-9045.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10435 |
Nadiradze G, Sabour A, Davies P, Li S, Alistarh D-A. Asynchronous decentralized SGD with quantized and local updates. In: 35th Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation; 2021.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 7939 |
Censor-Hillel K, Dory M, Korhonen J, Leitersdorf D. Fast approximate shortest paths in the congested clique. Distributed Computing. 2021;34:463-487. doi:10.1007/s00446-020-00380-5
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)
| WoS
| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 8723 |
Li S, Tal Ben-Nun TB-N, Nadiradze G, et al. Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging. IEEE Transactions on Parallel and Distributed Systems. 2021;32(7). doi:10.1109/TPDS.2020.3040606
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 9541 |
Czumaj A, Davies P, Parter M. Graph sparsification for derandomizing massively parallel computation with low space. ACM Transactions on Algorithms. 2021;17(2). doi:10.1145/3451992
[Submitted Version]
View
| Files available
| DOI
| Download Submitted Version (ext.)
| WoS
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 9543 |
Davies P, Gurunanthan V, Moshrefi N, Ashkboos S, Alistarh D-A. New bounds for distributed mean estimation and variance reduction. In: 9th International Conference on Learning Representations. ; 2021.
[Published Version]
View
| Download Published Version (ext.)
| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 9571 |
Ramezani-Kebrya A, Faghri F, Markov I, Aksenov V, Alistarh D-A, Roy DM. NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization. Journal of Machine Learning Research. 2021;22(114):1−43.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 9620 |
Alistarh D-A, Davies P. Collecting coupons is faster with friends. In: Structural Information and Communication Complexity. Vol 12810. Springer Nature; 2021:3-12. doi:10.1007/978-3-030-79527-6_1
[Preprint]
View
| Files available
| DOI
| WoS
2021 |
Published |
Conference Paper |
IST-REx-ID: 9678 |
Brandt S, Keller B, Rybicki J, Suomela J, Uitto J. Efficient load-balancing through distributed token dropping. In: Annual ACM Symposium on Parallelism in Algorithms and Architectures. ; 2021:129-139. doi:10.1145/3409964.3461785
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv