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.
138 Publications
2022 |Published| Conference Paper | IST-REx-ID: 11181 | 
Brown TA, Sigouin W, Alistarh D-A. 2022. PathCAS: An efficient middle ground for concurrent search data structures. Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPoPP: Sympopsium on Principles and Practice of Parallel Programming, 385–399.
[Published Version]
View
| Files available
| DOI
| WoS
2022 |Published| Conference Paper | IST-REx-ID: 11180 |
Postnikova A, Koval N, Nadiradze G, Alistarh D-A. 2022. Multi-queues can be state-of-the-art priority schedulers. Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPoPP: Sympopsium on Principles and Practice of Parallel Programming, 353–367.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 | Research Data Reference | IST-REx-ID: 13076 |
Postnikova A, Koval N, Nadiradze G, Alistarh D-A. 2022. Multi-queues can be state-of-the-art priority schedulers, Zenodo, 10.5281/ZENODO.5733408.
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)
2022 |Published| Conference Paper | IST-REx-ID: 11707 |
Balliu A, Hirvonen J, Melnyk D, Olivetti D, Rybicki J, Suomela J. 2022. Local mending. International Colloquium on Structural Information and Communication Complexity. SIROCCO: Structural Information and Communication ComplexityLNCS vol. 13298, 1–20.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12299 |
Iofinova EB, Peste E-A, Kurtz M, Alistarh D-A. 2022. How well do sparse ImageNet models transfer? 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR: Computer Vision and Pattern Recognition, 12256–12266.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 |Published| Journal Article | IST-REx-ID: 8286 |
Alistarh D-A, Nadiradze G, Sabour A. 2022. Dynamic averaging load balancing on cycles. Algorithmica. 84(4), 1007–1029.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 17088 |
Kurtic E, Campos D, Nguyen T, Frantar E, Kurtz M, Fineran B, Goin M, Alistarh D-A. 2022. The optimal BERT surgeon: Scalable and accurate second-order pruning for large language models. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. EMNLP: Conference on Empirical Methods in Natural Language Processing, 4163–4181.
[Published Version]
View
| Files available
| DOI
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 17059 |
Frantar E, Alistarh D-A. 2022. SPDY: Accurate pruning with speedup guarantees. 39th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 162, 6726–6743.
[Published Version]
View
| Files available
| WoS
2022 |Published| Journal Article | IST-REx-ID: 11420 |
Shevchenko A, Kungurtsev V, Mondelli M. 2022. Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. 23(130), 1–55.
[Published Version]
View
| Files available
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 12780 |
Markov I, Ramezanikebrya H, Alistarh D-A. 2022. CGX: Adaptive system support for communication-efficient deep learning. Proceedings of the 23rd ACM/IFIP International Middleware Conference. Middleware: International Middleware Conference, 241–254.
[Published Version]
View
| Files available
| DOI
| arXiv
2022 |Published| Conference Paper | IST-REx-ID: 17087 |
Frantar E, Singh SP, Alistarh D-A. 2022. Optimal brain compression: A framework for accurate post-training quantization and pruning. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 35.
[Submitted Version]
View
| Files available
| arXiv
2021 |Published| Journal Article | IST-REx-ID: 10180 |
Hoefler T, Alistarh D-A, Ben-Nun T, Dryden N, Peste E-A. 2021. Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks. Journal of Machine Learning Research. 22(241), 1–124.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 10218 |
Alistarh D-A, Gelashvili R, Rybicki J. 2021. Brief announcement: Fast graphical population protocols. 35th International Symposium on Distributed Computing. DISC: Distributed Computing , LIPIcs, vol. 209, 43.
[Published Version]
View
| Files available
| DOI
| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 10217 |
Alistarh D-A, Gelashvili R, Nadiradze G. 2021. Lower bounds for shared-memory leader election under bounded write contention. 35th International Symposium on Distributed Computing. DISC: Distributed Computing, LIPIcs, vol. 209, 4.
[Published Version]
View
| Files available
| DOI
2021 |Published| Conference Paper | IST-REx-ID: 10216 |
Chatterjee B, Peri S, Sa M. 2021. Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds. 35th International Symposium on Distributed Computing. DISC: Distributed Computing, LIPIcs, vol. 209, 52.
[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. 2021. Brief announcement: Sinkless orientation is hard also in the supported LOCAL model. 35th International Symposium on Distributed Computing. DISC: Distributed Computing , LIPIcs, vol. 209, 58.
[Published Version]
View
| Files available
| DOI
| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 10853 |
Fedorov A, Koval N, Alistarh D-A. 2021. A scalable concurrent algorithm for dynamic connectivity. Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures. SPAA: Symposium on Parallelism in Algorithms and Architectures, 208–220.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 11436 |
Kungurtsev V, Egan M, Chatterjee B, Alistarh D-A. 2021. Asynchronous optimization methods for efficient training of deep neural networks with guarantees. 35th AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI: Conference on Artificial Intelligence vol. 35, 8209–8216.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 11452 |
Alimisis F, Davies P, Vandereycken B, Alistarh D-A. 2021. Distributed principal component analysis with limited communication. Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 4, 2823–2834.
[Published Version]
View
| Download Published Version (ext.)
| arXiv
2021 |Published| Conference Paper | IST-REx-ID: 11463 |
Frantar E, Kurtic E, Alistarh D-A. 2021. M-FAC: Efficient matrix-free approximations of second-order information. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 14873–14886.
[Published Version]
View
| Download Published Version (ext.)
| arXiv