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168 Publications

2021 | Published | Conference Paper | IST-REx-ID: 9933 | OA
Czumaj A, Davies P, Parter M. 2021. Component stability in low-space massively parallel computation. Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing. PODC: Principles of Distributed Computing, 481–491.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 9935 | OA
Czumaj A, Davies P, Parter M. 2021. Improved deterministic (Δ+1) coloring in low-space MPC. Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing. PODC: Symposium on Principles of Distributed Computing, 469–479.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2021 | Published | Conference Paper | IST-REx-ID: 9951
Alistarh D-A, Töpfer M, Uznański P. 2021. Comparison dynamics in population protocols. Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing. PODC: Symposium on Principles of Distributed Computing, 55–65.
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2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
Krumes A, Iofinova EB, Vladu A, Alistarh D-A. 2021. AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 34, 8557–8570.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Thesis | PhD | IST-REx-ID: 10429 | OA
Nadiradze G. 2021. On achieving scalability through relaxation. Institute of Science and Technology Austria.
[Published Version] View | Files available | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 10435 | OA
Nadiradze G, Sabour A, Davies P, Li S, Alistarh D-A. 2021. Asynchronous decentralized SGD with quantized and local updates. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10432 | OA
Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. 2021. Elastic consistency: A practical consistency model for distributed stochastic gradient descent. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence vol. 35, 9037–9045.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10049 | OA
Klein K, Pascual Perez G, Walter M, Kamath Hosdurg C, Capretto M, Cueto Noval M, Markov I, Yeo MX, Alwen JF, Pietrzak KZ. 2021. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. 2021 IEEE Symposium on Security and Privacy . SP: Symposium on Security and Privacy, 268–284.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 
2021 | Published | Conference Paper | IST-REx-ID: 9823 | OA
Alistarh D-A, Ellen F, Rybicki J. 2021. Wait-free approximate agreement on graphs. Structural Information and Communication Complexity. SIROCCO: Structural Information and Communication Complexity, LNCS, vol. 12810, 87–105.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 15074 | OA
Brandt S, Keller B, Rybicki J, Suomela J, Uitto J. 2020. Brief announcement: Efficient load-balancing through distributed token dropping. 34th International Symposium on Distributed Computing. DISC: Symposium on Distributed Computing, LIPIcs, vol. 179, 40.
[Published Version] View | Files available | DOI | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 15077 | OA
Alistarh D-A, Nadiradze G, Sabour A. 2020. Dynamic averaging load balancing on cycles. 47th International Colloquium on Automata, Languages, and Programming. ICALP: Automata, Languages and Programming, LIPIcs, vol. 168, 7.
[Published Version] View | Files available | DOI | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 15086 | OA
Faghri F, Tabrizian I, Markov I, Alistarh D-A, Roy D, Ramezani-Kebrya A. 2020. Adaptive gradient quantization for data-parallel SGD. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, NeurIPS, vol. 33.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 7802 | OA
Czumaj A, Davies P, Parter M. 2020. Graph sparsification for derandomizing massively parallel computation with low space. Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020). SPAA: Symposium on Parallelism in Algorithms and Architectures, 175–185.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 7803 | OA
Czumaj A, Davies P, Parter M. 2020. Simple, deterministic, constant-round coloring in the congested clique. Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing. PODC: Symposium on Principles of Distributed Computing, 309–318.
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 8191
Alistarh D-A, Brown TA, Singhal N. 2020. Memory tagging: Minimalist synchronization for scalable concurrent data structures. Annual ACM Symposium on Parallelism in Algorithms and Architectures. SPAA: Symposium on Parallelism in Algorithms and Architectures, 37–49.
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2020 | Published | Journal Article | IST-REx-ID: 8268 | OA
Gurel NM, Kara K, Stojanov A, Smith T, Lemmin T, Alistarh D-A, Puschel M, Zhang C. 2020. Compressive sensing using iterative hard thresholding with low precision data representation: Theory and applications. IEEE Transactions on Signal Processing. 68, 4268–4282.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 8383
Alistarh D-A, Aspnes J, Ellen F, Gelashvili R, Zhu L. 2020. Brief Announcement: Why Extension-Based Proofs Fail. Proceedings of the 39th Symposium on Principles of Distributed Computing. PODC: Principles of Distributed Computing, 54–56.
View | DOI | WoS
 
2020 | Published | Conference Paper | IST-REx-ID: 8722 | OA
Li S, Tal Ben-Nun TB-N, Girolamo SD, Alistarh D-A, Hoefler T. 2020. Taming unbalanced training workloads in deep learning with partial collective operations. Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPoPP: Sympopsium on Principles and Practice of Parallel Programming, 45–61.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2020 | Published | Conference Paper | IST-REx-ID: 8725 | OA
Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. 2020. The splay-list: A distribution-adaptive concurrent skip-list. 34th International Symposium on Distributed Computing. DISC: Symposium on Distributed ComputingLIPIcs vol. 179, 3:1-3:18.
[Published Version] View | Files available | DOI | arXiv
 
2020 | Conference Paper | IST-REx-ID: 9415 | OA
Kurtz M, Kopinsky J, Gelashvili R, Matveev A, Carr J, Goin M, Leiserson W, Moore S, Nell B, Shavit N, Alistarh D-A. 2020. Inducing and exploiting activation sparsity for fast neural network inference. 37th International Conference on Machine Learning, ICML 2020. ICML: International Conference on Machine Learning vol. 119, 5533–5543.
[Published Version] View | Files available
 

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