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148 Publications
2021 | Published | Journal Article | IST-REx-ID: 9541 | 
Czumaj A, Davies P, Parter M. 2021. Graph sparsification for derandomizing massively parallel computation with low space. ACM Transactions on Algorithms. 17(2), 16.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 13147 |
Alimisis, Foivos, Communication-efficient distributed optimization with quantized preconditioners. Proceedings of the 38th International Conference on Machine Learning 139. 2021
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| 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.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10435 |
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.
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| 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.
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| arXiv
2021 | Published | Thesis | IST-REx-ID: 10429 |
Nadiradze G. 2021. On achieving scalability through relaxation. Institute of Science and Technology Austria.
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2021 | Published | Conference Paper | IST-REx-ID: 10432 |
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.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10049 |
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.
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2021 | Published | Conference Paper | IST-REx-ID: 11458 |
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.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7635
Koval N, Sokolova M, Fedorov A, Alistarh D-A, Tsitelov D. 2020. Testing concurrency on the JVM with Lincheck. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. PPOPP: Principles and Practice of Parallel Programming, 423–424.
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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 | 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.
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2020 | Conference Paper | IST-REx-ID: 9415 |
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.
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2020 | Published | Conference Paper | IST-REx-ID: 7605 |
Alistarh, Dan-Adrian, In search of the fastest concurrent union-find algorithm. 23rd International Conference on Principles of Distributed Systems 153. 2020
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| arXiv
2020 | Published | Journal Article | IST-REx-ID: 8268 |
Gurel, Nezihe Merve, Compressive sensing using iterative hard thresholding with low precision data representation: Theory and applications. IEEE Transactions on Signal Processing 68. 2020
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 15074 |
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.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8725 |
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.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 8722 |
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.
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| arXiv
2020 | Published | Conference Paper | IST-REx-ID: 7636 |
Brown TA, Prokopec A, Alistarh D-A. 2020. Non-blocking interpolation search trees with doubly-logarithmic running time. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. PPOPP: Principles and Practice of Parallel Programming, 276–291.
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2020 | Published | Conference Paper | IST-REx-ID: 15086 |
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.
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| arXiv