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37 Publications


2019 | Conference Paper | IST-REx-ID: 5947   OA
Chatterjee B, Peri S, Sa M, Singhal N. A simple and practical concurrent non-blocking unbounded graph with linearizable reachability queries. In: ACM International Conference Proceeding Series. ACM; 2019:168-177. doi:10.1145/3288599.3288617
View | DOI | Download (ext.) | arXiv
 

2019 | Conference Paper | IST-REx-ID: 6673
Alistarh D-A, Nadiradze G, Koval N. Efficiency guarantees for parallel incremental algorithms under relaxed schedulers. In: 31st ACM Symposium on Parallelism in Algorithms and Architectures. ACM Press; 2019:145-154. doi:10.1145/3323165.3323201
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2019 | Conference Paper | IST-REx-ID: 6933   OA
Censor-Hillel K, Dory M, Korhonen J, Leitersdorf D. Fast approximate shortest paths in the congested clique. In: Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin. ACM; 2019:74-83. doi:10.1145/3293611.3331633
View | DOI | Download (ext.) | arXiv
 

2019 | Journal Article | IST-REx-ID: 6972   OA
Lenzen C, Rybicki J. Self-stabilising Byzantine clock synchronisation is almost as easy as consensus. Journal of the ACM. 2019;66(5). doi:10.1145/3339471
View | Files available | DOI | arXiv
 

2019 | Conference Paper | IST-REx-ID: 7122
Khirirat S, Johansson M, Alistarh D-A. Gradient compression for communication-limited convex optimization. In: 2018 IEEE Conference on Decision and Control. IEEE; 2019. doi:10.1109/cdc.2018.8619625
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2019 | Conference Paper | IST-REx-ID: 7228
Koval N, Alistarh D-A, Elizarov R. Scalable FIFO channels for programming via communicating sequential processes. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 11725. Springer Nature; 2019:317-333. doi:10.1007/978-3-030-29400-7_23
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2019 | Conference Poster | IST-REx-ID: 6485
Koval N, Alistarh D-A, Elizarov R. Lock-Free Channels for Programming via Communicating Sequential Processes. ACM Press; 2019:417-418. doi:10.1145/3293883.3297000
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2019 | Conference Paper | IST-REx-ID: 6935   OA
Foerster K-T, Korhonen J, Rybicki J, Schmid S. Does preprocessing help under congestion? In: Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing. ACM; 2019:259-261. doi:10.1145/3293611.3331581
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2019 | Journal Article | IST-REx-ID: 7224   OA
Rybicki J, Abrego N, Ovaskainen O. Habitat fragmentation and species diversity in competitive communities. Ecology Letters. 2019. doi:10.1111/ele.13450
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2019 | Conference Paper | IST-REx-ID: 6676   OA
Alistarh D-A, Aspnes J, Ellen F, Gelashvili R, Zhu L. Why extension-based proofs fail. In: Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing  - STOC 2019. ACM Press; 2019:986-996. doi:10.1145/3313276.3316407
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2019 | Conference Paper | IST-REx-ID: 6931   OA
Nowak T, Rybicki J. Byzantine approximate agreement on graphs. In: 33rd International Symposium on Distributed Computing. Vol 146. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik; 2019:29:1--29:17. doi:10.4230/LIPICS.DISC.2019.29
View | Files available | DOI | arXiv
 

2019 | Journal Article | IST-REx-ID: 6936   OA
Ovaskainen O, Rybicki J, Abrego N. What can observational data reveal about metacommunity processes? Ecography. 2019;42(11):1877-1886. doi:10.1111/ecog.04444
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2019 | Conference Paper | IST-REx-ID: 7213
Bhatia S, Chatterjee B, Nathani D, Kaul M. A persistent homology perspective to the link prediction problem. In: Complex Networks and Their Applications VIII. Vol 881. Springer Nature; 2019:27-39. doi:10.1007/978-3-030-36687-2_3
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2019 | Conference Paper | IST-REx-ID: 7201   OA
Renggli C, Ashkboos S, Aghagolzadeh M, Alistarh D-A, Hoefler T. SparCML: High-performance sparse communication for machine learning. In: International Conference for High Performance Computing, Networking, Storage and Analysis, SC. ACM; 2019. doi:10.1145/3295500.3356222
View | DOI | Download (ext.) | arXiv
 

2019 | Journal Article | IST-REx-ID: 6759   OA
Jelínek V, Töpfer M. On grounded L-graphs and their relatives. Electronic Journal of Combinatorics. 2019;26(3).
View | Files available | arXiv
 

2019 | Journal Article | IST-REx-ID: 7214   OA
Aganezov S, Zban I, Aksenov V, Alexeev N, Schatz MC. Recovering rearranged cancer chromosomes from karyotype graphs. BMC Bioinformatics. 2019;20. doi:10.1186/s12859-019-3208-4
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2018 | Conference Paper | IST-REx-ID: 5961
Alistarh D-A. A brief tutorial on distributed and concurrent machine learning. In: Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18. ACM Press; 2018:487-488. doi:10.1145/3212734.3212798
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2018 | Conference Paper | IST-REx-ID: 5966   OA
Alistarh D-A, Haider SK, Kübler R, Nadiradze G. The transactional conflict problem. In: Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18. ACM Press; 2018:383-392. doi:10.1145/3210377.3210406
View | DOI | Download (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 6558   OA
Alistarh D-A, Allen-Zhu Z, Li J. Byzantine Stochastic Gradient Descent. In: Bengio S, Wallach H, Larochelle H, Grauman K, Cesa-Bianchi N, Garnett R, eds. Advances in Neural Information Processing Systems. Vol Volume 2018. Neural Information Processing Systems Foundation; 2018:4613-4623.
View | Download (ext.) | arXiv
 

2018 | Conference Paper | IST-REx-ID: 6589   OA
Alistarh D-A, Hoefler T, Johansson M, Konstantinov NH, Khirirat S, Renggli C. The convergence of sparsified gradient methods. In: Advances in Neural Information Processing Systems 31. Vol Volume 2018. Neural information processing systems; 2018:5973-5983.
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