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123 Publications

2020 |Published| Conference Paper | IST-REx-ID: 7635
N. Koval, M. Sokolova, A. Fedorov, D.-A. Alistarh, and D. Tsitelov, “Testing concurrency on the JVM with Lincheck,” in Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, San Diego, CA, United States, 2020, pp. 423–424.
View | DOI
 
2020 |Published| Conference Paper | IST-REx-ID: 8383
D.-A. Alistarh, J. Aspnes, F. Ellen, R. Gelashvili, and L. Zhu, “Brief Announcement: Why Extension-Based Proofs Fail,” in Proceedings of the 39th Symposium on Principles of Distributed Computing, Virtual, Italy, 2020, pp. 54–56.
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2020 |Published| Conference Paper | IST-REx-ID: 15074 | OA
S. Brandt, B. Keller, J. Rybicki, J. Suomela, and J. Uitto, “Brief announcement: Efficient load-balancing through distributed token dropping,” in 34th International Symposium on Distributed Computing, Virtual, 2020, vol. 179.
[Published Version] View | Files available | DOI | arXiv
 
2020 |Published| Conference Paper | IST-REx-ID: 15086 | OA
F. Faghri, I. Tabrizian, I. Markov, D.-A. Alistarh, D. Roy, and A. Ramezani-Kebrya, “Adaptive gradient quantization for data-parallel SGD,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 |Published| Conference Paper | IST-REx-ID: 15077 | OA
D.-A. Alistarh, G. Nadiradze, and A. Sabour, “Dynamic averaging load balancing on cycles,” in 47th International Colloquium on Automata, Languages, and Programming, Saarbrücken, Germany, Virtual, 2020, vol. 168.
[Published Version] View | Files available | DOI | arXiv
 
2019 |Published| Journal Article | IST-REx-ID: 6759 | OA
V. Jelínek and M. Töpfer, “On grounded L-graphs and their relatives,” Electronic Journal of Combinatorics, vol. 26, no. 3. Electronic Journal of Combinatorics, 2019.
[Published Version] View | Files available | DOI | arXiv
 
2019 |Published| Conference Paper | IST-REx-ID: 6931 | OA
T. Nowak and J. Rybicki, “Byzantine approximate agreement on graphs,” in 33rd International Symposium on Distributed Computing, Budapest, Hungary, 2019, vol. 146, p. 29:1--29:17.
[Published Version] View | Files available | DOI | arXiv
 
2019 |Published| Conference Paper | IST-REx-ID: 5947 | OA
B. Chatterjee, S. Peri, M. Sa, and N. Singhal, “A simple and practical concurrent non-blocking unbounded graph with linearizable reachability queries,” in ACM International Conference Proceeding Series, Bangalore, India, 2019, pp. 168–177.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 |Published| Conference Poster | IST-REx-ID: 6485
N. Koval, D.-A. Alistarh, and R. Elizarov, Lock-free channels for programming via communicating sequential processes. ACM Press, 2019, pp. 417–418.
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2019 |Published| Journal Article | IST-REx-ID: 6936 | OA
O. Ovaskainen, J. Rybicki, and N. Abrego, “What can observational data reveal about metacommunity processes?,” Ecography, vol. 42, no. 11. Wiley, pp. 1877–1886, 2019.
[Published Version] View | Files available | DOI | WoS
 
2019 |Published| Journal Article | IST-REx-ID: 6972 | OA
C. Lenzen and J. Rybicki, “Self-stabilising Byzantine clock synchronisation is almost as easy as consensus,” Journal of the ACM, vol. 66, no. 5. ACM, 2019.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2019 |Published| Conference Paper | IST-REx-ID: 7122
S. Khirirat, M. Johansson, and D.-A. Alistarh, “Gradient compression for communication-limited convex optimization,” in 2018 IEEE Conference on Decision and Control, Miami Beach, FL, United States, 2019.
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2019 |Published| Conference Paper | IST-REx-ID: 7201 | OA
C. Renggli, S. Ashkboos, M. Aghagolzadeh, D.-A. Alistarh, and T. Hoefler, “SparCML: High-performance sparse communication for machine learning,” in International Conference for High Performance Computing, Networking, Storage and Analysis, SC, Denver, CO, Unites States, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 |Published| Journal Article | IST-REx-ID: 7214 | OA
S. Aganezov, I. Zban, V. Aksenov, N. Alexeev, and M. C. Schatz, “Recovering rearranged cancer chromosomes from karyotype graphs,” BMC Bioinformatics, vol. 20. BMC, 2019.
[Published Version] View | Files available | DOI | WoS
 
2019 |Published| Conference Paper | IST-REx-ID: 7228
N. Koval, D.-A. Alistarh, and R. Elizarov, “Scalable FIFO channels for programming via communicating sequential processes,” in 25th Anniversary of Euro-Par, Göttingen, Germany, 2019, vol. 11725, pp. 317–333.
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2019 |Published| Conference Paper | IST-REx-ID: 7437 | OA
C. Yu et al., “Distributed learning over unreliable networks,” in 36th International Conference on Machine Learning, ICML 2019, Long Beach, CA, United States, 2019, vol. 2019–June, pp. 12481–12512.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
2019 |Published| Conference Paper | IST-REx-ID: 6673 | OA
D.-A. Alistarh, G. Nadiradze, and N. Koval, “Efficiency guarantees for parallel incremental algorithms under relaxed schedulers,” in 31st ACM Symposium on Parallelism in Algorithms and Architectures, Phoenix, AZ, United States, 2019, pp. 145–154.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 |Published| Conference Paper | IST-REx-ID: 7542 | OA
C. Wendler, D.-A. Alistarh, and M. Püschel, “Powerset convolutional neural networks,” presented at the NIPS: Conference on Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 927–938.
[Published Version] View | Download Published Version (ext.) | WoS | arXiv
 
2019 |Published| Conference Paper | IST-REx-ID: 6935 | OA
K.-T. Foerster, J. Korhonen, J. Rybicki, and S. Schmid, “Does preprocessing help under congestion?,” in Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, Toronto, ON, Canada, 2019, pp. 259–261.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 |Published| Conference Paper | IST-REx-ID: 6676 | OA
D.-A. Alistarh, J. Aspnes, F. Ellen, R. Gelashvili, and L. Zhu, “Why extension-based proofs fail,” in Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, Phoenix, AZ, United States, 2019, pp. 986–996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

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