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151 Publications

2019 | Published | Conference Paper | IST-REx-ID: 6933 | OA
Fast approximate shortest paths in the congested clique
K. Censor-Hillel, M. Dory, J. Korhonen, D. Leitersdorf, in:, Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin, ACM, 2019, pp. 74–83.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 6931 | OA
Byzantine approximate agreement on graphs
Nowak, Thomas, Byzantine approximate agreement on graphs. 33rd International Symposium on Distributed Computing 146. 2019
[Published Version] View | Files available | DOI | arXiv
 
2019 | Published | Journal Article | IST-REx-ID: 6972 | OA
Self-stabilising Byzantine clock synchronisation is almost as easy as consensus
C. Lenzen, J. Rybicki, Journal of the ACM 66 (2019).
[Published Version] View | Files available | DOI | WoS | arXiv
 
2019 | Published | Journal Article | IST-REx-ID: 6936 | OA
What can observational data reveal about metacommunity processes?
O. Ovaskainen, J. Rybicki, N. Abrego, Ecography 42 (2019) 1877–1886.
[Published Version] View | Files available | DOI | WoS
 
2019 | Published | Conference Paper | IST-REx-ID: 6935 | OA
Does preprocessing help under congestion?
K.-T. Foerster, J. Korhonen, J. Rybicki, S. Schmid, in:, Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, ACM, 2019, pp. 259–261.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 7201 | OA
SparCML: High-performance sparse communication for machine learning
Renggli, Cedric, SparCML: High-performance sparse communication for machine learning. International Conference for High Performance Computing, Networking, Storage and Analysis, SC. 2019
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 6673 | OA
Efficiency guarantees for parallel incremental algorithms under relaxed schedulers
D.-A. Alistarh, G. Nadiradze, N. Koval, in:, 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM, 2019, pp. 145–154.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Published | Conference Paper | IST-REx-ID: 6676 | OA
Why extension-based proofs fail
D.-A. Alistarh, J. Aspnes, F. Ellen, R. Gelashvili, L. Zhu, in:, Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, ACM, 2019, pp. 986–996.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Published | Journal Article | IST-REx-ID: 6759 | OA
On grounded L-graphs and their relatives
V. Jelínek, M. Töpfer, Electronic Journal of Combinatorics 26 (2019).
[Published Version] View | Files available | DOI | arXiv
 
2018 | Published | Journal Article | IST-REx-ID: 6001
ThreadScan: Automatic and scalable memory reclamation
D.-A. Alistarh, W. Leiserson, A. Matveev, N. Shavit, ACM Transactions on Parallel Computing 4 (2018).
View | Files available | DOI
 
2018 | Published | Conference Paper | IST-REx-ID: 6031
Fast quantized arithmetic on x86: Trading compute for data movement
A. Stojanov, T.M. Smith, D.-A. Alistarh, M. Puschel, in:, 2018 IEEE International Workshop on Signal Processing Systems, IEEE, 2018.
View | DOI | WoS
 
2018 | Published | Conference Paper | IST-REx-ID: 6558 | OA
Byzantine stochastic gradient descent
D.-A. Alistarh, Z. Allen-Zhu, J. Li, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2018, pp. 4613–4623.
[Published Version] View | Download Published Version (ext.) | WoS | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 7116 | OA
Synchronous multi-GPU training for deep learning with low-precision communications: An empirical study
D. Grubic, L. Tam, D.-A. Alistarh, C. Zhang, in:, Proceedings of the 21st International Conference on Extending Database Technology, OpenProceedings, 2018, pp. 145–156.
[Published Version] View | Files available | DOI
 
2018 | Published | Conference Paper | IST-REx-ID: 7123 | OA
Space-optimal majority in population protocols
D.-A. Alistarh, J. Aspnes, R. Gelashvili, in:, Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms, ACM, 2018, pp. 2221–2239.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2018 | Published | Conference Paper | IST-REx-ID: 397
Harnessing epoch-based reclamation for efficient range queries
M. Arbel Raviv, T.A. Brown, in:, ACM, 2018, pp. 14–27.
View | DOI | WoS
 
2018 | Published | Journal Article | IST-REx-ID: 536 | OA
Communication-efficient randomized consensus
D.-A. Alistarh, J. Aspnes, V. King, J. Saia, Distributed Computing 31 (2018) 489–501.
[Published Version] View | Files available | DOI
 
2018 | Published | Journal Article | IST-REx-ID: 76 | OA
Near-optimal self-stabilising counting and firing squads
C. Lenzen, J. Rybicki, Distributed Computing (2018).
[Published Version] View | Files available | DOI | WoS
 
2018 | Published | Conference Paper | IST-REx-ID: 85 | OA
Snapshot based synchronization: A fast replacement for Hand-over-Hand locking
E. Gilad, T.A. Brown, M. Oskin, Y. Etsion, in:, Springer, 2018, pp. 465–479.
[Preprint] View | Files available | DOI | WoS
 
2018 | Published | Journal Article | IST-REx-ID: 43 | OA
Model of bacterial toxin-dependent pathogenesis explains infective dose
J. Rybicki, E. Kisdi, J. Anttila, Proceedings of the National Academy of Sciences of the United States of America 115 (2018) 10690–10695.
[Submitted Version] View | Files available | DOI | WoS
 
2018 | Published | Conference Paper | IST-REx-ID: 5963 | OA
Relaxed schedulers can efficiently parallelize iterative algorithms
D.-A. Alistarh, T.A. Brown, J. Kopinsky, G. Nadiradze, in:, Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM, 2018, pp. 377–386.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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