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156 Publications
2019 | Published | Journal Article | IST-REx-ID: 7214 | 
Aganezov S, Zban I, Aksenov V, Alexeev N, Schatz MC. 2019. Recovering rearranged cancer chromosomes from karyotype graphs. BMC Bioinformatics. 20, 641.
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2019 | Published | Conference Paper | IST-REx-ID: 7228
Koval N, Alistarh D-A, Elizarov R. 2019. Scalable FIFO channels for programming via communicating sequential processes. 25th Anniversary of Euro-Par. Euro-Par: European Conference on Parallel Processing, LNCS, vol. 11725, 317–333.
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2019 | Published | Conference Paper | IST-REx-ID: 7542 |
Wendler C, Alistarh D-A, Püschel M. 2019. Powerset convolutional neural networks. NIPS: Conference on Neural Information Processing Systems vol. 32, 927–938.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6933 |
Censor-Hillel K, Dory M, Korhonen J, Leitersdorf D. 2019. Fast approximate shortest paths in the congested clique. Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin. PODC: Symposium on Principles of Distributed Computing, 74–83.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6972 |
Lenzen C, Rybicki J. 2019. Self-stabilising Byzantine clock synchronisation is almost as easy as consensus. Journal of the ACM. 66(5), 32.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6936 |
Ovaskainen O, Rybicki J, Abrego N. 2019. What can observational data reveal about metacommunity processes? Ecography. 42(11), 1877–1886.
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2019 | Published | Conference Paper | IST-REx-ID: 6935 |
Foerster K-T, Korhonen J, Rybicki J, Schmid S. 2019. Does preprocessing help under congestion? Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing. PODC: Symposium on Principles of Distributed Computing, 259–261.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6673 |
Alistarh D-A, Nadiradze G, Koval N. 2019. Efficiency guarantees for parallel incremental algorithms under relaxed schedulers. 31st ACM Symposium on Parallelism in Algorithms and Architectures. SPAA: Symposium on Parallelism in Algorithms and Architectures, 145–154.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6676 |
Alistarh D-A, Aspnes J, Ellen F, Gelashvili R, Zhu L. 2019. Why extension-based proofs fail. Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing. STOC: Symposium on Theory of Computing, 986–996.
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| arXiv
2019 | Published | Journal Article | IST-REx-ID: 6759 |
Jelínek V, Töpfer M. 2019. On grounded L-graphs and their relatives. Electronic Journal of Combinatorics. 26(3), P3.17.
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2019 | Published | Conference Paper | IST-REx-ID: 6931 |
Nowak T, Rybicki J. 2019. Byzantine approximate agreement on graphs. 33rd International Symposium on Distributed Computing. DISC: Symposium on Distributed Computing, LIPIcs, vol. 146, 29:1--29:17.
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 7201 |
Renggli C, Ashkboos S, Aghagolzadeh M, Alistarh D-A, Hoefler T. 2019. SparCML: High-performance sparse communication for machine learning. International Conference for High Performance Computing, Networking, Storage and Analysis, SC. SC: Conference for High Performance Computing, Networking, Storage and Analysis, a11.
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| arXiv
2018 | Published | Journal Article | IST-REx-ID: 6001
Alistarh D-A, Leiserson W, Matveev A, Shavit N. 2018. ThreadScan: Automatic and scalable memory reclamation. ACM Transactions on Parallel Computing. 4(4), 18.
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2018 | Published | Conference Paper | IST-REx-ID: 6031
Stojanov A, Smith TM, Alistarh D-A, Puschel M. 2018. Fast quantized arithmetic on x86: Trading compute for data movement. 2018 IEEE International Workshop on Signal Processing Systems. SiPS: Workshop on Signal Processing Systems vol. 2018–October, 8598402.
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2018 | Published | Conference Paper | IST-REx-ID: 6558 |
Alistarh D-A, Allen-Zhu Z, Li J. 2018. Byzantine stochastic gradient descent. Advances in Neural Information Processing Systems. NeurIPS: Conference on Neural Information Processing Systems vol. 2018, 4613–4623.
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2018 | Published | Conference Paper | IST-REx-ID: 7116 |
Grubic D, Tam L, Alistarh D-A, Zhang C. 2018. Synchronous multi-GPU training for deep learning with low-precision communications: An empirical study. Proceedings of the 21st International Conference on Extending Database Technology. EDBT: Conference on Extending Database Technology, 145–156.
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2018 | Published | Conference Paper | IST-REx-ID: 7123 |
Alistarh D-A, Aspnes J, Gelashvili R. 2018. Space-optimal majority in population protocols. Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms. SODA: Symposium on Discrete Algorithms, 2221–2239.
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