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118 Publications


2018 | Conference Paper | IST-REx-ID: 397
Arbel Raviv, Maya, and Trevor A. Brown. Harnessing Epoch-Based Reclamation for Efficient Range Queries. Vol. 53, no. 1, ACM, 2018, pp. 14–27, doi:10.1145/3178487.3178489.
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2018 | Journal Article | IST-REx-ID: 43 | OA
Rybicki, Joel, et al. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” PNAS, vol. 115, no. 42, National Academy of Sciences, 2018, pp. 10690–95, doi:10.1073/pnas.1721061115.
[Submitted Version] View | Files available | DOI | WoS
 

2018 | Journal Article | IST-REx-ID: 76 | OA
Lenzen, Christoph, and Joel Rybicki. “Near-Optimal Self-Stabilising Counting and Firing Squads.” Distributed Computing, Springer, 2018, doi:10.1007/s00446-018-0342-6.
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2018 | Conference Paper | IST-REx-ID: 85 | OA
Gilad, Eran, et al. Snapshot Based Synchronization: A Fast Replacement for Hand-over-Hand Locking. Vol. 11014, Springer, 2018, pp. 465–79, doi:10.1007/978-3-319-96983-1_33.
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2018 | Conference Paper | IST-REx-ID: 5962 | OA
Alistarh, Dan-Adrian, et al. “The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 169–78, doi:10.1145/3212734.3212763.
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2018 | Conference Paper | IST-REx-ID: 5961
Alistarh, Dan-Adrian. “A Brief Tutorial on Distributed and Concurrent Machine Learning.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 487–88, doi:10.1145/3212734.3212798.
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2018 | Conference Paper | IST-REx-ID: 5963 | OA
Alistarh, Dan-Adrian, et al. “Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 377–86, doi:10.1145/3212734.3212756.
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2018 | Conference Paper | IST-REx-ID: 5965 | OA
Alistarh, Dan-Adrian, et al. “Distributionally Linearizable Data Structures.” Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 133–42, doi:10.1145/3210377.3210411.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2018 | Conference Paper | IST-REx-ID: 5966 | OA
Alistarh, Dan-Adrian, et al. “The Transactional Conflict Problem.” Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures  - SPAA ’18, ACM Press, 2018, pp. 383–92, doi:10.1145/3210377.3210406.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2018 | Conference Paper | IST-REx-ID: 5964 | OA
Aksenov, Vitaly, et al. “Brief Announcement: Performance Prediction for Coarse-Grained Locking.” Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing  - PODC ’18, ACM Press, 2018, pp. 411–13, doi:10.1145/3212734.3212785.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 

2018 | Conference Paper | IST-REx-ID: 6031
Stojanov, Alen, et al. “Fast Quantized Arithmetic on X86: Trading Compute for Data Movement.” 2018 IEEE International Workshop on Signal Processing Systems, vol. 2018–October, 8598402, IEEE, 2018, doi:10.1109/SiPS.2018.8598402.
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2018 | Conference Paper | IST-REx-ID: 7123 | OA
Alistarh, Dan-Adrian, et al. “Space-Optimal Majority in Population Protocols.” Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms, ACM, 2018, pp. 2221–39, doi:10.1137/1.9781611975031.144.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2018 | Conference Paper | IST-REx-ID: 6558 | OA
Alistarh, Dan-Adrian, et al. “Byzantine Stochastic Gradient Descent.” Advances in Neural Information Processing Systems, vol. 2018, Neural Information Processing Systems Foundation, 2018, pp. 4613–23.
[Published Version] View | Download Published Version (ext.) | WoS | arXiv
 

2018 | Conference Paper | IST-REx-ID: 6589 | OA
Alistarh, Dan-Adrian, et al. “The Convergence of Sparsified Gradient Methods.” Advances in Neural Information Processing Systems 31, vol. Volume 2018, Neural Information Processing Systems Foundation, 2018, pp. 5973–83.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 

2017 | Conference Paper | IST-REx-ID: 487
Baig, Ghufran, et al. “Towards Unlicensed Cellular Networks in TV White Spaces.” Proceedings of the 2017 13th International Conference on Emerging Networking EXperiments and Technologies, ACM, 2017, pp. 2–14, doi:10.1145/3143361.3143367.
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2017 | Conference Paper | IST-REx-ID: 791 | OA
Alistarh, Dan-Adrian, et al. “The Power of Choice in Priority Scheduling.” Proceedings of the ACM Symposium on Principles of Distributed Computing, vol. Part F129314, ACM, 2017, pp. 283–92, doi:10.1145/3087801.3087810.
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2017 | Conference Paper | IST-REx-ID: 431 | OA
Alistarh, Dan-Adrian, et al. QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding. Vol. 2017, Neural Information Processing Systems Foundation, 2017, pp. 1710–21.
[Submitted Version] View | Download Submitted Version (ext.) | arXiv
 

2017 | Conference Paper | IST-REx-ID: 432 | OA
Zhang, Hantian, et al. “ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.” Proceedings of Machine Learning Research, vol. 70, ML Research Press, 2017, pp. 4035–43.
[Submitted Version] View | Files available
 

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