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121 Publications
2018 | Conference Paper | IST-REx-ID: 7116 | 
Grubic, Demjan, et al. “Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.” Proceedings of the 21st International Conference on Extending Database Technology, OpenProceedings, 2018, pp. 145–56, doi:10.5441/002/EDBT.2018.14.
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2018 | Journal Article | IST-REx-ID: 6001
Alistarh, Dan-Adrian, et al. “ThreadScan: Automatic and Scalable Memory Reclamation.” ACM Transactions on Parallel Computing, vol. 4, no. 4, 18, Association for Computing Machinery, 2018, doi:10.1145/3201897.
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2018 | Conference Paper | IST-REx-ID: 7812 |
Polino, Antonio, et al. “Model Compression via Distillation and Quantization.” 6th International Conference on Learning Representations, 2018.
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| arXiv
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 |
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.
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2018 | Journal Article | IST-REx-ID: 76 |
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 |
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 |
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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| arXiv
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 |
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 |
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.
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| arXiv
2018 | Conference Paper | IST-REx-ID: 5966 |
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.
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| arXiv
2018 | Conference Paper | IST-REx-ID: 5964 |
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.
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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 |
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.
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| arXiv
2018 | Conference Paper | IST-REx-ID: 6558 |
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.
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| arXiv
2018 | Conference Paper | IST-REx-ID: 6589 |
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.
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| 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 |
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 |
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.
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| arXiv
2017 | Conference Paper | IST-REx-ID: 432 |
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.
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