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144 Publications
2019 | Published | Conference Paper | IST-REx-ID: 7228
Koval, Nikita, Dan-Adrian Alistarh, and Roman Elizarov. “Scalable FIFO Channels for Programming via Communicating Sequential Processes.” In 25th Anniversary of Euro-Par, 11725:317–33. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-29400-7_23.
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2019 | Published | Journal Article | IST-REx-ID: 6759 | 
Jelínek, Vít, and Martin Töpfer. “On Grounded L-Graphs and Their Relatives.” Electronic Journal of Combinatorics. Electronic Journal of Combinatorics, 2019. https://doi.org/10.37236/8096.
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2018 | Published | Conference Paper | IST-REx-ID: 397
Arbel Raviv, Maya, and Trevor A Brown. “Harnessing Epoch-Based Reclamation for Efficient Range Queries,” 53:14–27. ACM, 2018. https://doi.org/10.1145/3178487.3178489.
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2018 | Published | Conference Paper | IST-REx-ID: 5965 |
Alistarh, Dan-Adrian, Trevor A Brown, Justin Kopinsky, Jerry Z. Li, and Giorgi Nadiradze. “Distributionally Linearizable Data Structures.” In Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures - SPAA ’18, 133–42. ACM Press, 2018. https://doi.org/10.1145/3210377.3210411.
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2018 | Published | Conference Paper | IST-REx-ID: 85 |
Gilad, Eran, Trevor A Brown, Mark Oskin, and Yoav Etsion. “Snapshot Based Synchronization: A Fast Replacement for Hand-over-Hand Locking,” 11014:465–79. Springer, 2018. https://doi.org/10.1007/978-3-319-96983-1_33.
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2018 | Published | Journal Article | IST-REx-ID: 43 |
Rybicki, Joel, Eva Kisdi, and Jani Anttila. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” PNAS. National Academy of Sciences, 2018. https://doi.org/10.1073/pnas.1721061115.
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2018 | Published | Journal Article | IST-REx-ID: 536 |
Alistarh, Dan-Adrian, James Aspnes, Valerie King, and Jared Saia. “Communication-Efficient Randomized Consensus.” Distributed Computing. Springer, 2018. https://doi.org/10.1007/s00446-017-0315-1.
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2018 | Published | Conference Paper | IST-REx-ID: 5961
Alistarh, Dan-Adrian. “A Brief Tutorial on Distributed and Concurrent Machine Learning.” In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, 487–88. ACM Press, 2018. https://doi.org/10.1145/3212734.3212798.
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2018 | Published | Conference Paper | IST-REx-ID: 5962 |
Alistarh, Dan-Adrian, Christopher De Sa, and Nikola H Konstantinov. “The Convergence of Stochastic Gradient Descent in Asynchronous Shared Memory.” In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, 169–78. ACM Press, 2018. https://doi.org/10.1145/3212734.3212763.
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2018 | Published | Conference Paper | IST-REx-ID: 5963 |
Alistarh, Dan-Adrian, Trevor A Brown, Justin Kopinsky, and Giorgi Nadiradze. “Relaxed Schedulers Can Efficiently Parallelize Iterative Algorithms.” In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, 377–86. ACM Press, 2018. https://doi.org/10.1145/3212734.3212756.
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2018 | Published | Conference Paper | IST-REx-ID: 5964 |
Aksenov, Vitaly, Dan-Adrian Alistarh, and Petr Kuznetsov. “Brief Announcement: Performance Prediction for Coarse-Grained Locking.” In Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing - PODC ’18, 411–13. ACM Press, 2018. https://doi.org/10.1145/3212734.3212785.
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2018 | Published | Conference Paper | IST-REx-ID: 5966 |
Alistarh, Dan-Adrian, Syed Kamran Haider, Raphael Kübler, and Giorgi Nadiradze. “The Transactional Conflict Problem.” In Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures - SPAA ’18, 383–92. ACM Press, 2018. https://doi.org/10.1145/3210377.3210406.
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2018 | Published | Journal Article | IST-REx-ID: 6001
Alistarh, Dan-Adrian, William Leiserson, Alexander Matveev, and Nir Shavit. “ThreadScan: Automatic and Scalable Memory Reclamation.” ACM Transactions on Parallel Computing. Association for Computing Machinery, 2018. https://doi.org/10.1145/3201897.
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2018 | Published | Conference Paper | IST-REx-ID: 6031
Stojanov, Alen, Tyler Michael Smith, Dan-Adrian Alistarh, and Markus Puschel. “Fast Quantized Arithmetic on X86: Trading Compute for Data Movement.” In 2018 IEEE International Workshop on Signal Processing Systems, Vol. 2018–October. IEEE, 2018. https://doi.org/10.1109/SiPS.2018.8598402.
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2018 | Published | Journal Article | IST-REx-ID: 76 |
Lenzen, Christoph, and Joel Rybicki. “Near-Optimal Self-Stabilising Counting and Firing Squads.” Distributed Computing. Springer, 2018. https://doi.org/10.1007/s00446-018-0342-6.
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2018 | Published | Conference Paper | IST-REx-ID: 7812 |
Polino, Antonio, Razvan Pascanu, and Dan-Adrian Alistarh. “Model Compression via Distillation and Quantization.” In 6th International Conference on Learning Representations, 2018.
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2018 | Published | Conference Paper | IST-REx-ID: 6558 |
Alistarh, Dan-Adrian, Zeyuan Allen-Zhu, and Jerry Li. “Byzantine Stochastic Gradient Descent.” In Advances in Neural Information Processing Systems, 2018:4613–23. Neural Information Processing Systems Foundation, 2018.
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| arXiv
2018 | Published | Conference Paper | IST-REx-ID: 7116 |
Grubic, Demjan, Leo Tam, Dan-Adrian Alistarh, and Ce Zhang. “Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.” In Proceedings of the 21st International Conference on Extending Database Technology, 145–56. OpenProceedings, 2018. https://doi.org/10.5441/002/EDBT.2018.14.
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2018 | Published | Conference Paper | IST-REx-ID: 7123 |
Alistarh, Dan-Adrian, James Aspnes, and Rati Gelashvili. “Space-Optimal Majority in Population Protocols.” In Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms, 2221–39. ACM, 2018. https://doi.org/10.1137/1.9781611975031.144.
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2018 | Published | Conference Paper | IST-REx-ID: 6589 |
Alistarh, Dan-Adrian, Torsten Hoefler, Mikael Johansson, Nikola H Konstantinov, Sarit Khirirat, and Cedric Renggli. “The Convergence of Sparsified Gradient Methods.” In Advances in Neural Information Processing Systems 31, Volume 2018:5973–83. Neural Information Processing Systems Foundation, 2018.
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