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121 Publications
2018 | 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 | 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 | 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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| arXiv
2018 | 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 | 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 | 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 | 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 | 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 | 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 | 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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