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121 Publications


2018 | Conference Paper | IST-REx-ID: 7116 | OA
D. Grubic, L. Tam, D.-A. Alistarh, and C. 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, Vienna, Austria, 2018, pp. 145–156.
[Published Version] View | Files available | DOI
 

2018 | Journal Article | IST-REx-ID: 6001
D.-A. Alistarh, W. Leiserson, A. Matveev, and N. Shavit, “ThreadScan: Automatic and scalable memory reclamation,” ACM Transactions on Parallel Computing, vol. 4, no. 4. Association for Computing Machinery, 2018.
View | Files available | DOI
 

2018 | Conference Paper | IST-REx-ID: 7812 | OA
A. Polino, R. Pascanu, and D.-A. Alistarh, “Model compression via distillation and quantization,” in 6th International Conference on Learning Representations, Vancouver, Canada, 2018.
[Published Version] View | Files available | arXiv
 

2018 | Conference Paper | IST-REx-ID: 397
M. Arbel Raviv and T. A. Brown, “Harnessing epoch-based reclamation for efficient range queries,” presented at the PPoPP: Principles and Practice of Parallel Programming, Vienna, Austria, 2018, vol. 53, no. 1, pp. 14–27.
View | DOI | WoS
 

2018 | Journal Article | IST-REx-ID: 43 | OA
J. Rybicki, E. Kisdi, and J. Anttila, “Model of bacterial toxin-dependent pathogenesis explains infective dose,” PNAS, vol. 115, no. 42. National Academy of Sciences, pp. 10690–10695, 2018.
[Submitted Version] View | Files available | DOI | WoS
 

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