From post

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel., , , , , , , , , и 8 other автор(ы). Proc. VLDB Endow., 16 (12): 3848-3860 (2023)PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation., , , , , , , , , и 39 other автор(ы). ASPLOS (2), стр. 929-947. ACM, (2024)Power Consumption Analysis of Parallel Algorithms on GPUs, , , , , , и . High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014 IEEE Intl Conf on, стр. 304-311. (августа 2014)Brief Industry Paper: Evaluating Robustness of Deep Learning-Based Recommendation Systems Against Hardware Errors: A Case Study., , , , , и . RTSS, стр. 468-472. IEEE, (2023)Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations., , , , , , и . ASPLOS (3), стр. 239-252. ACM, (2024)Efficient Linear Programming for Dense CRFs., , , , , и . CVPR, стр. 2934-2942. IEEE Computer Society, (2017)Fast and Green Computing with Graphics Processing Units for Solving Sparse Linear Systems., , и . HPCC/CSS/ICESS, стр. 129-136. IEEE, (2014)Lagrangian Decomposition for Neural Network Verification., , , , , , и . UAI, том 124 из Proceedings of Machine Learning Research, стр. 370-379. AUAI Press, (2020)PyTorch RPC: Distributed Deep Learning Built on Tensor-Optimized Remote Procedure Calls., , , , , , , , , и 16 other автор(ы). MLSys, mlsys.org, (2023)Efficient Linear Programming for Dense CRFs., , , , , и . CoRR, (2016)