From post

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment.

, , , , , и . ECCV (37), том 13697 из Lecture Notes in Computer Science, стр. 715-731. Springer, (2022)

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

NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres., , , , , , и . CoNEXT, стр. 249-262. ACM, (2014)Optimizing Network Performance in Distributed Machine Learning., , и . HotCloud, USENIX Association, (2015)Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo., , , , и . NSDI, стр. 389-405. USENIX Association, (2021)Towards efficient big data processing in data centres.. Imperial College London, UK, (2017)British Library, EThOS.GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models., , , , , , , и . CoRR, (2023)Towards a Network Marketplace in a Cloud., , , , , и . HotCloud, USENIX Association, (2016)Supporting application-specific in-network processing in data centres., , , , , и . SIGCOMM, стр. 519-520. ACM, (2013)KungFu: Making Training in Distributed Machine Learning Adaptive., , , , , и . OSDI, стр. 937-954. USENIX Association, (2020)MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment., , , , , и . ECCV (37), том 13697 из Lecture Notes in Computer Science, стр. 715-731. Springer, (2022)FLICK: Developing and Running Application-Specific Network Services., , , , , , , , , и 7 other автор(ы). USENIX ATC, стр. 1-14. USENIX Association, (2016)