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Xiaodong Wang
Xiaodong Wang
Research Scientist, Facebook Inc.
Adresse e-mail validée de cornell.edu - Page d'accueil
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Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
K Hazelwood, S Bird, D Brooks, S Chintala, U Diril, D Dzhulgakov, ...
High Performance Computer Architecture (HPCA), 2018 IEEE International …, 2018
5852018
Deep Learning Recommendation Model for Personalization and Recommendation Systems
M Naumov, D Mudigere, HJM Shi, J Huang, N Sundaraman, J Park, ...
arXiv preprint arXiv:1906.00091, 2019
4332019
Machine Learning at Facebook: Understanding Inference at the Edge
CJ Wu, D Brooks, K Chen, D Chen, S Choudhury, M Dukhan, ...
2019 IEEE International Symposium on High Performance Computer Architecture …, 2019
4172019
The architectural implications of Facebook's DNN-based personalized recommendation
U Gupta, CJ Wu, X Wang, M Naumov, B Reagen, D Brooks, B Cottel, ...
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
2132020
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ...
arXiv preprint arXiv:1811.09886, 2018
1652018
Recnmp: Accelerating personalized recommendation with near-memory processing
L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril, A Firoozshahian, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
1292020
Deeprecsys: A system for optimizing end-to-end at-scale neural recommendation inference
U Gupta, S Hsia, V Saraph, X Wang, B Reagen, GY Wei, HHS Lee, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
1212020
SWAP: Effective fine-grain management of shared last-level caches with minimum hardware support
X Wang, S Chen, J Setter, JF Martínez
2017 IEEE International Symposium on High Performance Computer Architecture …, 2017
632017
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems
M Naumov, J Kim, D Mudigere, S Sridharan, X Wang, W Zhao, S Yilmaz, ...
arXiv preprint arXiv:2003.09518, 2020
592020
XChange: A market-based approach to scalable dynamic multi-resource allocation in multicore architectures
X Wang, JF Martínez
2015 IEEE 21st International Symposium on High Performance Computer …, 2015
592015
Understanding training efficiency of deep learning recommendation models at scale
B Acun, M Murphy, X Wang, J Nie, CJ Wu, K Hazelwood
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
512021
ReBudget: Trading Off Efficiency vs. Fairness in Market-Based Multicore Resource Allocation via Runtime Budget Reassignment
X Wang, JF Martínez
ACM SIGPLAN Notices 51 (4), 19-32, 2016
362016
Global built-in self-repair for 3D memories with redundancy sharing and parallel testing
X Wang, D Vasudevan, HHS Lee
2011 IEEE International 3D Systems Integration Conference (3DIC), 2011 IEEE …, 2012
232012
Software-hardware co-design for fast and scalable training of deep learning recommendation models
D Mudigere, Y Hao, J Huang, Z Jia, A Tulloch, S Sridharan, X Liu, ...
Proceedings of the 49th Annual International Symposium on Computer …, 2022
222022
Exploiting parallelism opportunities with deep learning frameworks
YE Wang, CJ Wu, X Wang, K Hazelwood, D Brooks
ACM Transactions on Architecture and Code Optimization (TACO) 18 (1), 1-23, 2020
222020
Scalable dynamic multi-resource allocation in multicore systems
X Wang
Cornell University, 2017
2017
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