Software-hardware co-design for fast and scalable training of deep learning recommendation models.
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Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing.
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Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation.
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Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020
The Architectural Implications of Facebook's DNN-based Personalized Recommendation.
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CoRR, 2019
Machine Learning at Facebook: Understanding Inference at the Edge.
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Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications.
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CoRR, 2018
Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective.
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Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018
Storage and performance optimization of long tail key access in a social network.
Proceedings of the 3rd International Workshop on Cloud Data and Platforms, 2013