Recnmp: Accelerating personalized recommendation with near-memory processing
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
[PDF][PDF] RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, CJ Wu, BY Cho, M Hempstead… - firoozshahian.com
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, BY Cho, D Brooks… - 47th ACM/IEEE …, 2020 - asu.elsevierpure.com
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
[PDF][PDF] RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, CJ Wu, BY Cho, M Hempstead… - mail.shadesofsue.com
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, BY Cho, D Brooks… - 47th ACM/IEEE …, 2020 - nyuscholars.nyu.edu
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
RecNMP: accelerating personalized recommendation with near-memory processing
L Ke, U Gupta, BY Cho, D Brooks, V Chandra… - Proceedings of the …, 2020 - dl.acm.org
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
[PDF][PDF] RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, BY Cho, D Brooks, V Chandra, U Diril… - hsienhsinlee.github.io
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, BY Cho, D Brooks… - 2020 ACM/IEEE 47th …, 2020 - computer.org
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, CJ Wu, B Youngjae Cho… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
[PDF][PDF] RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
L Ke, U Gupta, CJ Wu, BY Cho, M Hempstead… - firoozshahian.com
Personalized recommendation systems leverage deep learning models and account for the
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …
majority of data center AI cycles. Their performance is dominated by memory-bound sparse …