Towards Disaggregated Memory Recommenders
Talha Imran
2021 Contributed Talk 9
in
Workshop: Personalized Recommendation Systems and Algorithms
in
Workshop: Personalized Recommendation Systems and Algorithms
Abstract
Recommendation systems have high memory capacity and bandwidth requirements. Disaggregated memory is an upcoming technology that can improve memory utilization, increase memory capacity and bandwidth and allow independent compute and memory scaling. We investigate the use of disaggregated memory for recommenders and we posit that this new technology can provide significant benefits for recommenders’ training and inference.
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