Supporting Massive DLRM Inference Through Software Defined Memory

no code implementations • 21 Oct 2021 • Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Valmiki Rampersad, Jens Axboe, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov, Chris Peterson, Mikhail Smelyanskiy, Vijay Rao

Deep Learning Recommendation Models (DLRM) are widespread, account for a considerable data center footprint, and grow by more than 1. 5x per year.

Feature Forwarding for Efficient Single Image Dehazing

1 code implementation • 19 Apr 2019 • Peter Morales, Tzofi Klinghoffer, Seung Jae Lee

Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems.

Decision Making Image Cropping +3