research
∙
03/10/2023
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
Mixture-of-Experts (MoE) models have gained popularity in achieving stat...
share
research
∙
12/12/2022
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems
Online personalized recommendation services are generally hosted in the ...
research
∙
12/02/2022
DisaggRec: Architecting Disaggregated Systems for Large-Scale Personalized Recommendation
Deep learning-based personalized recommendation systems are widely used ...
research
∙
03/14/2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation
Personalized recommendation is an important class of deep-learning appli...
research
∙
12/30/2019
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Personalized recommendation systems leverage deep learning models and ac...
research
∙
11/28/2019
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices
Recent works propose neural network- (NN-) inspired analog-to-digital co...
research
∙
05/21/2018