Presentations

Deep learning recommendation systems must provide high quality, personalized content under strict tail-latency targets and high system loads. This paper presents RecPipe, a system to jointly optimize recommendation quality and inference performance...

Given recent algorithm, software, and hardware innovation, computing has enabled a plethora of new applications. As computing becomes increasingly ubiquitous, however, so does its environmental impact. This paper brings the issue to the attention of...

This work presents a 16nm SoC that executes a full speech-enhancing ASR pipeline in hardware, with the following key contributions: 1) unsupervised speech denoising using a Markov Source Separation Engine (MSSE) and 2) a reconfigurable accelerator...

Authors: Samuel Hsia, Udit Gupta, Mark Wilkening, Carole-Jean Wu , Gu-Yeon Wei, David Brooks

Abstract: Deep learning based recommendation systems form the backbone of most personalized cloud services. Though the computer architecture community has...