Udit Gupta | DeepAI

AI Chat

Featured Co-authors

Meng Li
82 publications
Alexander M. Rush
77 publications
Xiaodong Wang
62 publications
Matei Zaharia
58 publications
Xuan Zhang
56 publications
Vijay Janapa Reddi
50 publications
Vikas Chandra
43 publications
Carole-Jean Wu
43 publications
Chuan Guo
42 publications
David Brooks
41 publications
Gu-Yeon Wei
37 publications

∙ 09/06/2023

GPT-InvestAR: Enhancing Stock Investment Strategies through Annual Report Analysis with Large Language Models

Annual Reports of publicly listed companies contain vital information ab...

1 Udit Gupta, et al. ∙

∙ 06/05/2023

Information Flow Control in Machine Learning through Modular Model Architecture

In today's machine learning (ML) models, any part of the training data c...

0 Trishita Tiwari, et al. ∙

∙ 05/02/2023

Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems

As computing hardware becomes more specialized, designing environmentall...

0 Mariam Elgamal, et al. ∙

∙ 04/01/2023

GreenScale: Carbon-Aware Systems for Edge Computing

To improve the environmental implications of the growing demand of compu...

0 Young Geun Kim, et al. ∙

∙ 02/21/2023

MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation

Deep learning recommendation systems serve personalized content under di...

0 Samuel Hsia, et al. ∙

∙ 01/26/2023

GPU-based Private Information Retrieval for On-Device Machine Learning Inference

On-device machine learning (ML) inference can enable the use of private ...

0 Maximilian Lam, et al. ∙

∙ 03/14/2022

Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation

Personalized recommendation is an important class of deep-learning appli...

0 Liu Ke, et al. ∙

∙ 01/25/2022

A Holistic Approach for Designing Carbon Aware Datacenters

Technology companies have been leading the way to a renewable energy tra...

0 Bilge Acun, et al. ∙

∙ 10/30/2021

Sustainable AI: Environmental Implications, Challenges and Opportunities

This paper explores the environmental impact of the super-linear growth ...

25 Carole-Jean Wu, et al. ∙

∙ 05/18/2021

RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance

Deep learning recommendation systems must provide high quality, personal...

0 Udit Gupta, et al. ∙

∙ 01/29/2021

RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference

Neural personalized recommendation models are used across a wide variety...

0 Mark Wilkening, et al. ∙

∙ 10/28/2020

Chasing Carbon: The Elusive Environmental Footprint of Computing

Given recent algorithm, software, and hardware innovation, computing has...

0 Udit Gupta, et al. ∙

∙ 10/10/2020

Cross-Stack Workload Characterization of Deep Recommendation Systems

Deep learning based recommendation systems form the backbone of most per...

0 Samuel Hsia, et al. ∙

∙ 01/08/2020

DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference

Neural personalized recommendation is the corner-stone of a wide collect...

0 Udit Gupta, et al. ∙

∙ 12/30/2019

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Personalized recommendation systems leverage deep learning models and ac...

0 Liu Ke, et al. ∙

∙ 10/02/2019

MLPerf Training Benchmark

Machine learning is experiencing an explosion of software and hardware s...

6 Peter Mattson, et al. ∙

∙ 06/06/2019

The Architectural Implications of Facebook's DNN-based Personalized Recommendation

The widespread application of deep learning has changed the landscape of...

0 Udit Gupta, et al. ∙

∙ 05/31/2019

Deep Learning Recommendation Model for Personalization and Recommendation Systems

With the advent of deep learning, neural network-based recommendation mo...

0 Maxim Naumov, et al. ∙

∙ 11/13/2017

Weightless: Lossy Weight Encoding For Deep Neural Network Compression

The large memory requirements of deep neural networks limit their deploy...

0 Brandon Reagen, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world