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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...
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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...
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05/02/2023
Design Space Exploration and Optimization for Carbon-Efficient Extended Reality Systems
As computing hardware becomes more specialized, designing environmentall...
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04/01/2023
GreenScale: Carbon-Aware Systems for Edge Computing
To improve the environmental implications of the growing demand of compu...
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02/21/2023
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation
Deep learning recommendation systems serve personalized content under di...
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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 ...
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03/14/2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation
Personalized recommendation is an important class of deep-learning appli...
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01/25/2022
A Holistic Approach for Designing Carbon Aware Datacenters
Technology companies have been leading the way to a renewable energy tra...
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10/30/2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
This paper explores the environmental impact of the super-linear growth ...
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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...
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01/29/2021
RecSSD: Near Data Processing for Solid State Drive Based Recommendation Inference
Neural personalized recommendation models are used across a wide variety...
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10/28/2020
Chasing Carbon: The Elusive Environmental Footprint of Computing
Given recent algorithm, software, and hardware innovation, computing has...
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10/10/2020
Cross-Stack Workload Characterization of Deep Recommendation Systems
Deep learning based recommendation systems form the backbone of most per...
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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...
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12/30/2019
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing
Personalized recommendation systems leverage deep learning models and ac...
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10/02/2019
MLPerf Training Benchmark
Machine learning is experiencing an explosion of software and hardware s...
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06/06/2019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
The widespread application of deep learning has changed the landscape of...
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05/31/2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems
With the advent of deep learning, neural network-based recommendation mo...
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11/13/2017