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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...
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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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11/07/2022
DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems
Over the past decade, machine learning model complexity has grown at an ...
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08/17/2022
Understanding Scaling Laws for Recommendation Models
Scale has been a major driving force in improving machine learning perfo...
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07/20/2022
DataPerf: Benchmarks for Data-Centric AI Development
Machine learning (ML) research has generally focused on models, while th...
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03/17/2022
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and ...
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03/17/2022
Time and the Value of Data
Managers often believe that collecting more data will continually improv...
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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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09/03/2019
Beyond Human-Level Accuracy: Computational Challenges in Deep Learning
Deep learning (DL) research yields accuracy and product improvements fro...
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06/18/2019
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning
Porting code from CPU to GPU is costly and time-consuming; Unless much t...
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12/01/2017