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08/11/2023
Enhancing Network Management Using Code Generated by Large Language Models
Analyzing network topologies and communication graphs plays a crucial ro...
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05/23/2023
Mitigating the Performance Impact of Network Failures in Public Clouds
Some faults in data center networks require hours to days to repair beca...
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06/01/2022
Federated Learning under Distributed Concept Drift
Federated Learning (FL) under distributed concept drift is a largely une...
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02/02/2022
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Large-scale deployments of low Earth orbit (LEO) satellites collect mass...
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10/11/2021
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
Continuously monitoring a wide variety of performance and fault metrics ...
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02/22/2021
Interpret-able feedback for AutoML systems
Automated machine learning (AutoML) systems aim to enable training machi...
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12/19/2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Video analytics applications use edge compute servers for the analytics ...
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10/18/2019
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data
The usability and practicality of any machine learning (ML) applications...
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10/01/2019
The Non-IID Data Quagmire of Decentralized Machine Learning
Many large-scale machine learning (ML) applications need to train ML mod...
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05/08/2018
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips
This article summarizes key results of our work on experimental characte...
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05/02/2018
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance
The application resource specification--a static specification of severa...
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02/07/2018
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management
The application resource specification--a static specification of severa...
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02/01/2018
Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions
Poor DRAM technology scaling over the course of many years has caused DR...
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01/10/2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Large volumes of videos are continuously recorded from cameras deployed ...
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11/10/2017
D-SLATS: Distributed Simultaneous Localization and Time Synchronization
Through the last decade, we have witnessed a surge of Internet of Things...
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06/10/2017