MeshAgent: Enabling Reliable Network Management with Large Language Models
Yajie Zhou, Kevin Hsieh, Sathiya Kumaran Mani, Srikanth Kandula, Zaoxing Liu
SIGMETRICS'26 | December 2025
Kevin Hsieh
Principal Researcher
出版物
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Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
Sathiya Kumaran Mani*, Kevin Hsieh*, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
Symposium on Networked Systems Design and Implementation (NSDI) | April 2025
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Enhancing Network Failure Mitigation with Performance-Aware Ranking
Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani
NSDI '25 | February 2025
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NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
Kevin Hsieh*, Mike Wong*, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
USENIX Symposium on Networked Systems Design and Implementation (NSDI) | April 2024
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Enhancing Network Management Using Code Generated by Large Language Models
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
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Securing Public Clouds using Dynamic Communication Graphs
Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
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Federated Learning under Distributed Concept Drift
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
Selected as Oral Presentation (Top 2% Submissions)
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RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
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FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
MSR-TR-2022-30 | February 2022
Microsoft による投稿
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Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
MLSys | January 2022
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Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
HotNets 2021 | November 2021
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Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
HotNets 2021 | November 2021
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Microsoft による投稿
arXiv:2012.10557
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The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
International Conference on Machine Learning (ICML 2020) | July 2020
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CoNDA: Efficient Cache Coherence Support for Near-Data Accelerators
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2019
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Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
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A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
-
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
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Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Microsoft による投稿
arXiv:1801.03493
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Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
-
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
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Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
International Conference on Computer Design (ICCD) | October 2016
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Zorua: A Holistic Approach to Resource Virtualization in GPUs
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
International Symposium on Microarchitecture (MICRO) | October 2016
-
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
IEEE Computer Architecture Letters (CAL) | June 2016, 巻16(1)
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Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
International Symposium on Computer Architecture (ISCA) | June 2016
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Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Samira Khan, Kevin Hsieh, Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Tianshi Li, Onur Mutlu
International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) | June 2016
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Fast Bulk Bitwise AND and OR in DRAM
Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
IEEE Computer Architecture Letters (CAL) | April 2015, 巻14(2)
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-
-
MeshAgent: Enabling Reliable Network Management with Large Language Models
Yajie Zhou, Kevin Hsieh, Sathiya Kumaran Mani, Srikanth Kandula, Zaoxing Liu
SIGMETRICS'26 | December 2025
-
Enhancing Network Management Using Code Generated by Large Language Models
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
-
Federated Learning under Distributed Concept Drift
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
Selected as Oral Presentation (Top 2% Submissions)
-
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
MSR-TR-2022-30 | February 2022
Microsoft による投稿
-
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
International Conference on Machine Learning (ICML 2020) | July 2020
-
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
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-
-
MeshAgent: Enabling Reliable Network Management with Large Language Models
Yajie Zhou, Kevin Hsieh, Sathiya Kumaran Mani, Srikanth Kandula, Zaoxing Liu
SIGMETRICS'26 | December 2025
-
Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
Sathiya Kumaran Mani*, Kevin Hsieh*, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
Symposium on Networked Systems Design and Implementation (NSDI) | April 2025
-
Enhancing Network Failure Mitigation with Performance-Aware Ranking
Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani
NSDI '25 | February 2025
-
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
Kevin Hsieh*, Mike Wong*, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
USENIX Symposium on Networked Systems Design and Implementation (NSDI) | April 2024
-
Securing Public Clouds using Dynamic Communication Graphs
Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
-
Enhancing Network Management Using Code Generated by Large Language Models
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
-
Federated Learning under Distributed Concept Drift
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
Selected as Oral Presentation (Top 2% Submissions)
-
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
-
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
MSR-TR-2022-30 | February 2022
Microsoft による投稿
-
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
MLSys | January 2022
-
Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
HotNets 2021 | November 2021
-
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
HotNets 2021 | November 2021
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Microsoft による投稿
arXiv:2012.10557
-
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
International Conference on Machine Learning (ICML 2020) | July 2020
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
-
A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Microsoft による投稿
arXiv:1801.03493
-
Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
-
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
-
Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
International Conference on Computer Design (ICCD) | October 2016
-
Zorua: A Holistic Approach to Resource Virtualization in GPUs
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
International Symposium on Microarchitecture (MICRO) | October 2016
-
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
International Symposium on Computer Architecture (ISCA) | June 2016
-
-
-
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Microsoft による投稿
arXiv:2012.10557
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Microsoft による投稿
arXiv:1801.03493
-
-
-
CoNDA: Efficient Cache Coherence Support for Near-Data Accelerators
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2019
-
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
-
A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
-
Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
-
Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
International Conference on Computer Design (ICCD) | October 2016
-
Zorua: A Holistic Approach to Resource Virtualization in GPUs
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
International Symposium on Microarchitecture (MICRO) | October 2016
-
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Samira Khan, Kevin Hsieh, Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Tianshi Li, Onur Mutlu
International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) | June 2016
-
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
IEEE Computer Architecture Letters (CAL) | June 2016, 巻16(1)
-
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
International Symposium on Computer Architecture (ISCA) | June 2016
-
Fast Bulk Bitwise AND and OR in DRAM
Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
IEEE Computer Architecture Letters (CAL) | April 2015, 巻14(2)
-
-
-
MeshAgent: Enabling Reliable Network Management with Large Language Models
Yajie Zhou, Kevin Hsieh, Sathiya Kumaran Mani, Srikanth Kandula, Zaoxing Liu
SIGMETRICS'26 | December 2025
-
Securing Public Cloud Networks with Efficient Role-based Micro-Segmentation
Sathiya Kumaran Mani*, Kevin Hsieh*, Santiago Segarra, Ranveer Chandra, Yajie Zhou, Srikanth Kandula
Symposium on Networked Systems Design and Implementation (NSDI) | April 2025
-
Enhancing Network Failure Mitigation with Performance-Aware Ranking
Pooria Namyar, Arvin Ghavidel, Daniel Crankshaw, Daniel Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan, Behnaz Arzani
NSDI '25 | February 2025
-
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
Kevin Hsieh*, Mike Wong*, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula
USENIX Symposium on Networked Systems Design and Implementation (NSDI) | April 2024
-
Securing Public Clouds using Dynamic Communication Graphs
Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula
ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
-
Enhancing Network Management Using Code Generated by Large Language Models
Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula
ACM Workshop on Hot Topics in Networks (HotNets) | November 2023
-
Federated Learning under Distributed Concept Drift
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
International Conference on Artificial Intelligence and Statistics (AISTATS) | April 2023
Selected as Oral Presentation (Top 2% Submissions)
-
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
Mehrdad Khani , Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang , Ravi Netravali , Yuanchao Shu, Mohammad Alizadeh, Victor Bahl
USENIX NSDI | April 2023
-
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj , Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Victor Bahl, Ion Stoica
USENIX NSDI | April 2022
-
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems
Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi
MLSys | January 2022
-
Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking
Behnaz Arzani, Kevin Hsieh, Haoxian Chen
HotNets 2021 | November 2021
-
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
HotNets 2021 | November 2021
-
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip Gibbons
International Conference on Machine Learning (ICML 2020) | July 2020
-
CoNDA: Efficient Cache Coherence Support for Near-Data Accelerators
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2019
-
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Victor Bahl, Matthai Philipose, Phillip B. Gibbons , Onur Mutlu
USENIX OSDI | October 2018
-
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality in GPUs
Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
-
A Case for Richer Cross-layer Abstractions: Bridging the Semantic Gap with Expressive Memory
Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu
International Symposium on Computer Architecture (ISCA) | June 2018
-
Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
Gwangsun Kim, Niladrish Chatterjee, Mike O’Connor, Kevin Hsieh
International Conference for High Performance Computing, Networking, Storage and Analysis (SC) | November 2017
-
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu
Symposium on Networked Systems Design and Implementation (NSDI) | March 2017
-
Accelerating Pointer Chasing in 3D-Stacked Memory: Challenges, Mechanisms, Evaluation
Kevin Hsieh, Samira Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu
International Conference on Computer Design (ICCD) | October 2016
-
Zorua: A Holistic Approach to Resource Virtualization in GPUs
Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu
International Symposium on Microarchitecture (MICRO) | October 2016
-
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization
Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Samira Khan, Kevin Hsieh, Donghyuk Lee, Saugata Ghose, Gennady Pekhimenko, Tianshi Li, Onur Mutlu
International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) | June 2016
-
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
International Symposium on Computer Architecture (ISCA) | June 2016
-
-
-
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra
MSR-TR-2022-30 | February 2022
Microsoft による投稿
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers (TR)
Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica
MSR-TR-2020-44 | December 2020
Microsoft による投稿
arXiv:2012.10557
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Focus: Querying Large Video Datasets with Low Latency and Low Cost [Tech Report]
Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Victor Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu
MSR-TR-2018-1 | January 2018
Microsoft による投稿
arXiv:1801.03493
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LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory
Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu
IEEE Computer Architecture Letters (CAL) | June 2016, 巻16(1)
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Fast Bulk Bitwise AND and OR in DRAM
Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry
IEEE Computer Architecture Letters (CAL) | April 2015, 巻14(2)
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