Kevin Hsieh

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

Preprint

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

Preprint

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

Author's Version Publication Github

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

Publication Preprint Github

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

Publication

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)

Publication Github

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

Publication Project

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

Publication Github Project Project

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

Published by Microsoft

Publication Project

Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems

Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi

MLSys | January 2022

Publication

Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking

Behnaz Arzani, Kevin Hsieh, Haoxian Chen

HotNets 2021 | November 2021

Publication

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

Publication Author's Version

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

Published by Microsoft

arXiv:2012.10557

Publication Project Project

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

PDF Publication Project

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

Publication

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

Publication Project Project

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

Publication

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

Publication

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

Published by Microsoft

arXiv:1801.03493

Publication Project

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

Publication

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

Publication

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

Publication

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

Publication

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, Vol 16(1)

Publication

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

Publication

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

Publication

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, Vol 14(2)

Publication

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

Preprint

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

Preprint

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

Author's Version Publication Github

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

Publication

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

Publication Preprint Github

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)

Publication Github

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

Publication Project

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

Publication Github Project Project

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

Published by Microsoft

Publication Project

Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems

Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi

MLSys | January 2022

Publication

Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking

Behnaz Arzani, Kevin Hsieh, Haoxian Chen

HotNets 2021 | November 2021

Publication

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

Publication Author's Version

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

Published by Microsoft

arXiv:2012.10557

Publication Project Project

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

PDF Publication Project

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

Publication Project Project

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

Publication

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

Publication

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

Published by Microsoft

arXiv:1801.03493

Publication Project

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication Preprint Github

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)

Publication Github

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

Published by Microsoft

Publication Project

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

PDF Publication Project

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

Publication

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

Publication Project

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

Published by Microsoft

arXiv:2012.10557

Publication Project Project

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

Publication Project Project

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

Published by Microsoft

arXiv:1801.03493

Publication Project

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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, Vol 16(1)

Publication

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

Publication

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, Vol 14(2)

Publication

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

Preprint

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

Preprint

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

Author's Version Publication Github

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

Publication

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

Publication Preprint Github

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)

Publication Github

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

Publication Project

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

Publication Github Project Project

Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems

Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi

MLSys | January 2022

Publication

Interpretable Feedback for AutoML and a Proposal forDomain-customized AutoML for Networking

Behnaz Arzani, Kevin Hsieh, Haoxian Chen

HotNets 2021 | November 2021

Publication

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

Publication Author's Version

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

PDF Publication Project

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

Publication

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

Publication Project Project

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Publication

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

Published by Microsoft

Publication Project

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

Published by Microsoft

arXiv:2012.10557

Publication Project Project

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

Published by Microsoft

arXiv:1801.03493

Publication Project

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, Vol 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, Vol 14(2)

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