Kevin Hsieh

According to our database, Kevin Hsieh authored at least 36 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023

Enhancing Network Management Using Code Generated by Large Language Models.

Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula

CoRR, 2023

Mitigating the Performance Impact of Network Failures in Public Clouds.

Pooria Namyar, Behnaz Arzani, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan

CoRR, 2023

RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics.

Mehrdad Khani Shirkoohi, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 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

Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 2023

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

Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 2023

Federated Learning under Distributed Concept Drift.

Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations.

Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra

CoRR, 2022

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, Paramvir Bahl, Ion Stoica

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

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

Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi

Proceedings of Machine Learning and Systems 2022, 2022

2021

Interpret-able feedback for AutoML systems.

Behnaz Arzani, Kevin Hsieh, Haoxian Chen

CoRR, 2021

Towards a Cost vs. Quality Sweet Spot for Monitoring Networks.

Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula

Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021

Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking.

Behnaz Arzani, Kevin Hsieh, Haoxian Chen

Proceedings of the HotNets '21: The 20th ACM Workshop on Hot Topics in Networks, 2021

2020

The Non-IID Data Quagmire of Decentralized Machine Learning.

Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons

Proceedings of the 37th International Conference on Machine Learning, 2020

Benchmarking of computational error-correction methods for next-generation sequencing data.

Keith Mitchell, Jaqueline J. Brito, Igor Mandric, Qiaozhen Wu, Sergey Knyazev, Sei Chang, Lana S. Martin, Aaron Karlsberg, Ekaterina Gerasimov, Russell Littman, Brian L. Hill, Nicholas C. Wu, Harry (Taegyun) Yang, Kevin Hsieh, Linus Chen, Eli Littman, Taylor Shabani, German Enik, Douglas Yao, Ren Sun, Jan Schroeder, Eleazar Eskin, Alex Zelikovsky, Pavel Skums, Mihai Pop, Serghei Mangul

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data.

Kevin Hsieh

CoRR, 2019

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

Proceedings of the 46th International Symposium on Computer Architecture, 2019

2018

Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips.

Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu

CoRR, 2018

Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance.

Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu

CoRR, 2018

Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management.

Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu

CoRR, 2018

Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions.

Saugata Ghose, Kevin Hsieh, Amirali Boroumand, Rachata Ausavarungnirun, Onur Mutlu

CoRR, 2018

Focus: Querying Large Video Datasets with Low Latency and Low Cost.

Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu

CoRR, 2018

Focus: Querying Large Video Datasets with Low Latency and Low Cost.

Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 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

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 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

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

2017

LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures.

Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Nastaran Hajinazar, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu

CoRR, 2017

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 Comput. Archit. Lett., 2017

Toward standardized near-data processing with unrestricted data placement for GPUs.

Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

D-SLATS: Distributed Simultaneous Localization and Time Synchronization.

Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava

Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

2016

Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization.

Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu

Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Zorua: A holistic approach to resource virtualization in GPUs.

Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 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

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation.

Kevin Hsieh, Samira Manabi Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu

Proceedings of the 34th IEEE International Conference on Computer Design, 2016

2015

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 Comput. Archit. Lett., 2015

2011

Optical diagnostics of electrical discharge water spray reactors for chemical synthesis.

Kevin Hsieh, Radu Burlica, Bruce R. Locke

Proceedings of the 2011 IEEE Industry Applications Society Annual Meeting, 2011