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2020 – today
- 2024
[c23]Kevin Hsieh, Mike Wong, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula:
NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. NSDI 2024- 2023
- [c22]Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons:
Federated Learning under Distributed Concept Drift. AISTATS 2023: 5834-5853 - [c21]Sathiya Kumaran Mani
, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Eliran Azulai, Ido Frizler, Ranveer Chandra, Srikanth Kandula:
Enhancing Network Management Using Code Generated by Large Language Models. HotNets 2023: 196-204 - [c20]Sathiya Kumaran Mani, Kevin Hsieh, Santiago Segarra, Trevor Eberl, Ranveer Chandra, Eliran Azulai, Narayan Annamalai, Deepak Bansal, Srikanth Kandula:
Securing Public Clouds using Dynamic Communication Graphs. HotNets 2023: 272-279 - [c19]Mehrdad Khani Shirkoohi, Ganesh Ananthanarayanan, Kevin Hsieh, Junchen Jiang, Ravi Netravali, Yuanchao Shu, Mohammad Alizadeh, Victor Bahl:
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics. NSDI 2023: 917-932 - [i16]Pooria Namyar, Behnaz Arzani, Daniel Crankshaw, Daniel S. Berger, Kevin Hsieh, Srikanth Kandula, Ramesh Govindan:
Mitigating the Performance Impact of Network Failures in Public Clouds. CoRR abs/2305.13792 (2023) - [i15]Sathiya Kumaran Mani, Yajie Zhou, Kevin Hsieh, Santiago Segarra, Ranveer Chandra, Srikanth Kandula:
Enhancing Network Management Using Code Generated by Large Language Models. CoRR abs/2308.06261 (2023) - 2022
- [c18]Ankur Mallick, Kevin Hsieh, Behnaz Arzani, Gauri Joshi:
Matchmaker: Data Drift Mitigation in Machine Learning for Large-Scale Systems. MLSys 2022 - [c17]Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. NSDI 2022: 119-135 - [i14]Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi A. Noghabi, Salman Avestimehr, Ranveer Chandra:
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR abs/2202.01267 (2022) - [i13]Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons:
Federated Learning under Distributed Concept Drift. CoRR abs/2206.00799 (2022) - 2021
- [c16]Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. HotNets 2021: 38-44 - [c15]Behnaz Arzani, Kevin Hsieh, Haoxian Chen:
Interpretable Feedback for AutoML and a Proposal for Domain-customized AutoML for Networking. HotNets 2021: 53-60 - [i12]Behnaz Arzani, Kevin Hsieh, Haoxian Chen:
Interpret-able feedback for AutoML systems. CoRR abs/2102.11267 (2021) - [i11]Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Nattar Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula:
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. CoRR abs/2110.05554 (2021) - 2020
- [c14]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:
Benchmarking of computational error-correction methods for next-generation sequencing data. BCB 2020: 63:1 - [c13]Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. ICML 2020: 4387-4398 - [i10]Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Nikolaos Karianakis, Yuanchao Shu, Kevin Hsieh, Victor Bahl, Ion Stoica:
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. CoRR abs/2012.10557 (2020)
2010 – 2019
- 2019
- [c12]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
CoNDA: efficient cache coherence support for near-data accelerators. ISCA 2019: 629-642 - [i9]Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. CoRR abs/1910.00189 (2019) - [i8]Kevin Hsieh:
Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data. CoRR abs/1910.08663 (2019) - 2018
- [c11]Nandita Vijaykumar, Abhilasha Jain, Diptesh Majumdar, Kevin Hsieh, Gennady Pekhimenko, Eiman Ebrahimi, Nastaran Hajinazar, Phillip B. Gibbons, Onur Mutlu:
A Case for Richer Cross-Layer Abstractions: Bridging the Semantic Gap with Expressive Memory. ISCA 2018: 207-220 - [c10]Nandita Vijaykumar, Eiman Ebrahimi, Kevin Hsieh, Phillip B. Gibbons, Onur Mutlu:
The Locality Descriptor: A Holistic Cross-Layer Abstraction to Express Data Locality In GPUs. ISCA 2018: 829-842 - [c9]Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Shivaram Venkataraman, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu:
Focus: Querying Large Video Datasets with Low Latency and Low Cost. OSDI 2018: 269-286 - [i7]Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodík, Paramvir Bahl, Matthai Philipose, Phillip B. Gibbons, Onur Mutlu:
Focus: Querying Large Video Datasets with Low Latency and Low Cost. CoRR abs/1801.03493 (2018) - [i6]Saugata Ghose, Kevin Hsieh, Amirali Boroumand, Rachata Ausavarungnirun, Onur Mutlu:
Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions. CoRR abs/1802.00320 (2018) - [i5]Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu:
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management. CoRR abs/1802.02573 (2018) - [i4]Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu:
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance. CoRR abs/1805.02498 (2018) - [i3]Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu:
Flexible-Latency DRAM: Understanding and Exploiting Latency Variation in Modern DRAM Chips. CoRR abs/1805.03154 (2018) - 2017
- [j2]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory. IEEE Comput. Archit. Lett. 16(1): 46-50 (2017) - [c8]Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava:
D-SLATS: Distributed Simultaneous Localization and Time Synchronization. MobiHoc 2017: 14:1-14:10 - [c7]Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar, Dimitris Konomis, Gregory R. Ganger, Phillip B. Gibbons, Onur Mutlu:
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds. NSDI 2017: 629-647 - [c6]Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh:
Toward standardized near-data processing with unrestricted data placement for GPUs. SC 2017: 24 - [i2]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Nastaran Hajinazar, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures. CoRR abs/1706.03162 (2017) - [i1]Amr Al-Anwar, Henrique Ferraz, Kevin Hsieh, Rohit Thazhath, Paul Martin, João Pedro Hespanha, Mani B. Srivastava:
D-SLATS: Distributed Simultaneous Localization and Time Synchronization. CoRR abs/1711.03906 (2017) - 2016
- [c5]Kevin Hsieh, Samira Manabi Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu:
Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation. ICCD 2016: 25-32 - [c4]Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler:
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA 2016: 204-216 - [c3]Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Manabi Khan, Ashish Shrestha, Saugata Ghose, Adwait Jog, Phillip B. Gibbons, Onur Mutlu:
Zorua: A holistic approach to resource virtualization in GPUs. MICRO 2016: 15:1-15:14 - [c2]Kevin K. Chang, Abhijith Kashyap, Hasan Hassan, Saugata Ghose, Kevin Hsieh, Donghyuk Lee, Tianshi Li, Gennady Pekhimenko, Samira Manabi Khan, Onur Mutlu:
Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization. SIGMETRICS 2016: 323-336 - 2015
- [j1]Vivek Seshadri, Kevin Hsieh, Amirali Boroumand, Donghyuk Lee, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry:
Fast Bulk Bitwise AND and OR in DRAM. IEEE Comput. Archit. Lett. 14(2): 127-131 (2015) - 2011
- [c1]Kevin Hsieh, Radu Burlica, Bruce R. Locke:
Optical diagnostics of electrical discharge water spray reactors for chemical synthesis. IAS 2011: 1-5
Coauthor Index
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