PG
Phillip B. Gibbons
cs.DCcs.LGcs.ARcs.DSstat.MLcs.CVcs.DBcs.PFcs.SEcs.AI
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
31 papers in the corpus · 2015–2026Gutenberg: Taming Latency-Critical Cloud Services with Near-Data-Processing2609.06691v2 · Qiushi Lin, Phillip B. Gibbons, Jovan Stojkovic et al.2026 · 0 citationsarXiv
TD-Orch: Efficient Task-Data Orchestration for Distributed Systems with Application to Graph Processing2511.11843v3 · Yiwei Zhao, Qiushi Lin, Hongbo Kang et al.2025 · 0 citationsarXiv
AdaDINO: Context-Adaptive DINO-Distilled Vision Foundation Models for Efficient Open-Vocabulary Edge Inference2604.15622v3 · Yiwei Zhao, Yi Zheng, Huapeng Su et al.2026 · 0 citationsarXiv
Practical offloading for fine-tuning LLM on commodity GPU via learned sparse projectors2406.10181v2 · Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.2024 · 3 citationsarXiv
Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices2410.08326v1 · Yiwei Zhao, Ziyun Li, Win-San Khwa et al.2024 · 0 citationsarXiv
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time2305.10611v2 · Pratik Fegade, Tianqi Chen, Phillip B. Gibbons et al.2023 · 1 citationarXiv
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance2309.09212v2 · V'ictor Mayoral-Vilches, Jason Jabbour, Yu-Shun Hsiao et al.2023 · 19 citationsarXiv
Federated Learning under Distributed Concept Drift2206.00799v2 · Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang et al.2022 · 14 citationsarXiv
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines2302.03851v1 · Siyuan Chen, Pratik Fegade, Tianqi Chen et al.2023 · 0 citationsarXiv
MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations2105.08123v5 · Nandita Vijaykumar, Ataberk Olgun, Konstantinos Kanellopoulos et al.2021 · 8 citationsarXiv
PIM-tree: A Skew-resistant Index for Processing-in-Memory2211.10516v1 · Hongbo Kang, Yiwei Zhao, Guy E. Blelloch et al.2022 · 5 citationsarXiv
Spatial Locality and Granularity Change in Caching2205.14543v1 · Nathan Beckmann, Phillip B Gibbons, Charles McGuffey2022 · 0 citationsarXiv
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding2110.10221v3 · Pratik Fegade, Tianqi Chen, Phillip B. Gibbons et al.2021 · 11 citationsarXiv
Advances and Open Problems in Federated Learning1912.04977v3 · Peter Kairouz, H. Brendan McMahan, Brendan Avent et al.2019 · 6,306 citationsarXiv
Cortex: A Compiler for Recursive Deep Learning Models2011.01383v2 · Pratik Fegade, Tianqi Chen, Phillip B. Gibbons et al.2020 · 12 citationsarXiv
The Non-IID Data Quagmire of Decentralized Machine Learning1910.00189v2 · Kevin Hsieh, Amar Phanishayee, Onur Mutlu et al.2019 · 88 citationsInternational Conference on Machine Learning (ICML), 2020
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift2003.06508v2 · Ashraf Tahmasbi, Ellango Jothimurugesan, Srikanta Tirthapura et al.2020 · 3 citationsarXiv
Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs1910.12310v2 · Laxman Dhulipala, Charlie McGuffey, Hongbo Kang et al.2019 · 2 citationsarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server.25400488 · Ho, Qirong, Cipar, James, Cui, Henggang et al.2019 · 547 citationsAdvances in neural information processing systems. 2013;2013:1223-1231
The Parallel Persistent Memory Model1805.05580v2 · Guy E. Blelloch, Phillip B. Gibbons, Yan Gu et al.2018 · 24 citationsarXiv
PipeDream: Fast and Efficient Pipeline Parallel DNN Training1806.03377v1 · Aaron Harlap, Deepak Narayanan, Amar Phanishayee et al.2018 · 97 citationsarXiv
RowClone: Accelerating Data Movement and Initialization Using DRAM1805.03502v1 · Vivek Seshadri, Yoongu Kim, Chris Fallin et al.2018 · 12 citationsarXiv
Decoupling GPU Programming Models from Resource Management for Enhanced Programming Ease, Portability, and Performance1805.02498v1 · Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko et al.2018 · 0 citationsarXiv
MLtuner: System Support for Automatic Machine Learning Tuning1803.07445v1 · Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons2018 · 5 citationsarXiv
Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management1802.02573v1 · Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko et al.2018 · 0 citationsarXiv
Focus: Querying Large Video Datasets with Low Latency and Low Cost1801.03493v1 · Kevin Hsieh, Ganesh Ananthanarayanan, Peter Bodik et al.2018 · 95 citationsarXiv
Implicit Decomposition for Write-Efficient Connectivity Algorithms1710.02637v1 · Naama Ben-David, Guy E. Blelloch, Jeremy T. Fineman et al.2017 · 19 citationsarXiv
Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAM1611.09988v1 · Vivek Seshadri, Donghyuk Lee, Thomas Mullins et al.2016 · 54 citationsarXiv
Efficient Algorithms with Asymmetric Read and Write Costs1511.01038v3 · Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons et al.2015 · 26 citationsarXiv
Sorting with Asymmetric Read and Write Costs1603.03505v1 · Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons et al.2016 · 69 citationsarXiv
Career total: 341 works. 31 are in this corpus.
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