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ORCIDPhillip B. Gibbons
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): Intel Labs, Pittsburgh, PA, USA
- award (2019): ACM Paris Kanellakis Theory and Practice Award
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2020 – today
- 2024
[c174]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. ICRA 2024: 8288-8297- [c173]Mohammad Bakhshalipour, Phillip B. Gibbons:
Tartan: Microarchitecting a Robotic Processor. ISCA 2024: 548-565 - [c172]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
ACROBAT: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time. MLSys 2024 - [c171]Mohammad Bakhshalipour
, Phillip B. Gibbons:
Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware. SIGMETRICS/Performance (Abstracts) 2024: 25-26 - [e9]Phillip B. Gibbons, Gennady Pekhimenko, Christopher De Sa:
Proceedings of the Seventh Annual Conference on Machine Learning and Systems, MLSys 2024, Santa Clara, CA, USA, May 13-16, 2024. mlsys.org 2024 [contents] - [i27]Siyuan Chen, Zelong Guan, Yudong Liu, Phillip B. Gibbons:
Practical offloading for fine-tuning LLM on commodity GPU via learned subspace projectors. CoRR abs/2406.10181 (2024) - [i26]Yiwei Zhao, Ziyun Li, Win-San Khwa, Xiaoyu Sun, Sai Qian Zhang, Syed Shakib Sarwar, Kleber Hugo Stangherlin, Yi-Lun Lu, Jorge Tomás Gómez, Jae-Sun Seo, Phillip B. Gibbons, Barbara De Salvo, Chiao Liu:
Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices. CoRR abs/2410.08326 (2024) - 2023
- [j47]Mohammad Bakhshalipour, Phillip B. Gibbons:
Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware. Proc. ACM Meas. Anal. Comput. Syst. 7(3): 43:1-43:31 (2023) - [c170]Mohammad Bakhshalipour, Mohamad Qadri, Dominic Guri, Seyed Borna Ehsani, Maxim Likhachev, Phillip B. Gibbons:
Runahead A*: Speculative Parallelism for A* with Slow Expansions. ICAPS 2023: 31-41 - [c169]Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons:
Federated Learning under Distributed Concept Drift. AISTATS 2023: 5834-5853 - [c168]Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey, Phillip B. Gibbons:
PIM-tree: A Skew-resistant Index for Processing-in-Memory (Abstract). HOPC@SPAA 2023: 13-14 - [c167]Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines. ICML 2023: 4514-4528 - [c166]Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey, Phillip B. Gibbons:
PIM-trie: A Skew-resistant Trie for Processing-in-Memory. SPAA 2023: 1-14 - [i25]Siyuan Chen, Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines. CoRR abs/2302.03851 (2023) - [i24]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time. CoRR abs/2305.10611 (2023) - [i23]Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Alejandra Martínez-Fariña, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi:
RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. CoRR abs/2309.09212 (2023) - 2022
- [j46]Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey, Phillip B. Gibbons:
PIM-tree: A Skew-resistant Index for Processing-in-Memory. Proc. VLDB Endow. 16(4): 946-958 (2022) - [j45]Nandita Vijaykumar, Ataberk Olgun, Konstantinos Kanellopoulos, F. Nisa Bostanci, Hasan Hassan, Mehrshad Lotfi, Phillip B. Gibbons, Onur Mutlu:
MetaSys: A Practical Open-source Metadata Management System to Implement and Evaluate Cross-layer Optimizations. ACM Trans. Archit. Code Optim. 19(2): 26:1-26:29 (2022) - [c165]Mohammad Bakhshalipour, Seyed Borna Ehsani, Mohamad Qadri, Dominic Guri, Maxim Likhachev, Phillip B. Gibbons:
RACOD: algorithm/hardware co-design for mobile robot path planning. ISCA 2022: 597-609 - [c164]Mohammad Bakhshalipour, Maxim Likhachev, Phillip B. Gibbons:
RTRBench: A Benchmark Suite for Real-Time Robotics. ISPASS 2022: 175-186 - [c163]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. MLSys 2022 - [c162]Nathan Beckmann, Phillip B. Gibbons, Charles McGuffey:
Brief Announcement: Spatial Locality and Granularity Change in Caching. SPAA 2022: 173-175 - [i22]Nathan Beckmann, Phillip B. Gibbons, Charles McGuffey:
Spatial Locality and Granularity Change in Caching. CoRR abs/2205.14543 (2022) - [i21]Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons:
Federated Learning under Distributed Concept Drift. CoRR abs/2206.00799 (2022) - [i20]Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey, Phillip B. Gibbons:
PIM-tree: A Skew-resistant Index for Processing-in-Memory. CoRR abs/2211.10516 (2022) - 2021
- [j44]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [c161]Guy E. Blelloch, Laxman Dhulipala, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun:
The Read-Only Semi-External Model. APOCS 2021: 70-84 - [c160]Daming D. Chen, Wen Shih Lim, Mohammad Bakhshalipour, Phillip B. Gibbons, James C. Hoe, Bryan Parno:
HerQules: securing programs via hardware-enforced message queues. ASPLOS 2021: 773-788 - [c159]Ashraf Tahmasbi, Ellango Jothimurugesan, Srikanta Tirthapura, Phillip B. Gibbons:
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift. ICML 2021: 10054-10064 - [c158]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
Cortex: A Compiler for Recursive Deep Learning Models. MLSys 2021 - [c157]Hongbo Kang, Phillip B. Gibbons, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey:
The Processing-in-Memory Model. SPAA 2021: 295-306 - [c156]Nathan Beckmann, Phillip B. Gibbons, Charles McGuffey:
Block-Granularity-Aware Caching. SPAA 2021: 414-416 - [i19]Nandita Vijaykumar, Ataberk Olgun, Konstantinos Kanellopoulos, Nisa Bostanci, Hasan Hassan, Mehrshad Lotfi, Phillip B. Gibbons, Onur Mutlu:
MetaSys: A Practical Open-Source Metadata Management System to Implement and Evaluate Cross-Layer Optimizations. CoRR abs/2105.08123 (2021) - [i18]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. CoRR abs/2110.10221 (2021) - 2020
- [j43]Laxman Dhulipala, Charles McGuffey, Hongbo Kang, Yan Gu, Guy E. Blelloch, Phillip B. Gibbons, Julian Shun:
Sage: Parallel Semi-Asymmetric Graph Algorithms for NVRAMs. Proc. VLDB Endow. 13(9): 1598-1613 (2020) - [c155]Nathan Beckmann, Phillip B. Gibbons, Bernhard Haeupler, Charles McGuffey:
Writeback-Aware Caching. APOCS 2020: 1-15 - [c154]Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. ICML 2020: 4387-4398 - [c153]Daming D. Chen, Phillip B. Gibbons, Todd C. Mowry:
TardisTM: incremental repair for transactional memory. PMAM@PPoPP 2020: 3:1-3:10 - [i17]Ashraf Tahmasbi, Ellango Jothimurugesan, Srikanta Tirthapura, Phillip B. Gibbons:
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift. CoRR abs/2003.06508 (2020) - [i16]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
Cortex: A Compiler for Recursive Deep Learning Models. CoRR abs/2011.01383 (2020)
2010 – 2019
- 2019
- [c152]Jinliang Wei, Garth A. Gibson, Phillip B. Gibbons, Eric P. Xing:
Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory. EuroSys 2019: 42:1-42:17 - [c151]Deepak Narayanan, Aaron Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons, Matei Zaharia:
PipeDream: generalized pipeline parallelism for DNN training. SOSP 2019: 1-15 - [c150]Nathan Beckmann, Phillip B. Gibbons, Bernhard Haeupler, Charles McGuffey:
Writeback-Aware Caching (Brief Announcement). SPAA 2019: 345-347 - [i15]Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin G. Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar:
SysML: The New Frontier of Machine Learning Systems. CoRR abs/1904.03257 (2019) - [i14]Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. CoRR abs/1910.00189 (2019) - [i13]Laxman Dhulipala, Charles McGuffey, Hongbo Kang, Yan Gu, Guy E. Blelloch, Phillip B. Gibbons, Julian Shun:
Semi-Asymmetric Parallel Graph Algorithms for NVRAMs. CoRR abs/1910.12310 (2019) - [i12]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. CoRR abs/1912.04977 (2019) - 2018
- [c149]Naama Ben-David, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun:
Implicit Decomposition for Write-Efficient Connectivity Algorithms. IPDPS 2018: 711-722 - [c148]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 - [c147]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 - [c146]Ellango Jothimurugesan, Ashraf Tahmasbi, Phillip B. Gibbons, Srikanta Tirthapura:
Variance-Reduced Stochastic Gradient Descent on Streaming Data. NeurIPS 2018: 9928-9937 - [c145]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 - [c144]Guy E. Blelloch, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun:
The Parallel Persistent Memory Model. SPAA 2018: 247-258 - [c143]Aaron Harlap, Andrew Chung, Alexey Tumanov, Gregory R. Ganger, Phillip B. Gibbons:
Tributary: spot-dancing for elastic services with latency SLOs. USENIX ATC 2018: 1-14 - [r6]Phillip B. Gibbons:
Data Storage and Indexing in Sensor Networks. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Phillip B. Gibbons:
FM Synopsis. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Phillip B. Gibbons:
Synopsis Structure. Encyclopedia of Database Systems (2nd ed.) 2018 - [i11]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) - [i10]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) - [i9]Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons:
MLtuner: System Support for Automatic Machine Learning Tuning. CoRR abs/1803.07445 (2018) - [i8]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) - [i7]Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
RowClone: Accelerating Data Movement and Initialization Using DRAM. CoRR abs/1805.03502 (2018) - [i6]Guy E. Blelloch, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun:
The Parallel Persistent Memory Model. CoRR abs/1805.05580 (2018) - [i5]Aaron Harlap, Deepak Narayanan, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons:
PipeDream: Fast and Efficient Pipeline Parallel DNN Training. CoRR abs/1806.03377 (2018) - 2017
- [c142]Aaron Harlap, Alexey Tumanov, Andrew Chung, Gregory R. Ganger, Phillip B. Gibbons:
Proteus: agile ML elasticity through tiered reliability in dynamic resource markets. EuroSys 2017: 589-604 - [c141]Mahadev Satyanarayanan, Phillip B. Gibbons, Lily B. Mummert, Padmanabhan Pillai, Pieter Simoens, Rahul Sukthankar:
Cloudlet-based just-in-time indexing of IoT video. GIoTS 2017: 1-8 - [c140]Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri:
Provably Efficient Scheduling of Dynamically Allocating Programs on Parallel Cache Hierarchies. HiPC 2017: 124-133 - [c139]Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie S. Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry:
Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology. MICRO 2017: 273-287 - [c138]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 - [i4]Naama Ben-David, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun:
Implicit Decomposition for Write-Efficient Connectivity Algorithms. CoRR abs/1710.02637 (2017) - 2016
- [j42]Harsha Vardhan Simhadri, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola:
Experimental Analysis of Space-Bounded Schedulers. ACM Trans. Parallel Comput. 3(1): 8:1-8:27 (2016) - [c137]Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Addressing the straggler problem for iterative convergent parallel ML. SoCC 2016: 98-111 - [c136]Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun:
Efficient Algorithms with Asymmetric Read and Write Costs. ESA 2016: 14:1-14:18 - [c135]Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing:
GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server. EuroSys 2016: 4:1-4:16 - [c134]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 - [c133]Phillip B. Gibbons:
How Emerging Memory Technologies Will Have You Rethinking Algorithm Design. PODC 2016: 303 - [c132]Naama Ben-David, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun:
Parallel Algorithms for Asymmetric Read-Write Costs. SPAA 2016: 145-156 - [p1]Phillip B. Gibbons:
Distinct-Values Estimation over Data Streams. Data Stream Management 2016: 121-147 - [i3]Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun:
Sorting with Asymmetric Read and Write Costs. CoRR abs/1603.03505 (2016) - [i2]Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie S. Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry:
Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAM. CoRR abs/1611.09988 (2016) - 2015
- [j41]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) - [j40]Manos Athanassoulis, Shimin Chen, Anastasia Ailamaki, Phillip B. Gibbons, Radu Stoica:
Online Updates on Data Warehouses via Judicious Use of Solid-State Storage. ACM Trans. Database Syst. 40(1): 6:1-6:42 (2015) - [c131]Michelle L. Goodstein, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Tracking and Reducing Uncertainty in Dataflow Analysis-Based Dynamic Parallel Monitoring. PACT 2015: 266-279 - [c130]Chung-Yi Li, Wei-Lun Su, Todd G. McKenzie, Fu-Chun Hsu, Shou-De Lin, Jane Yung-jen Hsu, Phillip B. Gibbons:
Recommending missing sensor values. IEEE BigData 2015: 381-390 - [c129]Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons:
Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping. IEEE BigData 2015: 551-560 - [c128]Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Managed communication and consistency for fast data-parallel iterative analytics. SoCC 2015: 381-394 - [c127]Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert:
Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. DSAA 2015: 1-10 - [c126]Gennady Pekhimenko, Tyler Huberty, Rui Cai, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Exploiting compressed block size as an indicator of future reuse. HPCA 2015: 51-63 - [c125]Phillip B. Gibbons:
Big data: Scale down, scale up, scale out. IPDPS 2015: 3 - [c124]Vivek Seshadri, Gennady Pekhimenko, Olatunji Ruwase, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry, Trishul M. Chilimbi:
Page overlays: an enhanced virtual memory framework to enable fine-grained memory management. ISCA 2015: 79-91 - [c123]Phillip B. Gibbons:
Living on the Edge with Only Clouds to Fall Back on. MDM (1) 2015: 3 - [c122]Vivek Seshadri, Thomas Mullins, Amirali Boroumand, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Gather-scatter DRAM: in-DRAM address translation to improve the spatial locality of non-unit strided accesses. MICRO 2015: 267-280 - [c121]Julian Shun, Yan Gu, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons:
Sequential Random Permutation, List Contraction and Tree Contraction are Highly Parallel. SODA 2015: 431-448 - [c120]Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun:
Sorting with Asymmetric Read and Write Costs. SPAA 2015: 1-12 - [i1]Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun:
Efficient Algorithms under Asymmetric Read and Write Costs. CoRR abs/1511.01038 (2015) - 2014
- [j39]Binbin Chen, Haifeng Yu, Yuda Zhao, Phillip B. Gibbons:
The Cost of Fault Tolerance in Multi-Party Communication Complexity. J. ACM 61(3): 19:1-19:64 (2014) - [j38]Vivek Seshadri, Samihan Yedkar, Hongyi Xin, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Mitigating Prefetcher-Caused Pollution Using Informed Caching Policies for Prefetched Blocks. ACM Trans. Archit. Code Optim. 11(4): 51:1-51:22 (2014) - [j37]Phillip B. Gibbons:
ACM transactions on parallel computing: An introduction. ACM Trans. Parallel Comput. 1(1): 1:1-1:2 (2014) - [c119]Olatunji Ruwase, Michael A. Kozuch, Phillip B. Gibbons, Todd C. Mowry:
Guardrail: a high fidelity approach to protecting hardware devices from buggy drivers. ASPLOS 2014: 655-670 - [c118]Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Exploiting iterative-ness for parallel ML computations. SoCC 2014: 5:1-5:14 - [c117]Vivek Seshadri, Abhishek Bhowmick, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
The Dirty-Block Index. ISCA 2014: 157-168 - [c116]Harsha Vardhan Simhadri, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola:
Experimental analysis of space-bounded schedulers. SPAA 2014: 30-41 - [c115]Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX ATC 2014: 37-48 - [c114]Xiaoning Ding, Phillip B. Gibbons, Michael A. Kozuch, Jianchen Shan:
Gleaner: Mitigating the Blocked-Waiter Wakeup Problem for Virtualized Multicore Applications. USENIX ATC 2014: 73-84 - [c113]Shun-Hsing Ou, Yu-Chen Lu, Jui-Pin Wang, Shao-Yi Chien, Shou-De Lin, Mi-Yen Yeh, Chia-Han Lee, Phillip B. Gibbons, V. Srinivasa Somayazulu, Yen-Kuang Chen:
Communication-efficient multi-view keyframe extraction in distributed video sensors. VCIP 2014: 13-16 - 2013
- [c112]Xiaoning Ding, Phillip B. Gibbons, Michael A. Kozuch:
A Hidden Cost of Virtualization When Scaling Multicore Applications. HotCloud 2013 - [c111]Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons:
Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. ICDM 2013: 787-796 - [c110]Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Linearly compressed pages: a low-complexity, low-latency main memory compression framework. MICRO 2013: 172-184 - [c109]Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization. MICRO 2013: 185-197 - [c108]Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing:
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. NIPS 2013: 1223-1231 - [c107]Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Harsha Vardhan Simhadri:
Program-centric cost models for locality. MSPC@PLDI 2013: 6:1-6:2 - [c106]Julian Shun, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons:
Reducing contention through priority updates. PPoPP 2013: 299-300 - [c105]Julian Shun, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons:
Reducing contention through priority updates. SPAA 2013: 152-163 - 2012
- [c104]Michelle L. Goodstein, Shimin Chen, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Chrysalis analysis: incorporating synchronization arcs in dataflow-analysis-based parallel monitoring. PACT 2012: 201-212 - [c103]Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Base-delta-immediate compression: practical data compression for on-chip caches. PACT 2012: 377-388 - [c102]Haifeng Yu, Phillip B. Gibbons, Chenwei Shi:
DCast: sustaining collaboration in overlay multicast despite rational collusion. CCS 2012: 567-580 - [c101]Xiaoning Ding, Kaibo Wang, Phillip B. Gibbons, Xiaodong Zhang:
BWS: balanced work stealing for time-sharing multicores. EuroSys 2012: 365-378 - [c100]Binbin Chen, Haifeng Yu, Yuda Zhao, Phillip B. Gibbons:
The cost of fault tolerance in multi-party communication complexity. PODC 2012: 57-66 - [c99]Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Julian Shun:
Internally deterministic parallel algorithms can be fast. PPoPP 2012: 181-192 - [c98]Julian Shun, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola, Harsha Vardhan Simhadri, Kanat Tangwongsan:
Brief announcement: the problem based benchmark suite. SPAA 2012: 68-70 - 2011
- [j36]Shimin Chen, Phillip B. Gibbons, Michael Kozuch, Todd C. Mowry:
Log-based architectures: using multicore to help software behave correctly. ACM SIGOPS Oper. Syst. Rev. 45(1): 84-91 (2011) - [c97]Shimin Chen, Phillip B. Gibbons, Suman Nath:
Rethinking Database Algorithms for Phase Change Memory. CIDR 2011: 21-31 - [c96]Haifeng Yu, Phillip B. Gibbons, Chenwei Shi:
Sustaining collaboration in multicast despite rational collusion. PODC 2011: 337-338 - [c95]Manos Athanassoulis, Shimin Chen, Anastasia Ailamaki, Phillip B. Gibbons, Radu Stoica:
MaSM: efficient online updates in data warehouses. SIGMOD Conference 2011: 865-876 - [c94]Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Harsha Vardhan Simhadri:
Scheduling irregular parallel computations on hierarchical caches. SPAA 2011: 355-366 - 2010
- [j35]Manos Athanassoulis, Anastasia Ailamaki, Shimin Chen, Phillip B. Gibbons, Radu Stoica:
Flash in a DBMS: Where and How? IEEE Data Eng. Bull. 33(4): 28-34 (2010) - [j34]Daniel Spoonhower, Guy E. Blelloch, Robert Harper, Phillip B. Gibbons:
Space profiling for parallel functional programs. J. Funct. Program. 20(5-6): 417-461 (2010) - [j33]Shimin Chen, Anastasia Ailamaki, Manos Athanassoulis, Phillip B. Gibbons, Ryan Johnson, Ippokratis Pandis, Radu Stoica:
TPC-E vs. TPC-C: characterizing the new TPC-E benchmark via an I/O comparison study. SIGMOD Rec. 39(3): 5-10 (2010) - [j32]Haifeng Yu, Phillip B. Gibbons, Michael Kaminsky, Feng Xiao:
SybilLimit: A Near-Optimal Social Network Defense Against Sybil Attacks. IEEE/ACM Trans. Netw. 18(3): 885-898 (2010) - [j31]Suman Nath, Phillip B. Gibbons:
Online maintenance of very large random samples on flash storage. VLDB J. 19(1): 67-90 (2010) - [c93]Michelle L. Goodstein, Evangelos Vlachos, Shimin Chen, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry:
Butterfly analysis: adapting dataflow analysis to dynamic parallel monitoring. ASPLOS 2010: 257-270 - [c92]Evangelos Vlachos, Michelle L. Goodstein, Michael A. Kozuch, Shimin Chen, Babak Falsafi, Phillip B. Gibbons, Todd C. Mowry:
ParaLog: enabling and accelerating online parallel monitoring of multithreaded applications. ASPLOS 2010: 271-284 - [c91]Olatunji Ruwase, Shimin Chen, Phillip B. Gibbons, Todd C. Mowry:
Decoupled lifeguards: enabling path optimizations for dynamic correctness checking tools. PLDI 2010: 25-35 - [c90]Shimin Chen, Phillip B. Gibbons, Suman Nath:
PR-join: a non-blocking join achieving higher early result rate with statistical guarantees. SIGMOD Conference 2010: 147-158 - [c89]Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri:
Low depth cache-oblivious algorithms. SPAA 2010: 189-199 - [e8]Phillip B. Gibbons, Demetrios Zeinalipour-Yazti, Hui Lei, Suman Nath:
Ninth ACM International Workshop on Data Engineering for Wireless and Mobile Access, Mobide 2010, June 6, 2010, Indianapolis, Indiana, USA, Proceedings. ACM 2010, ISBN 978-1-4503-0151-0 [contents]
2000 – 2009
- 2009
- [j30]Haifeng Yu, Phillip B. Gibbons:
Optimal inter-object correlation when replicating for availability. Distributed Comput. 21(5): 367-384 (2009) - [j29]Shimin Chen, Michael Kozuch, Phillip B. Gibbons, Michael P. Ryan, Theodoros Strigkos, Todd C. Mowry, Olatunji Ruwase, Evangelos Vlachos, Babak Falsafi, Vijaya Ramachandran:
Flexible Hardware Acceleration for Instruction-Grain Lifeguards. IEEE Micro 29(1): 62-72 (2009) - [c88]Haifeng Yu, Chenwei Shi, Michael Kaminsky, Phillip B. Gibbons, Feng Xiao:
DSybil: Optimal Sybil-Resistance for Recommendation Systems. SP 2009: 283-298 - [c87]Daniel Spoonhower, Guy E. Blelloch, Phillip B. Gibbons, Robert Harper:
Beyond nested parallelism: tight bounds on work-stealing overheads for parallel futures. SPAA 2009: 91-100 - [c86]Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri:
Brief announcement: low depth cache-oblivious sorting. SPAA 2009: 121-123 - [r3]Phillip B. Gibbons:
Data Storage and Indexing in Sensor Networks. Encyclopedia of Database Systems 2009: 635-638 - [r2]Phillip B. Gibbons:
FM Synopsis. Encyclopedia of Database Systems 2009: 1143-1147 - [r1]Phillip B. Gibbons:
Synopsis Structure. Encyclopedia of Database Systems 2009: 2898-2899 - 2008
- [j28]Suman Nath, Phillip B. Gibbons:
Online maintenance of very large random samples on flash storage. Proc. VLDB Endow. 1(1): 970-983 (2008) - [j27]Haifeng Yu, Michael Kaminsky, Phillip B. Gibbons, Abraham D. Flaxman:
SybilGuard: defending against sybil attacks via social networks. IEEE/ACM Trans. Netw. 16(3): 576-589 (2008) - [j26]Suman Nath, Phillip B. Gibbons, Srinivasan Seshan, Zachary R. Anderson:
Synopsis diffusion for robust aggregation in sensor networks. ACM Trans. Sens. Networks 4(2): 7:1-7:40 (2008) - [c85]Daniel Spoonhower, Guy E. Blelloch, Robert Harper, Phillip B. Gibbons:
Space profiling for parallel functional programs. ICFP 2008: 253-264 - [c84]Shimin Chen, Michael Kozuch, Theodoros Strigkos, Babak Falsafi, Phillip B. Gibbons, Todd C. Mowry, Vijaya Ramachandran, Olatunji Ruwase, Michael P. Ryan, Evangelos Vlachos:
Flexible Hardware Acceleration for Instruction-Grain Program Monitoring. ISCA 2008: 377-388 - [c83]Guy E. Blelloch, Rezaul Alam Chowdhury, Phillip B. Gibbons, Vijaya Ramachandran, Shimin Chen, Michael Kozuch:
Provably good multicore cache performance for divide-and-conquer algorithms. SODA 2008: 501-510 - [c82]Haifeng Yu, Phillip B. Gibbons, Michael Kaminsky, Feng Xiao:
SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks. SP 2008: 3-17 - [c81]Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri:
Combinable memory-block transactions. SPAA 2008: 23-34 - [c80]Olatunji Ruwase, Phillip B. Gibbons, Todd C. Mowry, Vijaya Ramachandran, Shimin Chen, Michael Kozuch, Michael P. Ryan:
Parallelizing dynamic information flow tracking. SPAA 2008: 35-45 - 2007
- [j25]Magdalena Balazinska, Amol Deshpande, Michael J. Franklin, Phillip B. Gibbons, Jim Gray, Mark H. Hansen, Michael Liebhold, Suman Nath, Alexander S. Szalay, Vincent Tao:
Data Management in the Worldwide Sensor Web. IEEE Pervasive Comput. 6(2): 30-40 (2007) - [j24]Shimin Chen, Anastassia Ailamaki, Phillip B. Gibbons, Todd C. Mowry:
Improving hash join performance through prefetching. ACM Trans. Database Syst. 32(3): 17 (2007) - [c79]Jeffrey Pang, Phillip B. Gibbons, Michael Kaminsky, Srinivasan Seshan, Haifeng Yu:
Defragmenting DHT-based Distributed File Systems. ICDCS 2007: 14 - [c78]Amit Manjhi, Phillip B. Gibbons, Anastassia Ailamaki, Charles Garrod, Bruce M. Maggs, Todd C. Mowry, Christopher Olston, Anthony Tomasic, Haifeng Yu:
Invalidation Clues for Database Scalability Services. ICDE 2007: 316-325 - [c77]Suman Nath, Phillip B. Gibbons:
Communicating via fireflies: geographic routing on duty-cycled sensors. IPSN 2007: 440-449 - [c76]Haifeng Yu, Phillip B. Gibbons:
Optimal inter-object correlation when replicating for availability. PODC 2007: 254-263 - [c75]Haifeng Yu, Phillip B. Gibbons, Michael Kaminsky:
Toward an optimal social network defense against Sybil attacks. PODC 2007: 376-377 - [c74]Shimin Chen, Phillip B. Gibbons, Michael Kozuch, Vasileios Liaskovitis, Anastassia Ailamaki, Guy E. Blelloch, Babak Falsafi, Limor Fix, Nikos Hardavellas, Todd C. Mowry, Chris Wilkerson:
Scheduling threads for constructive cache sharing on CMPs. SPAA 2007: 105-115 - [e7]Phillip B. Gibbons, Christian Scheideler:
SPAA 2007: Proceedings of the 19th Annual ACM Symposium on Parallelism in Algorithms and Architectures, San Diego, California, USA, June 9-11, 2007. ACM 2007, ISBN 978-1-59593-667-7 [contents] - 2006
- [c73]Shimin Chen, Babak Falsafi, Phillip B. Gibbons, Michael Kozuch, Todd C. Mowry, Radu Teodorescu, Anastassia Ailamaki, Limor Fix, Gregory R. Ganger, Bin Lin, Steven W. Schlosser:
Log-based architectures for general-purpose monitoring of deployed code. ASID 2006: 63-65 - [c72]Suman Nath, Haifeng Yu, Phillip B. Gibbons, Srinivasan Seshan:
Subtleties in Tolerating Correlated Failures in Wide-area Storage Systems. NSDI 2006 - [c71]Haifeng Yu, Phillip B. Gibbons, Suman Nath:
Availability of Multi-Object Operations (Awarded Best Paper). NSDI 2006 - [c70]Haifeng Yu, Michael Kaminsky, Phillip B. Gibbons, Abraham Flaxman:
SybilGuard: defending against sybil attacks via social networks. SIGCOMM 2006: 267-278 - [c69]Vasileios Liaskovitis, Shimin Chen, Phillip B. Gibbons, Anastassia Ailamaki, Guy E. Blelloch, Babak Falsafi, Limor Fix, Nikos Hardavellas, Michael Kozuch, Todd C. Mowry, Chris Wilkerson:
Parallel depth first vs. work stealing schedulers on CMP architectures. SPAA 2006: 330 - [e6]Phillip B. Gibbons, Tarek F. Abdelzaher, James Aspnes, Ramesh R. Rao:
Distributed Computing in Sensor Systems, Second IEEE International Conference, DCOSS 2006, San Francisco, CA, USA, June 18-20, 2006, Proceedings. Lecture Notes in Computer Science 4026, Springer 2006, ISBN 3-540-35227-9 [contents] - [e5]John A. Stankovic, Phillip B. Gibbons, Stephen B. Wicker, Joseph A. Paradiso:
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN 2006, Nashville, Tennessee, USA, April 19-21, 2006. ACM 2006, ISBN 1-59593-334-4 [contents] - [e4]Phillip B. Gibbons, Uzi Vishkin:
SPAA 2006: Proceedings of the 18th Annual ACM Symposium on Parallelism in Algorithms and Architectures, Cambridge, Massachusetts, USA, July 30 - August 2, 2006. ACM 2006, ISBN 1-59593-452-9 [contents] - 2005
- [j23]Angeline Wong, Leejay Wu, Phillip B. Gibbons, Christos Faloutsos:
Fast estimation of fractal dimension and correlation integral on stream data. Inf. Process. Lett. 93(2): 91-97 (2005) - [c68]Phillip B. Gibbons:
Five Challenges in Wide-Area Sensor Systems. DCOSS 2005: 2 - [c67]Shimin Chen, Phillip B. Gibbons, Suman Nath:
Database-Centric Programming for Wide-Area Sensor Systems. DCOSS 2005: 89-108 - [c66]Suman Nath, Phillip B. Gibbons, Srinivasan Seshan:
Adaptive Data Placement for Wide-Area Sensing Services. FAST 2005 - [c65]Jason Campbell, Phillip B. Gibbons, Suman Nath, Padmanabhan Pillai, Srinivasan Seshan, Rahul Sukthankar:
IrisNet: an internet-scale architecture for multimedia sensors. ACM Multimedia 2005: 81-88 - [c64]Shobha Venkataraman, Dawn Xiaodong Song, Phillip B. Gibbons, Avrim Blum:
New Streaming Algorithms for Fast Detection of Superspreaders. NDSS 2005 - [c63]Burak Aksak, Preethi Srinivas Bhat, Jason Campbell, Michael DeRosa, Stanislav Funiak, Phillip B. Gibbons, Seth Copen Goldstein, Carlos Guestrin, Ashish Gupta, Casey Helfrich, James F. Hoburg, Brian T. Kirby, James Kuffner, Peter Lee, Todd C. Mowry, Padmanabhan Pillai, Ram Ravichandran, Benjamin D. Rister, Srinivasan Seshan, Metin Sitti, Haifeng Yu:
Claytronics: highly scalable communications, sensing, and actuation networks. SenSys 2005: 299 - [c62]Amit Manjhi, Suman Nath, Phillip B. Gibbons:
Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams. SIGMOD Conference 2005: 287-298 - [c61]Shimin Chen, Anastassia Ailamaki, Phillip B. Gibbons, Todd C. Mowry:
Inspector Joins. VLDB 2005: 817-828 - [e3]Phillip B. Gibbons, Paul G. Spirakis:
SPAA 2005: Proceedings of the 17th Annual ACM Symposium on Parallelism in Algorithms and Architectures, July 18-20, 2005, Las Vegas, Nevada, USA. ACM 2005, ISBN 1-58113-986-1 [contents] - 2004
- [j22]Phillip B. Gibbons, Srikanta Tirthapura:
Distributed Streams Algorithms for Sliding Windows. Theory Comput. Syst. 37(3): 457-478 (2004) - [j21]Minos N. Garofalakis, Phillip B. Gibbons:
Probabilistic wavelet synopses. ACM Trans. Database Syst. 29: 43-90 (2004) - [c60]Shimin Chen, Anastassia Ailamaki, Phillip B. Gibbons, Todd C. Mowry:
Improving Hash Join Performance through Prefetching. ICDE 2004: 116-127 - [c59]Suman Nath, Phillip B. Gibbons, Srinivasan Seshan, Zachary R. Anderson:
Synopsis diffusion for robust aggregation in sensor networks. SenSys 2004: 250-262 - [c58]Guy E. Blelloch, Phillip B. Gibbons:
Effectively sharing a cache among threads. SPAA 2004: 235-244 - [e2]Phillip B. Gibbons, Micah Adler:
SPAA 2004: Proceedings of the Sixteenth Annual ACM Symposium on Parallelism in Algorithms and Architectures, June 27-30, 2004, Barcelona, Spain. ACM 2004, ISBN 1-58113-840-7 [contents] - 2003
- [j20]Guy E. Blelloch, Perry Cheng, Phillip B. Gibbons:
Scalable Room Synchronizations. Theory Comput. Syst. 36(5): 397-430 (2003) - [j19]Phillip B. Gibbons, Brad Karp, Yan Ke, Suman Nath, Srinivasan Seshan:
IrisNet: An Architecture for a Worldwide Sensor Web. IEEE Pervasive Comput. 2(4): 22-33 (2003) - [j18]Suman Nath, Amol Deshpande, Phillip B. Gibbons, Srinivasan Seshan:
MobiCom poster: mining a world of smart sensors. ACM SIGMOBILE Mob. Comput. Commun. Rev. 7(1): 34-36 (2003) - [c57]Spiros Papadimitriou, Hiroyuki Kitagawa, Phillip B. Gibbons, Christos Faloutsos:
LOCI: Fast Outlier Detection Using the Local Correlation Integral. ICDE 2003: 315-326 - [c56]Amol Deshpande, Suman Nath, Phillip B. Gibbons, Srinivasan Seshan:
Cache-and-Query for Wide Area Sensor Databases. SIGMOD Conference 2003: 503-514 - [c55]Amol Deshpande, Suman Nath, Phillip B. Gibbons, Srinivasan Seshan:
IrisNet: Internet-scale Resource-Intensive Sensor Services. SIGMOD Conference 2003: 667 - [c54]Suman Nath, Amol Deshpande, Yan Ke, Phillip B. Gibbons, Brad Karp, Srinivasan Seshan:
IrisNet: An Architecture for Internet-scale Sensing Services. VLDB 2003: 1137-1140 - 2002
- [j17]Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario Szegedy:
Tracking Join and Self-Join Sizes in Limited Storage. J. Comput. Syst. Sci. 64(3): 719-747 (2002) - [j16]Phillip B. Gibbons, John L. Bruno, Steven Phillips:
Black-Box Correctness Tests for Basic Parallel Data Structures. Theory Comput. Syst. 35(4): 391-432 (2002) - [j15]Phillip B. Gibbons, Yossi Matias, Viswanath Poosala:
Fast incremental maintenance of approximate histograms. ACM Trans. Database Syst. 27(3): 261-298 (2002) - [c53]Christopher R. Palmer, Phillip B. Gibbons, Christos Faloutsos:
ANF: a fast and scalable tool for data mining in massive graphs. KDD 2002: 81-90 - [c52]Shimin Chen, Phillip B. Gibbons, Todd C. Mowry, Gary Valentin:
Fractal prefetching B±Trees: optimizing both cache and disk performance. SIGMOD Conference 2002: 157-168 - [c51]Minos N. Garofalakis, Phillip B. Gibbons:
Wavelet synopses with error guarantees. SIGMOD Conference 2002: 476-487 - [c50]Phillip B. Gibbons, Srikanta Tirthapura:
Distributed streams algorithms for sliding windows. SPAA 2002: 63-72 - 2001
- [c49]Shimin Chen, Phillip B. Gibbons, Todd C. Mowry:
Improving Index Performance through Prefetching. SIGMOD Conference 2001: 235-246 - [c48]Guy E. Blelloch, Perry Cheng, Phillip B. Gibbons:
Room synchronizations. SPAA 2001: 122-133 - [c47]Phillip B. Gibbons, Srikanta Tirthapura:
Estimating simple functions on the union of data streams. SPAA 2001: 281-291 - [c46]Minos N. Garofalakis, Phillip B. Gibbons:
Approximate Query Processing: Taming the TeraBytes. VLDB 2001 - [c45]Phillip B. Gibbons:
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports. VLDB 2001: 541-550 - 2000
- [c44]Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala:
Congressional Samples for Approximate Answering of Group-By Queries. SIGMOD Conference 2000: 487-498
1990 – 1999
- 1999
- [j14]Micah Adler, Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Modeling Parallel Bandwidth: Local versus Global Restrictions. Algorithmica 24(3-4): 381-404 (1999) - [j13]Eran Gabber, Phillip B. Gibbons, David M. Kristol, Yossi Matias, Alain J. Mayer:
Consistent, Yet Anonymous, Web Access with LPWA. Commun. ACM 42(2): 42-47 (1999) - [j12]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias:
Provably Efficient Scheduling for Languages with Fine-Grained Parallelism. J. ACM 46(2): 281-321 (1999) - [j11]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Can a Shared-Memory Model Serve as a Bridging Model for Parallel Computation? Theory Comput. Syst. 32(3): 327-359 (1999) - [j10]Eran Gabber, Phillip B. Gibbons, David M. Kristol, Yossi Matias, Alain J. Mayer:
On secure and pseudonymous client-relationships with multiple servers. ACM Trans. Inf. Syst. Secur. 2(4): 390-415 (1999) - [c43]Rakesh D. Barve, Phillip B. Gibbons, Bruce Hillyer, Yossi Matias, Elizabeth A. M. Shriver, Jeffrey Scott Vitter:
Round-Like Behavior in Multiple Disks on a Bus. IOPADS 1999: 1-9 - [c42]Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario Szegedy:
Tracking Join and Self-Join Sizes in Limited Storage. PODS 1999: 10-20 - [c41]Rakesh D. Barve, Elizabeth A. M. Shriver, Phillip B. Gibbons, Bruce Hillyer, Yossi Matias, Jeffrey Scott Vitter:
Modeling and Optimizing I/O Throughput of Multiple Disks on a Bus. SIGMETRICS 1999: 83-92 - [c40]Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala, Sridhar Ramaswamy:
Join Synopses for Approximate Query Answering. SIGMOD Conference 1999: 275-286 - [c39]Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala, Sridhar Ramaswamy:
The Aqua Approximate Query Answering System. SIGMOD Conference 1999: 574-576 - [c38]Phillip B. Gibbons, Yossi Matias:
Synopsis Data Structures for Massive Data Sets. SODA 1999: 909-910 - [c37]Phillip B. Gibbons, John L. Bruno, Steven Phillips:
Post-Mortem Black-Box Correctness Tests for Basic Parallel Data Structures. SPAA 1999: 44-53 - [c36]Swarup Acharya, Phillip B. Gibbons, Viswanath Poosala:
Aqua: A Fast Decision Support Systems Using Approximate Query Answers. VLDB 1999: 754-757 - 1998
- [j9]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The Queue-Read Queue-Write PRAM Model: Accounting for Contention in Parallel Algorithms. SIAM J. Comput. 28(2): 733-769 (1998) - [j8]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The Queue-Read Queue-Write Asynchronous PRAM Model. Theor. Comput. Sci. 196(1-2): 3-29 (1998) - [c35]Phillip B. Gibbons, Yossi Matias:
Synopsis data structures for massive data sets. External Memory Algorithms 1998: 39-70 - [c34]Kourosh Gharachorloo, Daniel Lenoski, James Laudon, Phillip B. Gibbons, Anoop Gupta, John L. Hennessy:
Memory Consistency and Event Ordering in Scalable Shared-Memory Multiprocessors. 25 Years ISCA: Retrospectives and Reprints 1998: 376-387 - [c33]Rakesh D. Barve, Elizabeth A. M. Shriver, Phillip B. Gibbons, Bruce Hillyer, Yossi Matias, Jeffrey Scott Vitter:
Modeling and Optimizing I/O Throughput of Multiple Disks on a Bus (Summary). SIGMETRICS 1998: 264-265 - [c32]Phillip B. Gibbons, Yossi Matias:
New Sampling-Based Summary Statistics for Improving Approximate Query Answers. SIGMOD Conference 1998: 331-342 - [c31]Daniel Bleichenbacher, Eran Gabber, Phillip B. Gibbons, Yossi Matias, Alain J. Mayer:
On Secure and Pseudonymous Client-Relationships with Multiple Servers. USENIX Workshop on Electronic Commerce 1998 - [e1]Gary L. Miller, Phillip B. Gibbons:
Proceedings of the Tenth Annual ACM Symposium on Parallel Algorithms and Architectures, SPAA '98, Puerto Vallarta, Mexico, June 28 - July 2, 1998. ACM 1998, ISBN 0-89791-989-0 [contents] - 1997
- [j7]Phillip B. Gibbons, Ephraim Korach:
Testing Shared Memories. SIAM J. Comput. 26(4): 1208-1244 (1997) - [j6]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias, Marco Zagha:
Accounting for Memory Bank Contention and Delay in High-Bandwidth Multiprocessors. IEEE Trans. Parallel Distributed Syst. 8(9): 943-958 (1997) - [c30]Eran Gabber, Phillip B. Gibbons, Yossi Matias, Alain J. Mayer:
How to Make Personalized Web Browising Simple, Secure, and Anonymous. Financial Cryptography 1997: 17-32 - [c29]Guy E. Blelloch, Phillip B. Gibbons, Girija J. Narlikar, Yossi Matias:
Space-Efficient Scheduling of Parallelism with Synchronization Variables. SPAA 1997: 12-23 - [c28]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Can Shared-Memory Model Serve as a Bridging Model for Parallel Computation? SPAA 1997: 72-83 - [c27]Micah Adler, Phillip B. Gibbons, Vijaya Ramachandran, Yossi Matias:
Modeling Parallel Bandwidth: Local vs. Global Restrictions. SPAA 1997: 94-105 - [c26]Phillip B. Gibbons, Yossi Matias, Viswanath Poosala:
Fast Incremental Maintenance of Approximate Histograms. VLDB 1997: 466-475 - 1996
- [j5]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Efficient Low-Contention Parallel Algorithms. J. Comput. Syst. Sci. 53(3): 417-442 (1996) - [c25]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The Queue-Read Queue-Write Asynchronous PRAM Model. Euro-Par, Vol. II 1996: 279-292 - [c24]Phillip B. Gibbons:
What Good are Shared-Memory Models? ICPP Workshop 1996: 103-114 - [c23]John L. Bruno, Phillip B. Gibbons, Steven Phillips:
Testing Concurrent Data Structures (Abstract). PODC 1996: 124 - [c22]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Asynchrony versus Bulk-Synchrony in QRQW PRAM model (Abstract). PODC 1996: 176 - [c21]Sumit Ganguly, Phillip B. Gibbons, Yossi Matias, Abraham Silberschatz:
Bifocal Sampling for Skew-Resistant Join Size Estimation. SIGMOD Conference 1996: 271-281 - 1995
- [c20]Omer Berkman, Phillip B. Gibbons, Yossi Matias:
On the Power of Randomization for the Common PRAM. ISTCS 1995: 229-240 - [c19]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias:
Provably Efficient Scheduling for Languages with Fine-Grained Parallelism. SPAA 1995: 1-12 - [c18]Guy E. Blelloch, Phillip B. Gibbons, Yossi Matias, Marco Zagha:
Accounting for Memory Bank Contention and Delay in High-Bandwidth Multiprocessors. SPAA 1995: 84-94 - 1994
- [c17]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
The QRQW PRAM: Accounting for Contention in Parallel Algorithms. SODA 1994: 638-648 - [c16]Phillip B. Gibbons, Ephraim Korach:
On Testing Cache-Coherent Shared Memories. SPAA 1994: 177-188 - [c15]Phillip B. Gibbons, Yossi Matias, Vijaya Ramachandran:
Efficient Low-Contention Parallel Algorithms. SPAA 1994: 236-247 - 1992
- [j4]Wayne Niblack, Phillip B. Gibbons, David W. Capson:
Generating skeletons and centerlines from the distance transform. CVGIP Graph. Model. Image Process. 54(5): 420-437 (1992) - [c14]Wayne Niblack, Phillip B. Gibbons, David W. Capson:
Generating connected skeletons for exact and approximate reconstruction. CVPR 1992: 826-828 - [c13]Phillip B. Gibbons, Wayne Niblack:
A width-independent parallel thinning algorithm. ICPR (3) 1992: 708-711 - [c12]Phillip B. Gibbons, Michael Merritt:
Specifying Non-Blocking Shared Memories (Extended Abstract). SPAA 1992: 306-315 - [c11]Phillip B. Gibbons, Ephraim Korach:
The Complexity of Sequential Consistency. SPDP 1992: 317-325 - 1991
- [j3]Phillip B. Gibbons, Richard M. Karp, Vijaya Ramachandran, Danny Soroker, Robert Endre Tarjan:
Transitive Compaction in Parallel via Branchings. J. Algorithms 12(1): 110-125 (1991) - [c10]Phillip B. Gibbons, Michael Merritt, Kourosh Gharachorloo:
Proving Sequential Consistency of High-Performance Shared Memories (Extended Abstract). SPAA 1991: 292-303 - [c9]Kourosh Gharachorloo, Phillip B. Gibbons:
Detecting Violations of Sequential Consistency. SPAA 1991: 316-326 - 1990
- [j2]Phillip B. Gibbons, Richard M. Karp, Gary L. Miller, Danny Soroker:
Subtree isomorphism is in random NC. Discret. Appl. Math. 29(1): 35-62 (1990) - [c8]Yitzhak Birk, Phillip B. Gibbons, Jorge L. C. Sanz, Danny Soroker:
A Simple Mechanism for Efficient Barrier Synchronization in MIMD Machines. ICPP (2) 1990: 195-198 - [c7]Phillip B. Gibbons:
Cache Support for the Asynchronous PRAM. ICPP (1) 1990: 322-325 - [c6]Wayne Niblack, David W. Capson, Phillip B. Gibbons:
Generating skeletons and centerlines from the medial axis transform. ICPR (1) 1990: 881-885 - [c5]Kourosh Gharachorloo, Daniel Lenoski, James Laudon, Phillip B. Gibbons, Anoop Gupta, John L. Hennessy:
Memory Consistency and Event Ordering in Scalable Shared-Memory Multiprocessors. ISCA 1990: 15-26
1980 – 1989
- 1989
- [b1]Phillip B. Gibbons:
The asynchronous PRAM - a semi-synchronous model for shared memory MIMD machines. University of California at Berkeley, CA, USA, TR ICSI - International Computer Science Institute / Berkeley 89-062, 1989, pp. I-VI, 1-143 - [c4]Phillip B. Gibbons:
A More practical PRAM Model. SPAA 1989: 158-168 - 1988
- [c3]Phillip B. Gibbons, Richard M. Karp, Gary L. Miller, Danny Soroker:
Subtree Isomorphism is in Random NC. AWOC 1988: 43-52 - 1987
- [j1]Phillip B. Gibbons:
A Stub Generator for Multilanguage RPC in Heterogeneous Environments. IEEE Trans. Software Eng. 13(1): 77-87 (1987) - 1986
- [c2]Steven S. Muchnick, Phillip B. Gibbons:
Efficient instruction scheduling for a pipelined architecture (with retrospective). Best of PLDI 1986: 167-174 - [c1]Phillip B. Gibbons, Steven S. Muchnick:
Efficient instruction scheduling for a pipelined architecture. SIGPLAN Symposium on Compiler Construction 1986: 11-16
Coauthor Index
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