Phillip B. Gibbons

ORCID

Publication Activity (10 Years)

Years Active: 1986-2023
Publications (10 Years): 83

Top Venues

CoRR

SPAA

ISCA

USENIX Annual Technical Conference

University of California at Berkeley, CA, USA (PHD)

Education History

University of California at Berkeley, CA, USA

PHD

Publications

Mohammad Bakhshalipour, Phillip B. Gibbons
Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware. Proc. ACM Meas. Anal. Comput. Syst. 7 (3) (2023)
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time. CoRR (2023)
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
Federated Learning under Distributed Concept Drift. AISTATS (2023)
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)
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)
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 (2023)
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 (2023)
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)
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)
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) (2022)
Mohammad Bakhshalipour, Maxim Likhachev, Phillip B. Gibbons
RTRBench: A Benchmark Suite for Real-Time Robotics. ISPASS (2022)
Nathan Beckmann, Phillip B. Gibbons, Charles McGuffey
Brief Announcement: Spatial Locality and Granularity Change in Caching. SPAA (2022)
Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons
Federated Learning under Distributed Concept Drift. CoRR (2022)
Nathan Beckmann, Phillip B. Gibbons, Charles McGuffey
Spatial Locality and Granularity Change in Caching. CoRR (2022)
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 (2022)
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. MLSys (2022)
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) (2022)
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)
Guy E. Blelloch, Laxman Dhulipala, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun
The Read-Only Semi-External Model. APOCS (2021)
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. CoRR (2021)
Nathan Beckmann, Phillip B. Gibbons, Charles McGuffey
Block-Granularity-Aware Caching. SPAA (2021)
Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
Cortex: A Compiler for Recursive Deep Learning Models. MLSys (2021)
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)
Hongbo Kang, Phillip B. Gibbons, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey
The Processing-in-Memory Model. SPAA (2021)
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 (2021)
Ashraf Tahmasbi, Ellango Jothimurugesan, Srikanta Tirthapura, Phillip B. Gibbons
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift. ICML (2021)
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) (2021)
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) (2020)
Ashraf Tahmasbi, Ellango Jothimurugesan, Srikanta Tirthapura, Phillip B. Gibbons
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift. CoRR (2020)
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons
The Non-IID Data Quagmire of Decentralized Machine Learning. ICML (2020)
Daming D. Chen, Phillip B. Gibbons, Todd C. Mowry
TardisTM: incremental repair for transactional memory. PMAM@PPoPP (2020)
Nathan Beckmann, Phillip B. Gibbons, Bernhard Haeupler, Charles McGuffey
Writeback-Aware Caching. APOCS (2020)
Laxman Dhulipala, Charles McGuffey, Hongbo Kang, Yan Gu, Guy E. Blelloch, Phillip B. Gibbons, Julian Shun
Semi-Asymmetric Parallel Graph Algorithms for NVRAMs. CoRR (2019)
Nathan Beckmann, Phillip B. Gibbons, Bernhard Haeupler, Charles McGuffey
Writeback-Aware Caching (Brief Announcement). SPAA (2019)
Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons
The Non-IID Data Quagmire of Decentralized Machine Learning. CoRR (2019)
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)
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 (2019)
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric 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 R. 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 (2019)
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)
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 (2018)
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)
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)
Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons
MLtuner: System Support for Automatic Machine Learning Tuning. CoRR (2018)
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 (2018)
Guy E. Blelloch, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun
The Parallel Persistent Memory Model. CoRR (2018)
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)
Guy E. Blelloch, Phillip B. Gibbons, Yan Gu, Charles McGuffey, Julian Shun
The Parallel Persistent Memory Model. SPAA (2018)
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 (2018)
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)
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 (2018)
Aaron Harlap, Andrew Chung, Alexey Tumanov, Gregory R. Ganger, Phillip B. Gibbons
Tributary: spot-dancing for elastic services with latency SLOs. USENIX Annual Technical Conference (2018)
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 (2018)
Ellango Jothimurugesan, Ashraf Tahmasbi, Phillip B. Gibbons, Srikanta Tirthapura
Variance-Reduced Stochastic Gradient Descent on Streaming Data. NeurIPS (2018)
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)
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)
Guy E. Blelloch, Phillip B. Gibbons, Harsha Vardhan Simhadri
Provably Efficient Scheduling of Dynamically Allocating Programs on Parallel Cache Hierarchies. HiPC (2017)
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)
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 (2017)
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)
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) (2016)
Phillip B. Gibbons
How Emerging Memory Technologies Will Have You Rethinking Algorithm Design. PODC (2016)
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)
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun
Sorting with Asymmetric Read and Write Costs. CoRR (2016)
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)
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)
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 (2016)
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)
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun
Efficient Algorithms with Asymmetric Read and Write Costs. ESA (2016)
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)
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)
Phillip B. Gibbons
Big data: Scale down, scale up, scale out. IPDPS (2015)
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun
Efficient Algorithms under Asymmetric Read and Write Costs. CoRR (2015)
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)
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)
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)
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Yan Gu, Julian Shun
Sorting with Asymmetric Read and Write Costs. SPAA (2015)
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) (2015)
Phillip B. Gibbons
Living on the Edge with Only Clouds to Fall Back on. MDM (1) (2015)
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)
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) (2015)
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)
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)
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)
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 Annual Technical Conference (2014)
Xiaoning Ding, Phillip B. Gibbons, Michael A. Kozuch, Jianchen Shan
Gleaner: Mitigating the Blocked-Waiter Wakeup Problem for Virtualized Multicore Applications. USENIX Annual Technical Conference (2014)
Phillip B. Gibbons
ACM transactions on parallel computing: An introduction. ACM Trans. Parallel Comput. 1 (1) (2014)
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)
Binbin Chen, Haifeng Yu, Yuda Zhao, Phillip B. Gibbons
The Cost of Fault Tolerance in Multi-Party Communication Complexity. J. ACM 61 (3) (2014)
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)
Vivek Seshadri, Abhishek Bhowmick, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry
The Dirty-Block Index. ISCA (2014)
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) (2014)
Shun-Hsing Ou, Yu-Chen Lu, Jui-Pin Wang, Shao-Yi Chien, Shou-De Lin, Mi-Yen Yeti, Chia-Han Lee, Phillip B. Gibbons, V. Srinivasa Somayazulu, Yen-Kuang Chen
Communication-efficient multi-view keyframe extraction in distributed video sensors. VCIP (2014)
Harsha Vardhan Simhadri, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Aapo Kyrola
Experimental analysis of space-bounded schedulers. SPAA (2014)
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)
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)
Julian Shun, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons
Reducing contention through priority updates. SPAA (2013)
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons, Harsha Vardhan Simhadri
Program-centric cost models for locality. MSPC@PLDI (2013)
Xiaoning Ding, Phillip B. Gibbons, Michael A. Kozuch
A Hidden Cost of Virtualization When Scaling Multicore Applications. HotCloud (2013)
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)
Julian Shun, Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons
Reducing contention through priority updates. PPOPP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Phillip B. Gibbons