Phillip Gibbons

Phillip Gibbons

Carnegie Mellon University

H-index: 86

North America-United States

About Phillip Gibbons

Phillip Gibbons, With an exceptional h-index of 86 and a recent h-index of 48 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of parallel computing, databases/big data/cloud computing, distributed/sensor systems, computer architecture.

His recent articles reflect a diverse array of research interests and contributions to the field:

Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance

Federated learning under distributed concept drift

ACM Transactions on

ED-batch: efficient automatic batching of dynamic neural networks via learned finite state machines

Runahead A*: Speculative Parallelism for A* with Slow Expansions

PIM-trie: A Skew-resistant Trie for Processing-in-Memory

ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time

Phillip Gibbons Information

University

Position

___

Citations(all)

35744

Citations(since 2020)

13714

Cited By

26189

hIndex(all)

86

hIndex(since 2020)

48

i10Index(all)

197

i10Index(since 2020)

119

Email

University Profile Page

Google Scholar

Phillip Gibbons Skills & Research Interests

parallel computing

databases/big data/cloud computing

distributed/sensor systems

computer architecture

Top articles of Phillip Gibbons

Title

Journal

Author(s)

Publication Date

Agents of Autonomy: A Systematic Study of Robotics on Modern Hardware

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Mohammad Bakhshalipour

Phillip B Gibbons

2023/12/12

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance

arXiv preprint arXiv:2309.09212

Víctor Mayoral-Vilches

Jason Jabbour

Yu-Shun Hsiao

Zishen Wan

Alejandra Martínez-Fariña

...

2023/9/17

Federated learning under distributed concept drift

Ellango Jothimurugesan

Kevin Hsieh

Jianyu Wang

Gauri Joshi

Phillip B Gibbons

2023/4/11

ACM Transactions on

ACM Transactions on

Edith Cohen

Susanne Albers

Glencora Borradaile

Andrei A Bulatov

Keren Censor-Hillel

...

2023

ED-batch: efficient automatic batching of dynamic neural networks via learned finite state machines

Siyuan Chen

Pratik Pramod Fegade

Tianqi Chen

Phillip Gibbons

Todd Mowry

2023/7/3

Runahead A*: Speculative Parallelism for A* with Slow Expansions

Proceedings of the International Conference on Automated Planning and Scheduling

Mohammad Bakhshalipour

Mohamad Qadri

Dominic Guri

Seyed Borna Ehsani

Maxim Likhachev

...

2023/7/1

PIM-trie: A Skew-resistant Trie for Processing-in-Memory

Hongbo Kang

Yiwei Zhao

Guy E Blelloch

Laxman Dhulipala

Yan Gu

...

2023/6/17

ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time

arXiv preprint arXiv:2305.10611

Pratik Fegade

Tianqi Chen

Phillip B Gibbons

Todd C Mowry

2023/5/17

Rtrbench: A benchmark suite for real-time robotics

Mohammad Bakhshalipour

Maxim Likhachev

Phillip B Gibbons

2022/5/22

The CoRa tensor compiler: Compilation for ragged tensors with minimal padding

Proceedings of Machine Learning and Systems

Pratik Fegade

Tianqi Chen

Phillip Gibbons

Todd Mowry

2022/4/22

MetaSys: A practical open-source metadata management system to implement and evaluate cross-layer optimizations

ACM Transactions on Architecture and Code Optimization (TACO)

Nandita Vijaykumar

Ataberk Olgun

Konstantinos Kanellopoulos

F Nisa Bostanci

Hasan Hassan

...

2022/3/25

Brief Announcement: Spatial Locality and Granularity Change in Caching

Nathan Beckmann

Phillip B Gibbons

Charles McGuffey

2022/7/11

Racod: algorithm/hardware co-design for mobile robot path planning

Mohammad Bakhshalipour

Seyed Borna Ehsani

Mohamad Qadri

Dominic Guri

Maxim Likhachev

...

2022/6/18

Spatial Locality and Granularity Change in Caching

arXiv preprint arXiv:2205.14543

Nathan Beckmann

Phillip B Gibbons

Charles McGuffey

2022/5/28

Driftsurf: Stable-state/reactive-state learning under concept drift

Ashraf Tahmasbi

Ellango Jothimurugesan

Srikanta Tirthapura

Phillip B Gibbons

2021/7/1

Advances and open problems in federated learning

Foundations and trends® in machine learning

Peter Kairouz

H Brendan McMahan

Brendan Avent

Aurélien Bellet

Mehdi Bennis

...

2021/6/22

HerQules: Securing programs via hardware-enforced message queues

Daming D Chen

Wen Shih Lim

Mohammad Bakhshalipour

Phillip B Gibbons

James C Hoe

...

2021/4/19

Cortex: A compiler for recursive deep learning models

Proceedings of Machine Learning and Systems

Pratik Fegade

Tianqi Chen

Phillip Gibbons

Todd Mowry

2021/3/15

The processing-in-memory model

Hongbo Kang

Phillip B Gibbons

Guy E Blelloch

Laxman Dhulipala

Yan Gu

...

2021/7/6

The read-only semi-external model

Guy E Blelloch

Laxman Dhulipala

Phillip B Gibbons

Yan Gu

Charles McGuffey

...

2021

See List of Professors in Phillip Gibbons University(Carnegie Mellon University)

Co-Authors

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