Philip Levis

Philip Levis

Stanford University

H-index: 67

North America-United States

About Philip Levis

Philip Levis, With an exceptional h-index of 67 and a recent h-index of 39 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Operating Systems, Network Systems, Sensor Networks, Embedded Systems.

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

ALTO: An Efficient Network Orchestrator for Compound AI Systems

Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking

Software defined grid energy storage

GRIP: A graph neural network accelerator architecture

Tighten rust’s belt: shrinking embedded Rust binaries

Tiered trust for useful embedded systems security

Towards retina-quality VR video streaming: 15ms could save you 80% of your bandwidth

Software defined battery-solar systems

Philip Levis Information

University

Position

Professor of Computer Science

Citations(all)

36587

Citations(since 2020)

7889

Cited By

32606

hIndex(all)

67

hIndex(since 2020)

39

i10Index(all)

141

i10Index(since 2020)

78

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Philip Levis Skills & Research Interests

Operating Systems

Network Systems

Sensor Networks

Embedded Systems

Top articles of Philip Levis

Title

Journal

Author(s)

Publication Date

ALTO: An Efficient Network Orchestrator for Compound AI Systems

arXiv preprint arXiv:2403.04311

Keshav Santhanam

Deepti Raghavan

Muhammad Shahir Rahman

Thejas Venkatesh

Neha Kunjal

...

2024/3/7

Cornflakes: Zero-Copy Serialization for Microsecond-Scale Networking

Deepti Raghavan

Shreya Ravi

Gina Yuan

Pratiksha Thaker

Sanjari Srivastava

...

2023/10/23

Software defined grid energy storage

Sonia Martin

Nicholas Mosier

Obi Nnorom Jr

Yancheng Ou

Liana Patel

...

2022/11/9

GRIP: A graph neural network accelerator architecture

IEEE Transactions on Computers

Kevin Kiningham

Philip Levis

Christopher Ré

2022/8/17

Tighten rust’s belt: shrinking embedded Rust binaries

Hudson Ayers

Evan Laufer

Paul Mure

Jaehyeon Park

Eduardo Rodelo

...

2022/6/14

Tiered trust for useful embedded systems security

Hudson Ayers

Prabal Dutta

Philip Levis

Amit Levy

Pat Pannuto

...

2022/4/5

Towards retina-quality VR video streaming: 15ms could save you 80% of your bandwidth

ACM SIGCOMM Computer Communication Review

Luke Hsiao

Brooke Krajancich

Philip Levis

Gordon Wetzstein

Keith Winstein

2022/3/1

Software defined battery-solar systems

Sonia Martin

Obi Nnorom Jr

Oskar Triebe

Liana Patel

Philip Levis

...

2022/11/9

Clamor: Extending Functional Cluster Computing Frameworks with Fine-Grained Remote Memory Access

Pratiksha Thaker

Hudson Ayers

Deepti Raghavan

Ning Niu

Philip Levis

...

2021/11/1

Breakfast of champions: towards zero-copy serialization with NIC scatter-gather

Deepti Raghavan

Philip Levis

Matei Zaharia

Irene Zhang

2021/6/1

Power clocks: Dynamic multi-clock management for embedded systems

6th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS 2020)

Holly Chiang

Hudson Ayers

2021/2

GReTA: Hardware optimized graph processing for GNNs

Proceedings of the Workshop on Resource-Constrained Machine Learning (ReCoML 2020)

Kevin Kiningham

Philip Levis

Christopher Ré

2020/3/4

Accelerating Distributed Graphical Fluid Simulations with Micro‐partitioning

Computer Graphics Forum

Hang Qu

Omid Mashayekhi

Chinmayee Shah

Philip Levis

2020/2

{POSH}: A {Data-Aware} Shell

Deepti Raghavan

Sadjad Fouladi

Philip Levis

Matei Zaharia

2020

Creating hardware component knowledge bases with training data generation and multi-task learning

ACM Transactions on Embedded Computing Systems (TECS)

Luke Hsiao

Sen Wu

Nicholas Chiang

Christopher Ré

Philip Levis

2020/9/29

Learning in situ: a randomized experiment in video streaming

Francis Y Yan

Hudson Ayers

Chenzhi Zhu

Sadjad Fouladi

James Hong

...

2020

Approximate partition selection for big-data workloads using summary statistics

arXiv preprint arXiv:2008.10569

Kexin Rong

Yao Lu

Peter Bailis

Srikanth Kandula

Philip Levis

2020/8/24

See List of Professors in Philip Levis University(Stanford University)

Co-Authors

H-index: 161
Scott Shenker

Scott Shenker

University of California, Berkeley

H-index: 153
Ion Stoica

Ion Stoica

University of California, Berkeley

H-index: 132
David CULLER

David CULLER

University of California, Berkeley

H-index: 112
Samuel Madden

Samuel Madden

Massachusetts Institute of Technology

H-index: 79
Eric Brewer

Eric Brewer

University of California, Berkeley

H-index: 61
Sachin Katti

Sachin Katti

Stanford University

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