Patrick Hanrahan

Patrick Hanrahan

Stanford University

H-index: 97

North America-United States

About Patrick Hanrahan

Patrick Hanrahan, With an exceptional h-index of 97 and a recent h-index of 48 (since 2020), a distinguished researcher at Stanford University, specializes in the field of computer graphics, visualization, parallel computing.

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

Improving Energy Efficiency of CGRAs with Low-Overhead Fine-Grained Power Domains

Apex: A framework for automated processing element design space exploration using frequent subgraph analysis

Aha: An agile approach to the design of coarse-grained reconfigurable accelerators and compilers

PEak: A Single Source of Truth for Hardware Design and Verification

Light field rendering

Reflection from layered surfaces due to subsurface scattering

R2e2: Low-latency path tracing of terabyte-scale scenes using thousands of cloud cpus

Modular information flow through ownership

Patrick Hanrahan Information

University

Position

___

Citations(all)

54709

Citations(since 2020)

13962

Cited By

48169

hIndex(all)

97

hIndex(since 2020)

48

i10Index(all)

200

i10Index(since 2020)

121

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Patrick Hanrahan Skills & Research Interests

computer graphics

visualization

parallel computing

Top articles of Patrick Hanrahan

Title

Journal

Author(s)

Publication Date

Improving Energy Efficiency of CGRAs with Low-Overhead Fine-Grained Power Domains

ACM Transactions on Reconfigurable Technology and Systems

Ankita Nayak

Keyi Zhang

Rajsekhar Setaluri

Alex Carsello

Makai Mann

...

2023/4/3

Apex: A framework for automated processing element design space exploration using frequent subgraph analysis

Jackson Melchert

Kathleen Feng

Caleb Donovick

Ross Daly

Ritvik Sharma

...

2023/3/25

Aha: An agile approach to the design of coarse-grained reconfigurable accelerators and compilers

ACM Transactions on Embedded Computing Systems

Kalhan Koul

Jackson Melchert

Kavya Sreedhar

Leonard Truong

Gedeon Nyengele

...

2023/1/24

PEak: A Single Source of Truth for Hardware Design and Verification

arXiv preprint arXiv:2308.13106

Caleb Donovick

Ross Daly

Jackson Melchert

Lenny Truong

Priyanka Raina

...

2023/8/24

Light field rendering

Marc Levoy

Pat Hanrahan

2023/8/1

Reflection from layered surfaces due to subsurface scattering

Pat Hanrahan

Wolfgang Krueger

2023/8/1

R2e2: Low-latency path tracing of terabyte-scale scenes using thousands of cloud cpus

ACM Transactions on Graphics (TOG)

Sadjad Fouladi

Brennan Shacklett

Fait Poms

Arjun Arora

Alex Ozdemir

...

2022/7/22

Modular information flow through ownership

Will Crichton

Marco Patrignani

Maneesh Agrawala

Pat Hanrahan

2022/6/9

Synthesizing Instruction Selection Rewrite Rules from RTL using SMT.

Ross Daly

Caleb Donovick

Jackson Melchert

Rajsekhar Setaluri

Nestan Tsiskaridze

...

2022/10/12

2019 ACM Turing Award Lecture

Ed Catmull

Pat Hanrahan

2022/8/16

Clockwork: Resource-efficient static scheduling for multi-rate image processing applications on FPGAs

Dillon Huff

Steve Dai

Pat Hanrahan

2021/5/9

The role of working memory in program tracing

Will Crichton

Maneesh Agrawala

Pat Hanrahan

2021/5/6

Automated design space exploration of cgra processing element architectures using frequent subgraph analysis

arXiv preprint arXiv:2104.14155

Jackson Melchert

Kathleen Feng

Caleb Donovick

Ross Daly

Clark Barrett

...

2021/4/29

Experimental Analysis of Multiple Scattering BRDF Models

Feng Xie

James Bieron

Pieter Peers

Pat Hanrahan

2021/12/14

Automating program structure classification

Will Crichton

Georgia Gabriela Sampaio

Pat Hanrahan

2021/3/3

Thallo–scheduling for high-performance large-scale non-linear least-squares solvers

ACM Transactions on Graphics (TOG)

Michael Mara

Felix Heide

Michael Zollhöfer

Matthias Nießner

Pat Hanrahan

2021/9/24

What Are Semantics for Hardware?

Workshop on Languages, Tools, and Techniques for Accelerator Design (LATTE)

Gilbert Bernstein

Ross Daly

Jonathan Ragan-Kelley

Pat Hanrahan

2021

The Design of RenderMan

IEEE Computer Graphics and Applications

Pat Hanrahan

Edwin Catmull

2021/7/15

Fleet: A framework for massively parallel streaming on FPGAs

James Thomas

Pat Hanrahan

Matei Zaharia

2020/3/9

NYIT Computer Graphics Lab Then and Now

Hank Grebe

Ed Catmull

Alvy Ray Smith

Pat Hanrahan

Theresa Ellis Rygiel

...

2020/8/17

See List of Professors in Patrick Hanrahan University(Stanford University)