The TRIPS Project

As early career researchers supported by modest grants from the National Science Foundation, we modeled the expected effects of semiconductor scaling trends on computer architectures and built compiler infrastructure to optimize for inevitable heterogeneity in computer architecture. This early work inspired the vision for the UT-TRIPS project, which was subsequently funded by the U.S. Department of Defense, the University of Texas at Austin, multiple computer companies, and a private foundation. This partnership enabled our team to develop novel computer architectures and compiler technologies that demonstrated the viability of highly parallel chip designs that were composed of distributed processing and memory systems components. This article traces the history and ultimate impact of the project.

Authors

Institutions

Publication Details

Journal
Communications of the ACM
Published
2025-11-24
DOI
https://doi.org/10.1145/3760436
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The TRIPS Project

Stephen W. Keckler, Doug Burger, Kathryn S. McKinley
Communications of the ACM
Parallel Computing and Optimization Techniques
article

The TRIPS Project

Stephen W. Keckler, Doug Burger, Kathryn S. McKinley
article en

Abstract

As early career researchers supported by modest grants from the National Science Foundation, we modeled the expected effects of semiconductor scaling trends on computer architectures and built compiler infrastructure to optimize for inevitable heterogeneity in computer architecture. This early work inspired the vision for the UT-TRIPS project, which was subsequently funded by the U.S. Department of Defense, the University of Texas at Austin, multiple computer companies, and a private foundation. This partnership enabled our team to develop novel computer architectures and compiler technologies that demonstrated the viability of highly parallel chip designs that were composed of distributed processing and memory systems components. This article traces the history and ultimate impact of the project.

Communications of the ACMVol. 68(12)
Microsoft (United States) (US), Google (United States) (US), Nvidia (United States) (US), Microsoft Research (United Kingdom) (GB)
Openalex Percentile: Top 60%
Parallel Computing and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.