David Brooks

Computer Science

School of Engineering and Applied Sciences

John L. Loeb Associate Professor

of the Natural Sciences and

Associate Professor of

Computer Science

Maxwell Dworkin 141
33 Oxford Street
Cambridge MA 02138

Phone: 617-495-3989
Fax: 617-495-2489

E-mail:

dbrooks {at} eecs.harvard.edu

Curriculum Vitae

 

Research

Courses

My research focuses on the interaction between the architecture and software of computer systems and underlying hardware implementation issues.  My current research includes modeling and design of power and temperature-aware embedded and high-performance computing systems. We are also actively exploring techniques to utilize dynamic compilation infrastructures to address energy reduction and alarm conditions (e.g. di/dt and temperature emergencies) in microprocessors. Finally, we are pushing the bounds of low-power computing by architecting and building custom sensor nodes for wireless sensor networks.

 

CS 141:

Computing Hardware

[Fall '07]

 

CS 246:

Computer Architecture
[Spring '08]

 

Project

Office Hours

TBD

Recent Publications

PhD Students

  • Xiaoyao Liang, Gu-Yeon Wei, and David Brooks, “ReVIVaL: Variation Tolerant Architecture Using Voltage Interpolation and Variable Latency,” 35th International Symposium on Computer Architecture (ISCA-35), Beijing, China, June 2008. (pdf)

  • Benjamin C. Lee and David M. Brooks.  “Efficiency Trends and Limits from Comprehensive Microarchitectural Adaptivity,” International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-XIII), Seattle, WA, March 2008. (pdf)

  • Full Publication List

Tutorials

Opportunities

  • D. Brooks, B. de Supinski, B. Lee, S. McKee, M. Schulz, K. Singh. “Learning and Inference Tutorial (LIT) for Large Design and Parameter Spaces,” International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-XIII), Seattle, WA, March 2008. [Tutorial Website]

  • D. Brooks, B. de Supinski, B. Lee, S. McKee, M. Schulz, K. Singh. “Inference and learning for large scale microarchitectural analysis,” 34th International Symposium on Computer Architecture (ISCA-34), San Diego, CA, June 2007. [Tutorial Website]

  • Z. Hu, D. Brooks, V. Zyuban, “Microarchitecture-Level Power-Performance Simulators: Modeling, Validation, and Impact on Design,” 36th Annual International Symposium on Microarchitecture (Micro-36), San Diego, CA 2003. [Tutorial Website]

 


Postdoctoral Position