NSF Grant for Srivastava, Narayan

NSF Grant for Srivastava, Narayan

NSF Grant for Srivastava, Narayan

Prof. Ankur Srivastava (left) and Prof. Prakash Narayan (right)
Prof. Ankur Srivastava (left) and Prof. Prakash Narayan (right)

Associate Professor Ankur Srivastava (ECE/ISR) and Professor Prakash Narayan (ECE/ISR) have been awarded a new, five-year National Science Foundation (NSF) grant worth $450,000 for a research project titled “Information Theoretic Multi-Core Processor Thermal Profile Estimation.” Srivastava is principal investigator (PI) for the research grant while Narayan is Co-PI.

Dynamic thermal management is the process of controlling surges in the operating temperature, especially of a multicore processor, during runtime based on limited measurements by on-chip thermal sensors. Managing thermal sensors and processing their measurements presents a rich vein of theoretical and practical challenges including: deciding on the number, location and type of thermal sensors; estimating the thermal profile; and characterizing the fundamental performance tradeoffs between sensor quantity and complexity in guaranteeing estimate accuracy. In this interdisciplinary project, Srivatava and Narayan propose a new approach to the problem of thermal profile estimation in multicore processors that relies on fundamental information theoretic principles. Their approach rests on new problems in information theory that capture the salient features of on-chip thermal profile estimation. The associated new formulations are inspired notably by rate distortion theory and also bear a similarity to compressed sensing. Furthermore, the approach has wider applicability to general problems of parameter estimation based on limited sampled and quantized measurements.

The project has a home in computer architecture and VLSI design as well as one in information theory and compressed sensing. Its potential impact is twofold: (a) improvement in the performance and reliability of multicore processors; and (b) introduction of new models and problem formulations in the fields of information theory and compressed sensing. The broad reach of this project will provide a valuable learning environment for the investigators and their graduate and undergraduate students. The basic elements of the technical approach will be discussed in special topics courses and seminars with the participation of graduate students.

For more information about the research, please visit the NSF website.

Related Articles:
Barua Wins NSF Grant
Srivastava Earns Grant for Thermal Management
NSF Grant for Hurricane Forecasting Work
Grant to Improve Data Reliability
NSF Grant for Ephremides
2016 ECE Graduate Open House Streamed Live for Prospective Students
Cumings, Seog Win NSF CAREER Awards for Nanotech
Davis Recognized for Outstanding Research
Ulukus Wins $1.1M Wireless Security Grant
Synchronized Swimming for Submarines

August 10, 2009


Prev   Next

Current Headlines

Energy Research Center battery highlighted on CBS This Morning

2016 ECE Graduate Open House Streamed Live for Prospective Students

UMD's Technica Expected to Be Largest All-Women Hackathon in U.S.

Alumnus Tassiulas Wins 2016 IEEE Kobayashi Award

Garrett Wessler Awarded NSF Graduate Research Fellowship

ECE Researchers Win ICASSP Best Student Paper Award

UMD’s Anya Jones Receives Presidential Early Career Award

CREB Kicks Off its Research and Innovation Seed Grant Program

News Resources

Return to Newsroom

Search News

Archived News

Events Resources

Events Calendar