ACM Home Page
Please provide us with feedback. Feedback
Thermal sensor allocation and placement for reconfigurable systems
Full text PdfPdf (94 KB)
Source International Conference on Computer Aided Design archive
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design table of contents
San Jose, California
SESSION: Thermal and variability issues in architectures table of contents
Pages: 437 - 442  
Year of Publication: 2006
ISBN ~ ISSN:1092-3152 , 1-59593-389-1
Authors
Rajarshi Mukherjee  Synopsys, Inc., Mountain View, CA
Somsubhra Mondal  Northwestern University, Evanston, IL
Seda Ogrenci Memik  Northwestern University, Evanston, IL
Sponsors
IEEE-CS : Computer Society
IEEE-CAS : Circuits & Systems
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 16,   Downloads (12 Months): 62,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1233501.1233588
What is a DOI?

ABSTRACT

Temperature monitoring using thermal sensors is an essential tool for evaluating the thermal behavior and sustaining the reliable operation in high-performance and high-power systems. With current technology scaling and integration trends timely and accurate detection of localized heating will be evermore important. In this work, we address the creation of a resource efficient sensor infrastructure for computing systems that are of regular nature, such as logic array-based computing platforms. We propose algorithms to embed thermal sensors into a regular structure to minimize the number of sensors and determine sensor locations required to maintain a given accuracy in temperature sensing for a given design. Our algorithms are tailored for minimal usage of thermal sensors to suit a variety of architectural conditions. For programmable logic arrays the highly application-specific usage of the hardware resources leads to unpredictable thermal profiles. As a result, post-manufacture instantiation of thermal sensors is desired, which in turn demands the use of native hardware resources, which can be scarce. We demonstrate that using our techniques the number of sensors required to monitor a set of hotspots is reduced by 75% on an average, across different sizes of logic arrays for different hotspot distributions compared to a uniform distribution of sensors throughout the fabrics.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Altera. Excalibur Device Overview.
 
2
Xilinx, PowerPC in Virtex-4 FX.
 
3
Lesea, A. and M. Alexander. Powering Xilinx FPGAs. 2002
 
4
Gunther, S., et al., Managing the impact of increasing microprocessor power consumption. Intel Technology Journal, February 2001.
 
5
Xilinx. Answers Database: Virtex/Virtex-E/Virtex-II/Virtex Pro/Virtex-4 - What are temperature-sensing diode pins (DXP and DXN, TDN and TDP)? 2005
 
6
 
7
Lopez-Buedo, S., J. Garrido, and E. I. Boemo, Dynamically Inserting, Operating, and Eliminating Thermal Sensors of FPGA-based Systems. IEEE Transactions on Components and Packaging Technologies, 2002. <b>25</b>(4): p. 561--566.
 
8
 
9
Mukherjee, R., S. Mondal, and S. O. Memik. A Sensor Distribution Algorithm for FPGAs with Minimal Dynamic Reconfiguration Overhead. in To appear in International Conference on Engineering of Reconfigurable Systems and Algorithms. 2006.
 
10
Mondal, S., R. Mukherjee, and S. O. Memik. Fine-Grain Thermal Profiling and Sensor Insertion for FPGAs. in IEEE International Symposium on Circuits and Systems 2006.
 
11
MacQueen, J. Some Methods for Classification and Analysis of Multivariate Observations. in Fifth Berkeley Symposium on Mathematical Statistics and Probability. 1967.
 
12
Meguerdichian, S., et al. Coverage Problems in Wireless Ad-hoc Sensor Networks. in INFOCOM 2001.
 
13
Chvatal, V., A Combinatorial Theorem in Plane Geometry. Journal of Combinatorial Theory 1975. <b>18</b>: p. 39--41.
 
14
15
16
 
17
 
18
Yang, S. Logic Synthesis and Optimization Benchmarks. 1991: Microelectronics Center of North Carolina.
 
19
 
20
Poon, K. K., Power Estimation for Field Programmable Gate Arrays, in Dept. of Electrical and Computer Engg. 1999, University of British Columbia.


Collaborative Colleagues:
Rajarshi Mukherjee: colleagues
Somsubhra Mondal: colleagues
Seda Ogrenci Memik: colleagues