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A framework for estimation and minimizing energy dissipation of embedded HW/SW systems
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 35th annual Design Automation Conference table of contents
San Francisco, California, United States
Pages: 188 - 193  
Year of Publication: 1998
ISBN:0-89791-964-5
Authors
Yanbing Li  Department of Electrical Engineering, Princeton University, Princeton, NJ
Jörg Henkel  C&C Research Laboratories, NEC USA, 4 Independence Way, Princeton, NJ
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
EDAC : Electronic Design Automation Consortium
IEEE-CS : Computer Society
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 43,   Citation Count: 53
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ABSTRACT

Embedded system design is one of the most challenging tasks in VLSI CAD because of the vast amount of system parameters to fix and the great variety of constraints to meet. In this paper we focus on the constraint of low energy dissipation, an indispensable peculiarity of embedded mobile computing systems. We present the first comprehensive framework that simultaneously evaluates the tradeoffs of energy dissipations of software and hardware such as caches and main memory. Unlike previous work in low power research which focused only on software or hardware, our framework optimizes system parameters to minimize energy dissipation of the overall system. The trade-off between system performance and energy dissipation is also explored. Experimental results show that our Avalanche framework can drastically reduce system energy dissipation.


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.

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CITED BY  53

Collaborative Colleagues:
Yanbing Li: colleagues
Jörg Henkel: colleagues