The XTREM power and performance simulator for the Intel XScale core

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The XTREM power and performance simulator for the Intel XScale core: Design and experiences

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ACM Transactions on Embedded Computing Systems (TECS) archive
Volume 6 , Issue 1 (February 2007) table of contents

SECTION: 1 - Special Section table of contents

Article No. 4

Year of Publication: 2007

ISSN:1539-9087

Authors

Gilberto Contreras	Princeton University, Princeton, NJ
Margaret Martonosi	Princeton University, Princeton, NJ
Jinzhang Peng	Intel Corp., Santa Clara, California
Guei-Yuan Lueh	Intel Corp., Santa Clara, California
Roy Ju	AMD, Sunnyvale, CA

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ACM New York, NY, USA

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ABSTRACT

Managing power concerns in microprocessors has become a pressing research problem across the domains of computer architecture, CAD, and compilers. As a result, several parameterized cycle-level power simulators have been introduced. While these simulators can be quite useful for microarchitectural studies, their generality limits how accurate they can be for any one chip family. Furthermore, their hardware focus means that they do not explicitly enable studying the interaction of different software layers, such as Java applications and their underlying runtime system software. This paper describes and evaluates XTREM, a power-simulation tool tailored for the Intel XScale microarchitecture. In building XTREM, our goals were to develop a microarchitecture simulator that, while still offering size parameterizations for cache and other structures, more accurately reflected a realistic processor pipeline. We present a detailed set of validations based on multimeter power measurements and hardware performance counter sampling. XTREM exhibits an average performance error of only 6.5% and an even smaller average power error: 4%. The paper goes on to present an application study enabled by the simulator. Namely, we use XTREM to produce an energy consumption breakdown for Java CDC and CLDC applications. Our simulator measurements indicate that a large percentage of the total energy consumption (up to 35%) is devoted to the virtual machine's support functions.

REFERENCES

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