Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode

Autor: Snorre Aunet, Francky Catthoor, Yahya H. Yassin, Per Gunnar Kjeldsberg, Magnus Jahre
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Technology
Computer science
Design space exploration
Embedded systems
02 engineering and technology
System scenario
01 natural sciences
Theoretical Computer Science
Information and communication technology: 550 [VDP]
Engineering
System call
0103 physical sciences
0202 electrical engineering
electronic engineering
information engineering
DVFS
GEM5
Energy model
Frequency scaling
Edge computing
010302 applied physics
Emulation
Science & Technology
Computer Science
Information Systems
Engineering
Electrical & Electronic
Energy modeling
020202 computer hardware & architecture
ARM architecture
Microcontroller
Computer engineering
Hardware and Architecture
Control and Systems Engineering
Modeling and Simulation
Computer Science
Signal Processing
System call emulation
Informasjons- og kommunikasjonsteknologi: 550 [VDP]
Information Systems
Zdroj: Journal of Signal Processing Systems
Popis: Stringent power budgets in battery powered platforms have led to the development of energy saving techniques such as Dynamic Voltage and Frequency scaling (DVFS). For embedded system designers to be able to ripe the benefits of these techniques, support for efficient design space exploration must be available in system level simulators. The advent of the edge computing paradigm, with power constraints in the mW domain, has rendered this even more essential. Without a fast and accurate methodology for architecture simulation and energy estimation, the benefit of new ideas and solutions cannot be evaluated. In this paper, we propose a non-intrusive application controlled DVFS management implementation in the GEM5 simulator, used with GEM5’s system call emulation mode. We also propose a novel architecture independent energy model based on categorization of different measurable workload classes. Our energy model is parametrized and calibrated with power measurements on a SAM4L microcontroller board, containing an ARM Cortex M4 processor. Together with the GEM5 output statistics, the model accurately estimates the total energy consumption of our simulated system. The results from our modified GEM5 simulator are validated with representative signal processing applications. After correction of systematic offset errors, our results deviate with less than 4% compared to measurements from the SAM4L microcontroller. Our contributions in this paper can easily be tailored to other processor models in GEM5 and to future versions of GEM5. It will therefore enable system architects to explore new techniques and compare the improvements relative to existing architectures.
Databáze: OpenAIRE
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