An Efficient Framework for Power-Aware Design of Heterogeneous MPSoC

Abstract

International audienceCurrently, designing low-power complex embedded systems is a main challenge for corporations in a large number of electronic domains. There are multiple motivations which lead designers to consider low-power design such as increasing lifetime, improving battery longevity, limited battery capacity, and temperature constraints. Unfortunately, there is a lack of efficient methodology and accurate tool to obtain power/energy estimation of a complete system at different abstraction levels. This paper presents a global framework for power/energy estimation and optimization of heterogeneous multiprocessor system-on-chip (MPSoC). Within this framework, a power modeling methodology is defined, and an open platform is developed. Our methodology takes into account all the embedded system relevant aspects; the software, the hardware, and the operating system. The platform stands for Open Power and Energy Optimization PLatform and Estimator (Open-PEOPLE). It includes diverse estimation tools with respect to their abstraction levels in order to cover the overall design flow. Starting from functional estimation and down to real boards measurements, our platform helps designers to develop new power models, to explore new architectures, and to apply optimization techniques in order to reduce energy and power consumption of the system. The usefulness and the effectiveness of the proposed power estimation framework is demonstrated through a typical embedded system conceived around the Xilinx Virtex II Pro FPGA platform

Energy-driven design space exploration of tiling-based accelerators for heterogeneous multiprocessor architectures

“…The exploration problem is multi-objective as it focuses on optimizing performance, power, and cost and is solved using both tracedriven co-simulations and a genetic solver. More recently, new frameworks have been proposed [3], [4], [5]. They mainly rely on high-level simulations combined with power model to estimate the consumed energy.…”

“…DSE was already addressed by a large set of studies. Earlier works have introduced accurate tools based on simulation techniques, e.g., [2], [3], [4], [5]. However with the advent of the many-core era and the explosion of the design space size, the simulation-based approach is no longer an efficient solution.…”

Foundations of Multi-Paradigm Modelling for Cyber-Physical Systems

“…Other Analyses The two analyses presented in the previous sections are very common and essential for embedded systems design. However several other analyses can be conducted from an AADL model such as memory usage, power consumption [17], mass, costs, etc. On the behavior side, verification and validation can also be performed via tools such as the BLESS proof checker [179] and model checking [42,223].…”

Simplifying Many-Core-Based Heterogeneous SoC Programming With Offload Directives

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“…To achieve our goals, we propose minimal extensions to the previous OpenMP v3. 1, emphasizing ease of programming.…”