The increasing use of mobile electronic devices forces the design of integrated circuits to consider low power techniques. Current power estimation models for oCs capitalize mostly in the volume of information transmitted through the network. This work presents a more precise oC power estimation model, based in buffer reception rates, according to the traffic scenario applied to the network. Results show the accuracy of the model compared to industrial power estimation tools, with reduced execution time. The proposed method allows exploring the oC design space, being employed to evaluate the benefit on using the multicast service.
Due to the vast number of alternatives in the design space of NoCbased MPSoCs, fast and accurate performance evaluation approaches can result in earlier -and often better -design decisions. Important design metrics for mobile embedded systems include power dissipation and energy consumption. To speed-up the evaluation of such metrics, state-of-the-art research proposes abstract models of the NoC interconnect, employing, for example, TLM SystemC, analytical descriptions and graph descriptions. Power parameters used at higher abstraction models (e.g. TLM) frequently rely upon data generated at lower abstraction levels (e.g. RTL). This paper presents an abstract model of a NoC coupled with a power estimation model, aiming to provide accurate estimations early on the design flow. Despite being abstract, this model considers typical NoC communication behavior such as congestion and burst transmissions, leading to accurate results compared to industrial tools. A proof-of-concept implementation using the Ptolemy II framework demonstrates the strength of this approach, showing that it is possible to use abstract models to estimate power and energy without incurring excessive accuracy loss. Other benefits of abstract modeling are increased system observability and simplicity of design space exploration. System observability is demonstrated with a graphic tool enabling the visualization of the power dissipation at runtime.
The growing concerns of energy efficiency and performance scalability motivate research in the area of manycore embedded systems. The software development of such systems plays an important role on the system performance, while accounting for a significant part of the total energy consumption. Thus, it becomes imperative to consider the software energy consumption at early stages of the software development. This paper proposes an instruction-driven energy analysis approach that provides an accurate and practical way of evaluating software energy cost at the speed of up to 1.8 MIPS. Results show that the accuracy of our approach varies from 0.06% to 8.05% when compared to a gate-level implementation.Keywords -Instruction-driven energy model, fast and accurate energy evaluation, JIT-based simulation, OVP.
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