Abstract

Microcontrollers to be used in harsh environmental conditions, e.g., at high temperatures or radiation exposition, need to be fabricated in robust technology nodes in order to operate reliably. However, these nodes are considerably larger than cutting-edge semiconductor technologies and provide less speed, drastically reducing system performance. In order to achieve low silicon area costs, low power consumption and reasonable performance, the processor architecture organization itself is a major influential design point. Parameters like data path width, instruction execution paradigm, code density, memory requirements, advanced control flow mechanisms etc., may have large effects on the design constraints. Application characteristics, like exploitable data parallelism and required arithmetic operations, have to be considered in order to use the implemented processor resources efficiently. In this paper, a design space exploration of five different architectures with MIPS- or ARM-compatible instruction set architectures, as well as transport-triggered instruction execution is presented. Using a 0.18 upmu m SOI CMOS technology for high temperature and an exemplary case study from the fields of communication, i.e., powerline communication encoder, the influence of architectural parameters on performance and hardware efficiency is compared. For this application, a transport-triggered architecture configuration has an 8.5times higher performance and 2.4times higher computational energy efficiency at a 1.6times larger total silicon area than an off-the-shelf ARM Cortex-M0 embedded processor, showing the considerable range of design trade-offs for different architectures.

Highlights

  • Automotive, deep-drilling and aerospace applications with on-site microcontrollerlike systems are still an important field of research

  • Since in harsh environment situations these conditions could be constant over a long period of time, we focus on this mode

  • In all processor configurations, instruction memory (I-Mem) and data memory (D-Mem) require more than 80% of the total silicon area

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Summary

Introduction

Automotive, deep-drilling and aerospace applications with on-site microcontrollerlike systems are still an important field of research. Current node sizes are in the range of 1 lm down to 130 nm provided by, e.g., Fraunhofer H035 (350 nm, 250 C, [7]), Vorago HARDSIL (130 nm, 200 C, [6]), Tekmos (0.6 lm, 210 C, [29]), or X-Fab XT018 (180 nm, 175 C, [36]). As a drawback, these large technology nodes only provide a moderate operating frequency, reducing the overall system performance. Considering that the power consumption is usually restricted for embedded applications, the according system’s processor architecture organization has a high impact on the overall efficiency

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