Norifumi Yoshimatsu

SysteMorph prototyping on DAP/DNA

Dynamic optimization for software and hardware is gaining attention of computer system researchers. We are researching Systemorph technology. SysteMorph is a dynamic optimization technology proposed by Kyushu University. In this Paper, we discuss SysteMorph prototyping using DAP/DNA to evaluate Systemorph technology.

Analog design optimization methodology for ultralow-power circuits using intuitive inversion-level and saturation-level parameters

A comprehensive design optimization methodology using intuitive nondimensional parameters of inversion-level and saturation-level is proposed, especially for ultralow-power, low-voltage, and high-performance analog circuits with mixed strong, moderate, and weak inversion metal–oxide–semiconductor transistor (MOST) operations. This methodology is based on the synthesized charge-based MOST model composed of Enz–Krummenacher–Vittoz (EKV) basic concepts and advanced-compact-model (ACM) physics-based equations. The key concept of this methodology is that all circuit and system characteristics are described as some multivariate functions of inversion-level parameters, where the inversion level is used as an independent variable representative of each MOST. The analog circuit design starts from the first step of inversion-level design using universal characteristics expressed by circuit currents and inversion-level parameters without process-dependent parameters, followed by the second step of foundry-process-dependent design and the last step of verification using saturation-level criteria. This methodology also paves the way to an intuitive and comprehensive design approach for many kinds of analog circuit specifications by optimization using inversion-level log-scale diagrams and saturation-level criteria. In this paper, we introduce an example of our design methodology for a two-stage Miller amplifier.

Wcloud: "Workshop Cloud" Computing System for Enabling Automotive Control Design in a Collaborative Way

Abstract The complexity of both software and hardware used in automotive control design which is implemented in electric control units (ECU) is increasing. Model based development (MBD) is anticipated to improve productivity in the ECU development, substituting long adopted hardware-based development methodologies. In MBD it is necessary to have all of models to simulate an ECU. Therefore it is crucial to have sufficient of the model. Also collaboration is required when adapting MBD in the automotive industry. Creating a model-exchange market was proposed to accelerate the reusability of models and increase their availability. In this paper we present wCloud (workshop cloud), a cloud based development environment. It contains tools, models, and data that aid in the development of ECU. In the wCloud models are used instead of owned as well as tools and computing resources.

A dynamic reconfigurable processor and a design tool for the next generation ECUs

During the last two decades, electronic control units (ECU) became key components in automotive. This market is consequently getting very competitive and constrictive in term of both demanded functionalities and time to market (TTM). Hence, ECU design bas become very tough and new technical solutions are to be found by manufacturers. In this context, we believe that dynamic reconfigurable processors are a pertinent solution for forthcoming ECU design. In effect they can provide with efficient all-software design flow from high-level languages, as well as higher performance and lower power consumption than general purpose processors. As an illustration, this paper introduces a dynamic reconfigurable processor along with a high-level synthesis design tool.