In an effort to understand, experience and prove the benefits of automated SoC design, this report describes the specification modeling, design space exploration and implementation of a real world example using SpecC based System on Chip Environment (SCE). The report covers a complete description of developing the specification model of a MPEG-1 Layer 3 (MP3) audio decoder in SpecC language and the subsequent design space exploration and implementation using SCE. This report also attempts to improve the SoC design process by identifying the tasks in specification modeling that can be automated.

Embedded software is playing an increasing role in todays SoC designs. It allows a flexible adaptation to evolving standards and to customer specific demands. As software emerges more and more as a design bottleneck, early, fast, and accurate simulation of software becomes crucial. Therefore, an efficient modeling of programmable processors at high levels of abstraction is required. In this article, we focus on abstraction of computation and describe our abstract modeling of embedded processors. We combine the computation modeling with task scheduling support and accurate interrupt handling into a versatile, multi-faceted processor model with varying levels of features. Incorporating the abstract processor model into a communication model, we achieve fast co-simulation of a complete custom target architecture for a system level design exploration. We demonstrate the effectiveness of our approach using an industrial strength telecommunication example executing on a Motorola DSP architecture. Our results indicate the tremendous value of abstract processor modeling. Different feature levels achieve a simulation speedup of up to 6600 times with an error of less than 8 % over a ISS based simulation. On the other hand, our full featured model exhibits a 3 % error in simulated timing with a 1800 times speedup.

Current Application Specific Instruction set Processor (ASIP) design methodologies are mostly based on iterative architecture exploration that uses Architecture Description Languages (ADLs) and retargetable software development tools. However, for improved design efficiency, additional pre-architecture exploration tools are required to help narrow-down the huge design space and making coarsegrained Instruction Set Architecture (ISA) decisions before detailed ADL modeling. Extensive application code profiling is the key in such early design stages. Based on a novel code instrumentation technology, we present a microprofiling approach that fills the current gap between sourcelevel and instruction-level profilers and combines their advantages w.r.t. speed and accuracy. We show how the microprofiler is embedded into an advanced ASIP design flow and justify its use in a case study to design an MP3 decoder ASIP. 1.

Abstract System level design is considered a major approach to tackle the complexity of modern System-on-Chip designs. Embedded software within SoCs is gaining importance as it addresses the increasing need for flexible and feature-rich solutions. Therefore, integrating software design and co-simulation into a system level design flow is highly desirable. In this article, we present the software perspective within our systemlevel design flow. We address three major aspects: (1) modeling of a processor (from abstract to ISS-based), (2) porting of an RTOS, and (3) the embedded software generation including RTOS targeting. We describe these aspects based on a case study for the ARM7TDMI processor. We show processor models including a cycle-accurate ISSbased model (using SWARM), which executes the RTOS MicroC/OS-II. We demonstrate our flow with an automotive application of anti-lock breaks using one ECU and CAN-connected sensors. Our experimental results show that automatic SW generation is achievable and that SW designers can utilize the system level benefits. This allows the designer to develop applications more efficiently at the abstract system level.

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This paper presents a new technique, called Adaptive Stochastic Gradient Voltage-and-Task Scheduling (ASG-VTS), for power optimization of multicore hard realtime systems. ASG-VTS combines stochastic and energy-gradient techniques to simultaneously solve the slack distribution and task reordering problem. It produces very efficient results with few mode transitions. Our experiments show that ASG-VTS reduces number of mode transitions by 4.8 times compared to traditional energy-gradient-based approaches. Also, our heuristic algorithm can quickly find a solution that is as good as the optimal for a real-life GSM encoder/decoder benchmark. The runtime of ASG-VTS is 150 times and 1034 times faster than energy-gradient based and optimal ILP algorithms, respectively. Since the runtime of ASG-VTS is very low, it is ideal for design space exploration in system-level design tools. We have also developed a web-based interface for ASG-VTS algorithm. Categories and Subject Descriptors: C.3 [Special-Purpose and Application-Based Systems]: — Real-time and embedded systems; J.6 [Computer-Aided Engineering]: —Computer-aided design

Abstract — At system level, intensively analyzing the system application will produce a variety of useful characteristics and provide designers valuable exploration indications. In this paper, we present such an analysis approach based on the instrumentationbased profiling. The proposed approach analyzes complex system application and generates multi-metric and multi-entity characteristics. Experimental results show the applicability of the approach for efficient early design space exploration. I.

Abstract — Embedded software is playing an increasing role in todays SoC designs. It allows a flexible adaptation to evolving standards and to customer specific demands. As software emerges more and more as a design bottleneck, early, fast, and accurate simulation of software becomes crucial. Therefore, an efficient modeling of programmable processors at high levels of abstraction is required. In this article, we focus on abstraction of computation and describe our abstract modeling of embedded processors. We combine the computation modeling with task scheduling support and accurate interrupt handling into a versatile, multi-faceted processor model with varying levels of features. Incorporating the abstract processor model into a communication model, we achieve fast co-simulation of a complete custom target architecture for a system level design exploration. We demonstrate the effectiveness of our approach using an industrial strength telecommunication example executing on a Motorola DSP architecture. Our results indicate the tremendous value of abstract processor modeling. Different feature levels achieve a simulation speedup of up to 6600 times with an error of less than 8 % over a ISS based simulation. On the other hand, our full featured model exhibits a 3 % error in simulated timing with a 1800 times speedup. I.