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In this brief, we introduce an architecture for accelerating convolution stages in convolutional neural networks (CNNs) implemented in embedded vision systems. The purpose of the architecture is to exploit the inherent parallelism in CNNs to reduce the required bandwidth, resource usage, and power consumption of highly computationally complex convolution operations as required by real-time embedded...
Nowadays, there are many embedded systems with different architectures that have incorporated GPUs. However, it is difficult to develop CPU-GPU embedded systems using component-based development (CBD), since existing CBD approaches have no support for GPU development. In this context, when targeting a particular CPU-GPU platform, the component developer is forced to construct hardware-specific components,...
This paper presents a fast and cycle accurate simulation environment for early power-performance analysis of multi-threaded applications targeted to symmetric multiprocessing embedded architectures. Our simulation environment leverages the hybrid prototyping technique, where a lightweight emulation kernel performs logical simulation of multiple identical cores on top of a single physical instance...
FPGA vendors now include hardened IPs to form a system-on-chip (SoC) making it easier to build embedded systems. However programming and integrating hardware accelerators (devices) into these systems present a challenge. The OpenCL standard has become accepted as a good programming model for managing devices, or hardware accelerators in the context of embedded systems on FPGAs, due to its rich set...
There is now significant interest in OpenCL for FPGAs because it is the first time the FPGA vendors have provided a programming model and a computing platform with integrated high-level synthesis. OpenCL is intended for heterogenous platforms, not just FPGAs, and the standard continues to evolve. Recently, OpenCL has introduced Shared Virtual Memory (SVM) with the goal of simplifying the programming...
Arduino is an open source platform that offers a clear and simple environment for physical computing. It is now widely used in modern robotics and Internet of Things (IoT) applications, due in part to its low-cost, ease of programming, and rapid prototyping capabilities. Sensors and actuators can easily be connected to the analog and digital I/O pins of an Arduino device, which features an on-board...
Currently, Linux operating system has become a research focus in the embedded system field, due to its unique advantages such as open-source and security. In this case, this paper provides an idea to transplant the navigation program from VxWorks system to Linux operating system. Therefore, in order to achieve the objective mentioned above, this paper focuses on the analysis of startup process of...
In order to accelerate smart grid development and promote distribution automation technology for large area application, aiming at the problems of operational difficulties and poor share about data existing in current C/S structure of distribution automation terminal, a design of distribution automation terminal based on 3 layer B/S schema embedded web server is put forward by researching and analyzing...
Multithreading implementation through real time operating system was held in several years to optimize resource management in embedded system. Several side effects, such as large binary size and memory usage were appeared while implementing multithreading mechanism and its supporting mechanism. We developed FLoW to reduce those side effects while performing multithread in embedded system. FLoW implemented...
With the wide application of embedded technology and its products, much attention has been turned to the development of program to improve the safety and reliability of embedded devices. In this paper, we present a construct program of embedded trusted computing environment based on QEMU virtual machine architecture. The proposed program, simulates functions of trusted cryptographic modules by software,...
In this paper, we propose a new approach to data density estimation based on the total sum of distances from a data point, and the recently introduced Recursive Density Estimation technique. It is suitable for autonomous real-time video analytics problems, and has been specifically designed to be executed very fast; it uses integer-only arithmetic with no divisions and no floating point numbers (no...
Most of today's computer systems, including rapidly emerging embedded ones, rely on an operating system. Consequently, the development of embedded systems and related software often requires a deeper understanding of operating systems. This paper presents a new incrementally built operating system and a learning course formed around it. Each increment builds on the previous one and introduces new...
The advent of increasingly powerful low-power processors offers new opportunities for embedded systems. Instead of multiple small microprocessors devoted to a single task, a centralized multi-core processor can be used to run all applications, while ensuring isolation and resources allocation for critical tasks. Seeing a growing interest for bringing virtualization on embedded systems, IP suppliers,...
In this work we consider a security model for resource constrained embedded systems, where memory is sometimes measured in a handful of kilobytes. Such systems normally do not include any security or safety mechanisms. The minority that do provide such functions often do so in an inflexible and ad hoc manner. The simple separation kernel demonstrated in this work enables a dynamic security model with...
Multi-core operating systems inherently face the problem of concurrent access to internal kernel state held in shared memory. Previous work on the Sloth real-time kernel proposed to offload the scheduling decisions to the interrupt hardware, thus removing the need for a software scheduler, no state has to be managed in software. While our existing design covers single-core platforms only, we now present...
Since their introduction in 1995, Support Vector Machines (SVM) have shown that classification by this relatively recent machine learning tool can be more accurate than popular contemporary techniques such as neural networks and decision trees, hence causing it to find its way quickly to various applications in engineering, economy and statistics. Despite their possible advantages, SVM use in space...
Currently, power management methods for embedded system are mainly implementations of DPM or DVS using workload-prediction techniques. A problem for this approach is that they are all purely hardware-oriented, regardless of factors such as software design and user's demands, which actually drive the hardware to generate power consumption. In this paper, we propose a low power optimizing mechanism...
Fast kernel boot-time is one of the major concerns in industrial embedded systems. Application domains where boot time is relevant include (among others) automation, automotive, avionics etc. Linux is one of the big players among operating system solutions for general embedded systems, hence, a relevant question is how fast Linux can boot on typical hardware platforms (ARM9) used in such industrial...
Future complexity and heterogeneousness of embedded systems will result into problems with compatibility and portability of an application software and also of an operating systems. There is need to change a standard architecture of operating systems to reduce these problems. This paper summarises the proposal and implementation results of a Modular Operating System which presents a novel concept...
This paper describes a methodology for developing abstract and executable system-level model in SystemC of real-time embedded software, targeted to an RTOS. Our objective is to reuse as much of the software as possible to minimize model development time. Therefore, we design a RTOS emulation layer on top of the SystemC kernel. The application software is linked against the emulation layer to create...
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