1,449 research outputs found
Towards a Scalable Hardware/Software Co-Design Platform for Real-time Pedestrian Tracking Based on a ZYNQ-7000 Device
Currently, most designers face a daunting task to
research different design flows and learn the intricacies of
specific software from various manufacturers in
hardware/software co-design. An urgent need of creating a
scalable hardware/software co-design platform has become a key
strategic element for developing hardware/software integrated
systems. In this paper, we propose a new design flow for building
a scalable co-design platform on FPGA-based system-on-chip.
We employ an integrated approach to implement a histogram
oriented gradients (HOG) and a support vector machine (SVM)
classification on a programmable device for pedestrian tracking.
Not only was hardware resource analysis reported, but the
precision and success rates of pedestrian tracking on nine open
access image data sets are also analysed. Finally, our proposed
design flow can be used for any real-time image processingrelated
products on programmable ZYNQ-based embedded
systems, which benefits from a reduced design time and provide a
scalable solution for embedded image processing products
Hardware/Software Codesign
The current state of the art technology in integrated circuits allows the incorporation of multiple processor cores and memory arrays, in addition to application specific hardware, on a single substrate. As silicon technology has become more advanced, allowing the implementation of more complex designs, systems have begun to incorporate considerable amounts of embedded software [3]. Thus it becomes increasingly necessary for the system designers to have knowledge on both hardware and software to make efficient design tradeoffs. This is where hardware/software codesign comes into existence
Hardware/software codesign of configurable fuzzy control systems
Fuzzy inference techniques are an attractive and well-established approach for solving control problems. This is mainly
due to their inherent ability to obtain robust, low-cost controllers from the intuitive (and usually ambiguous or incomplete)
linguistic rules used by human operators when describing the control process. This paper focuses on the hardware/software
codesign of configurable fuzzy control systems. Two prototype systems implemented on general-purpose development boards
are presented. In both of them, hardware components are based on specific and configurable fuzzy inference architecture
whereas software tasks are supported by a microcontroller. The first prototype uses an off-the-shelf microcontroller and a
low-complexity Xilinx XC4005XL field programmable gate array (FPGA). The second one is implemented as a system on
programmable chip (SoPC), integrating the microcontroller together with the fuzzy hardware architecture and its interface
circuits into a Xilinx Spartan2E200 FPGA.Comisión Interministerial de Ciencia y Tecnología TIC2001-1726-C02-0
An evolutionary approach to the use of petri net based models : from parallel controllers to Hw/Sw codesign
The main purpose of this article is to present how Petri Nets (PNs) have been
used for hardware design at our research laboratory. We describe the use of PN
models to specify synchronous parallel controllers and how PN specifications
can be extended to include the behavioural description of the data path, by using
object-oriented concepts. Some hierarchical mechanisms which deal with the
specification of complex digital systems are highlighted. It is described a design
flow that includes, among others, the automatic generation of VHDL code to synthesize
the control unit of the system. The use of PNs as part of a multiple-view
model within an object-oriented methodology for hardware/software codesign
is debated. The EDgAR-2 platform is considered as the reconfigurable target
architecture for implementing the systems and its main characteristics are shown
A methodology to implement real-time applications on reconfigurable circuits
Special Issue Engineering of Configurable SystemsInternational audienceThis paper presents an extension of our AAA rapid prototyping methodology for the optimized implementation ofreal-time applications onto reconfigurable circuits. This extension is based on an unified model of factorized datadependence graphs as well to specify the application algorihtm, as to deduce the possible implementations ontoreconfigurable hardware, in terms of graphs transformations. This transformation flow has been implemented inSynDEx, a system level CAD software tool
Integrated Design and Implementation of Embedded Control Systems with Scilab
Embedded systems are playing an increasingly important role in control
engineering. Despite their popularity, embedded systems are generally subject
to resource constraints and it is therefore difficult to build complex control
systems on embedded platforms. Traditionally, the design and implementation of
control systems are often separated, which causes the development of embedded
control systems to be highly time-consuming and costly. To address these
problems, this paper presents a low-cost, reusable, reconfigurable platform
that enables integrated design and implementation of embedded control systems.
To minimize the cost, free and open source software packages such as Linux and
Scilab are used. Scilab is ported to the embedded ARM-Linux system. The drivers
for interfacing Scilab with several communication protocols including serial,
Ethernet, and Modbus are developed. Experiments are conducted to test the
developed embedded platform. The use of Scilab enables implementation of
complex control algorithms on embedded platforms. With the developed platform,
it is possible to perform all phases of the development cycle of embedded
control systems in a unified environment, thus facilitating the reduction of
development time and cost.Comment: 15 pages, 14 figures; Open Access at
http://www.mdpi.org/sensors/papers/s8095501.pd
Intelligent Embedded Software: New Perspectives and Challenges
Intelligent embedded systems (IES) represent a novel and promising generation of embedded systems (ES). IES have the capacity of reasoning about their external environments and adapt their behavior accordingly. Such systems are situated in the intersection of two different branches that are the embedded computing and the intelligent computing. On the other hand, intelligent embedded software (IESo) is becoming a large part of the engineering cost of intelligent embedded systems. IESo can include some artificial intelligence (AI)-based systems such as expert systems, neural networks and other sophisticated artificial intelligence (AI) models to guarantee some important characteristics such as self-learning, self-optimizing and self-repairing. Despite the widespread of such systems, some design challenging issues are arising. Designing a resource-constrained software and at the same time intelligent is not a trivial task especially in a real-time context. To deal with this dilemma, embedded system researchers have profited from the progress in semiconductor technology to develop specific hardware to support well AI models and render the integration of AI with the embedded world a reality
An evolutionary approach to the use of Petri net based models: from parallel controllers to HW/SW co-design
"A workshop within the 19th International Conference on Applications and Theory of Petri Nets - ICATPN’1998"The main purpose of this article is to present how Petri Nets (PNs) have been used for hardware design at our research laboratory. We describe the use of PN models to specify synchronous parallel controllers and how PN speci cations can be extended to include the behavioural description of the data path, by using object-oriented concepts. Some hierarchical mechanisms which deal with the speci cation of complex digital systems are highlighted. It is described a design flow that includes, among others, the automatic generation of VHDL code to synthesize the control unit of the system. The use of PNs as part of a multiple-view model within an object-oriented methodology for hardware/software codesign is debated. The EDgAR-2 platform is
considered as the recon gurable target architecture for implementing the systems and its main characteristics are shown
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