4,908 research outputs found
Models for Co-Design of Heterogeneous Dynamically Reconfigurable SoCs
International audienceThe design of Systems-on-Chip is becoming an increasing difficult challenge due to the continuous exponential evolution of the targeted complex architectures and applications. Thus, seamless methodologies and tools are required to resolve the SoC design issues. This chapter presents a high level component based approach for expressing system reconfigurability in SoC co-design. A generic model of reactive control is presented for Gaspard2, a SoC co-design framework. Control integration in different levels of the framework is explored along with a comparison of their advantages and disadvantages. Afterwards, control integration at another high abstraction level is investigated which proves to be more beneficial then the other alternatives. This integration allows to integrate reconfigurability features in modern SoCs. Finally a case study is presented for validation purposes. The presented works are based on Model-Driven Engineering (MDE) and UML MARTE profile for modeling and analysis of real-time embedded systems
Path Planning for Reconfigurable Rovers in Planetary Exploration
This paper introduces a path planning algorithm
that takes into consideration different locomotion modes in a
wheeled reconfigurable rover. Power consumption and traction
are estimated by means of simplified dynamics models for each
locomotion mode. In particular, wheel-walking and normaldriving
are modeled for a planetary rover prototype. These
models are then used to define the cost function of a path
planning algorithm based on fast marching. It calculates the
optimal path, in terms of power consumption, between two
positions, providing the most appropriate locomotion mode to
be used at each position. Finally, the path planning algorithm
was implemented in V-REP simulation software and a Martian
area was used to validate it. Results of this contribution also
demonstrate how the use of these locomotion modes would
reduce the power consumption for a particular area.Universidad de Málaga. Campus de Excelencia Internacional AndalucĂa Tech
High level modeling of Partially Dynamically Reconfigurable FPGAs based on MDE and MARTE
International audienceSystem-on-Chip (SoC) architectures are becoming the preferred solution for implementing modern embedded systems. However their design complexity continues to augment due to the increase in integrated hardware resources requiring new design methodologies and tools. In this paper we present a novel SoC co-design methodology based on aModel Driven Engineering framework while utilizing the MARTE (Modeling and Analysis of Real-time and Embedded Systems) standard. This methodology permits us to model fine grain reconfigurable architectures such as FPGAs and allows to extend the standard for integrating new features such as Partial Dynamic Reconfiguration supported by modern FPGAs. The overall objective is to carry out modeling at a high abstraction level expressed in a graphical language like UML (Unified Modeling Language) and afterwards transformations of these models, automatically generate the necessary specifications required for FPGA implementation
Design Space Exploration for Partially Reconfigurable Architectures in Real-Time Systems
International audienceIn this paper, we introduce FoRTReSS (Flow for Reconfigurable archiTectures in Real-time SystemS), a methodology for the generation of partially reconfigurable architectures with real-time constraints, enabling Design Space Exploration (DSE) at the early stages of the development. FoRTReSS can be completely integrated into existing partial reconfiguration flows to generate physical constraints describing the architecture in terms of reconfigurable regions that are used to floorplan the design, with key metrics such as partially reconfigurable area, real-time or external fragmentation. The flow is based upon our SystemC simulator for real-time systems that helps develop and validate scheduling algorithms with respect to application timing constraints and partial reconfiguration physical behaviour. We tested our approach with a video stream encryption/decryption application together with Error Correcting Code and showed that partial reconfiguration may lead to an area improvement up to 38% on some resources without compromising application performance, in a very small amount of time: less than 30 s
A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems
Recent technological advances have greatly improved the performance and
features of embedded systems. With the number of just mobile devices now
reaching nearly equal to the population of earth, embedded systems have truly
become ubiquitous. These trends, however, have also made the task of managing
their power consumption extremely challenging. In recent years, several
techniques have been proposed to address this issue. In this paper, we survey
the techniques for managing power consumption of embedded systems. We discuss
the need of power management and provide a classification of the techniques on
several important parameters to highlight their similarities and differences.
This paper is intended to help the researchers and application-developers in
gaining insights into the working of power management techniques and designing
even more efficient high-performance embedded systems of tomorrow
Task modules Partitioning, Scheduling and Floorplanning for Partially Dynamically Reconfigurable Systems Based on Modern Heterogeneous FPGAs
Modern field programmable gate array(FPGA) can be partially dynamically
reconfigurable with heterogeneous resources distributed on the chip. And
FPGA-based partially dynamically reconfigurable system(FPGA-PDRS) can be used
to accelerate computing and improve computing flexibility.
However, the traditional design of FPGA-PDRS is based on manual design.
Implementing the automation of FPGA-PDRS needs to solve the problems of task
modules partitioning, scheduling, and floorplanning on heterogeneous resources.
Existing works only partly solve problems for the automation process of
FPGA-PDRS or model homogeneous resource for FPGA-PDRS.
To better solve the problems in the automation process of FPGA-PDRS and
narrow the gap between algorithm and application, in this paper, we propose a
complete workflow including three parts, pre-processing to generate the list of
task modules candidate shapes according to the resources requirements,
exploration process to search the solution of task modules partitioning,
scheduling, and floorplanning, and post-optimization to improve the success
rate of floorplan.
Experimental results show that, compared with state-of-the-art work, the
proposed complete workflow can improve performance by 18.7\%, reduce
communication cost by 8.6\%, on average, with improving the resources reuse
rate of the heterogeneous resources on the chip. And based on the solution
generated by the exploration process, the post-optimization can improve the
success rate of the floorplan by 14\%
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