A reconfigurable computing platform for real time embedded applications

Download

index.pdf

Date

2011

Author

Say, Fatih

Metadata

Show full item record

Item Usage Stats

165
views

121
downloads

Today’s reconfigurable devices successfully combine ‘reconfigurable computing machine’ paradigm and ‘high degree of parallelism’ and hence reconfigurable computing emerged as a promising alternative for computing-intensive applications. Despite its superior performance and lower power consumption compared to general purpose computing using microprocessors, reconfigurable computing comes with a cost of design complexity. This thesis aims to reduce this complexity by providing a flexible and user friendly development environment to application programmers in the form of a complete reconfigurable computing platform. The proposed computing platform is specially designed for real time embedded applications and supports true multitasking by using available run time partially reconfigurable architectures. For this computing platform, we propose a novel hardware task model aiming to minimize logic resource requirement and the overhead due to the reconfiguration of the device. Based on this task model an optimal 2D surface partitioning strategy for managing the hardware resource is presented. A mesh network-on-chip is designed to be used as the communication environment for the hardware tasks and a runtime mapping technique is employed to lower the communication overhead. As the requirements of embedded systems are known prior to field operation, an o ine design flow is proposed for generating the associated bit-stream for the hardware tasks. Finally, an online real time operating system scheduler is given to complete the necessary building blocks of a reconfigurable computing platform suitable for real time computing-intensive embedded applications. In addition to providing a flexible development environment, the proposed computing platform is shown to have better device utilization and reconfiguration time overhead compared to existing studies.

Subject Keywords

Adaptive computing systems., Computing platforms.

URI

http://etd.lib.metu.edu.tr/upload/12613628/index.pdf
https://hdl.handle.net/11511/21204

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A reconfigurable computing platform for real time embedded applications Say, Fatih; Bazlamaçcı, Cüneyt Fehmi (Elsevier BV, 2012-2) Reconfigurable computing is a promising technique for real time computing-intensive embedded applications. In this paper, we propose a novel hardware task model and an optimal 20 surface partitioning strategy for managing a partially run time reconfigurable hardware resource. A mesh network-on-chip is designed to be used as the communication environment for the hardware tasks. An offline design flow is proposed for generating the bit-stream and finally, an online real time operating system scheduler that su...
A Distributed Monitoring and Reconfiguration Approach for Adaptive Network Computing Bhargava, Bharat; Angın, Pelin; Ranchal, Rohit; Lingayat, Sunil (2015-01-01) The past decade has witnessed immense developments in the field of network computing thanks to the rise of the cloud computing paradigm, which enables shared access to a wealth of computing and storage resources without needing to own them. While cloud computing facilitates on-demand deployment, mobility and collaboration of services, mechanisms for enforcing security and performance constraints when accessing cloud services are still at an immature state. The highly dynamic nature of networks and clouds ma...
A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing Angın, Pelin; Jin, Zhongjun (2015-07-02) The rise of the mobile-cloud computing paradigm in recent years has enabled mobile devices with processing power and battery life limitations to achieve complex tasks in real-time. While mobile-cloud computing is promising to overcome the limitations of mobile devices for real-time computing, the lack of frameworks compatible with standard technologies and techniques for dynamic performance estimation and program component relocation makes it harder to adopt mobile-cloud computing at large. Most of the avai...
A Cloud Based Architecture for Distributed Real Time Processing of Continuous Queries Gökalp, Mert Onuralp; Koçyiğit, Altan; Eren, Pekin Erhan (2015-08-28) With the rapid pace of technological advancements in smart device, sensor and actuator technologies, the Internet of Things (IoT) domain has received significant attention. These advances have brought us closer to the ubiquitous computing vision. However, in order to fully realize this vision, devices and applications should rapidly adapt to the changes in the environment and other nearby devices. Most of the existing applications store collected data in a data store and allow users to query stored data to ...
A Cloud Based Workflow for a Finite Element Analysis Preprocessor Kurt, Tolga; Arıcı, Yalın; Kurç, Özgür (2015-03-24) This paper presents a cloud based workflow and a software implementation that has a web-based GUI and a modular backend server which consists of an interface and many worker applications that are distributed over a network of computers or virtual machines. The implemented software is capable of three-dimensional modelling, mesh generation and analysis of large dam models using finite element and analysis. Visualization is performed with a web browser using the JavaScript library three.js which drives the We...

Citation Formats

F. Say, “A reconfigurable computing platform for real time embedded applications,” Ph.D. - Doctoral Program, Middle East Technical University, 2011.