Ciphering algorithms in MicroBlaze-based embedded systems

Zhou

et al. 2013

IEEE Trans. VLSI Syst.

Abstract-Partially reconfigurable systems are promising computing platforms for streaming applications, which demand both hardware efficiency and reconfigurable flexibility. To realize the full potential of these systems, a streaming-based partially reconfigurable architecture and unified software/hardware multithreaded programming model (SPREAD) is presented in this paper. SPREAD is a reconfigurable architecture with a unified software/hardware thread interface and high throughput pointto-point streaming structure. It supports dynamic computing resource allocation, runtime software/hardware switching, and streaming-based multithreaded management at the operating system level. SPREAD is designed to provide programmers of streaming applications with a unified view of threads, allowing them to exploit thread, data, and pipeline parallelism; it enhances hardware efficiency while simplifying the development of streaming applications for partially reconfigurable systems. Experimental results targeting cryptography applications demonstrate the feasibility and superior performance of SPREAD. Moreover, the parallelized Advanced Encryption Standard (AES), Data Encryption Standard (DES), and Triple DES (3DES) hardware threads on field-programmable gate arrays show 1.61-4.59 times higher power efficiency than their implementations on state-ofthe-art graphics processing units.

Section: F Coarse Level Parallelism Exploitationmentioning

confidence: 86%

Section: Hardware Thread Executionmentioning

confidence: 99%

SPREAD: A Streaming-Based Partially Reconfigurable Architecture and Programming Model

Zhou

et al. 2013

IEEE Trans. VLSI Syst.

“…The design methodology used in this paper is based on the interconnection of the Microblaze microprocessor (from Xilinx) and a fuzzy system developed in hardware, using the Xfuzzy tool [15,16,17,18]. The proposed design methodology involves firstly the fuzzy controller design in software for simulation and testing issues, taking into account the model of the plant.…”

Section: Introductionmentioning

confidence: 99%

NeuroFuzzy Controller Design and FPGA-Based Embedded System for ACROBOT Model

S.E.CastroCaicedo¹

2017

IJCDS

This work presents the modeling and control system design for a robot that rides a bicycle using the well-known Acrobot model for slow speeds, which was finally implemented in an FPGA-based embedded system. In this work the implementation of the controller was achieved for the Acrobot option following two ways. The first one implementation was developed based on modern control theories, involving:(a) the states feedback controller issues based on the appropriated poles allocation, guarantying stability and (b) the designs of a LQR (Linear Quadratic Regulator) type controller that minimizes the criterion of quadratic cost. The second one implementation was in turn achieved by means of some intelligent control methods, involving: (a) artificial neural networks, (c) tuning a neurofuzzy system, which joints the capacity of learning of the neural networks with the power of linguistic interpretation of the fuzzy inference systems (neurofuzzy system ANFIS, Adaptive NeuroFuzzy Systems) and (c) fuzzy logic. For testing the designed controller, a simulator has been also developed and connected to the controller embedded in FPGAs.

“…Soft processor has been used for many application. For example, worm robot [5], automotive application [6], increasing chipering algorithm performance [7], increasing application execution by moving part of the application usually executed by microprocessor into FPGA [8], increasing floating point performance in soft processor [9], FPGA based Programmable Logic Controller (PLC) [10,11], and many more.…”

Section: Introductionmentioning

confidence: 99%

Overview of Custom Microcontroller using Xilinx Zynq XC7Z020 FPGA

2015

This paper presents an overview of customizable microcontroller using a Xilinx Zynq XC7Z020 FPGA as an alternative to increase its performance as user need. This alternative arises due to many of the systems, which developed mostly by using microcontroller are not giving any room for customization to increase its performance or I/O ports. There is any possibility that the system designed to be used by using general processor such as PC to increase its performance but it will give another problem such as interface difficulty for high speed I/O, real time processing, increases complexity, and many more. Customization is introduced by combining hard IP processor and FPGA in one chip instead of practicing two separate devices, processor and FPGA, which is commonly use in high performance embedded design. This approach allows seamless design development and development time reduction for customization.