351 research outputs found

    Functional Verification of Large-integers Circuits using a Cosimulation-based Approach

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    Cryptography and computational algebra designs are complex systems based on modular arithmetic and build on multi-level modules where bit-width is generally larger than 64-bit. Because of their particularity, such designs pose a real challenge for verification, in part because large-integer’s functions are not supported in actual hardware description languages (HDLs), therefore limiting the HDL testbench utility. In another hand, high-level verification approach proved its efficiency in the last decade over HDL testbench technique by raising the latter at a higher abstraction level. In this work, we propose a high-level platform to verify such designs, by leveraging the capabilities of a popular tool (Matlab/Simulink) to meet the requirements of a cycle accurate verification without bit-size restrictions and in multi-level inside the design architecture. The proposed high-level platform is augmented by an assertion-based verification to complete the verification coverage. The platform experimental results of the testcase provided good evidence of its performance and re-usability

    Xilinx System Generator Based HW Components for Rapid Prototyping of Computer Vision SW/HW Systems

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    This paper shows how the Xilinx System Generator can be used to develop hardware-based computer vision algorithms from a system level approach without the necessity of in-depth knowing neither a hardware description language nor the particulars of the hardware platform. Also, it is demonstrated that Simulink can be employed as a co-design and co-simulation platform for rapid prototyping of Computer Vision HW/SW systems. To do this, a library of optimized image processing components based on XSG and Matlab has been developed and tested in hybrid schemes including HW and SW modules. As a part of the testing, results of the prototyping and co-simulation of a HW/SW Computer Vision System for the automated inspection of tangerine segments are presented.COSIVA (TIC 2000-1765-C03-02)Escuela TĂ©cnica Superior de IngenierĂ­a Industria

    A coarse-grained dynamically reconfigurable MAC processor for power-sensitive multi-standard devices

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    DRMP, a Dynamically Reconfigurable MAC Processor, is an innovative, dynamically reconfigurable System-on-Chip architecture. The architecture exploits substantial overlaps in the functionality of different wireless MAC layers. Its flexibility is specialized for addressing the requirements of the MAC layer of wireless standards. It is targeted at consumer, multi-standard, handheld devices, and its design is meant to address the balance of flexibility and power-efficiency that this target market demands. The DRMP reconfigures packet-by-packet on the fly, allowing execution of concurrent protocol modes on a single hardware co-processor. An interrupt-driven programming model has also been presented and shown to implement the protocol state-machine of the three protocols on a CPU. These features will allow the DRMP to replace three MAC processors in a hand-held device. The most innovative component of the DRMP architecture is its Interface and Reconfiguration Controller. It uses a combination of asynchronous controllers to dynamically reconfigure the functional units in the architecture and delegate MAC tasks to them. The architecture has been modeled in Simulink at cycle-approximate abstraction. Results of simulations involving transmission and reception of packets have been presented, showing that the platform concurrently handles three protocol streams, reconfigures dynamically, yet meets and exceeds the protocol timing constraints, all at a moderate frequency. Its heterogeneous and coarse-grained functional units, limited connectivity requirements between these units, and proportionally large time that these resources are idle, promise a very modest power-consumption, suitable for mobile devices, while offering flexibility to implement different MAC protocols

    Null Convention Logic applications of asynchronous design in nanotechnology and cryptographic security

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    This dissertation presents two Null Convention Logic (NCL) applications of asynchronous logic circuit design in nanotechnology and cryptographic security. The first application is the Asynchronous Nanowire Reconfigurable Crossbar Architecture (ANRCA); the second one is an asynchronous S-Box design for cryptographic system against Side-Channel Attacks (SCA). The following are the contributions of the first application: 1) Proposed a diode- and resistor-based ANRCA (DR-ANRCA). Three configurable logic block (CLB) structures were designed to efficiently reconfigure a given DR-PGMB as one of the 27 arbitrary NCL threshold gates. A hierarchical architecture was also proposed to implement the higher level logic that requires a large number of DR-PGMBs, such as multiple-bit NCL registers. 2) Proposed a memristor look-up-table based ANRCA (MLUT-ANRCA). An equivalent circuit simulation model has been presented in VHDL and simulated in Quartus II. Meanwhile, the comparison between these two ANRCAs have been analyzed numerically. 3) Presented the defect-tolerance and repair strategies for both DR-ANRCA and MLUT-ANRCA. The following are the contributions of the second application: 1) Designed an NCL based S-Box for Advanced Encryption Standard (AES). Functional verification has been done using Modelsim and Field-Programmable Gate Array (FPGA). 2) Implemented two different power analysis attacks on both NCL S-Box and conventional synchronous S-Box. 3) Developed a novel approach based on stochastic logics to enhance the resistance against DPA and CPA attacks. The functionality of the proposed design has been verified using an 8-bit AES S-box design. The effects of decision weight, bitstream length, and input repetition times on error rates have been also studied. Experimental results shows that the proposed approach enhances the resistance to against the CPA attack by successfully protecting the hidden key --Abstract, page iii

    Field programmable gate array implementation of multiwavelet transform based orthogonal frequency division multiplexing system

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    This article offers an efficient design and implementation of a discrete multiwavelet critical-sampling transform based orthogonal frequency division multiplexing (DMWCST-OFDM) transceiver using field programmable gate array (FPGA) platform. The design uses 16-point discrete multiwavelet critical-sampling transform (DMWCST) and its inverse as main processing modules. All modules were designed using a part of Vivado® Design Suite version (2015.2), which is Xilinx system generator (XSG), and is compatible with MATLAB Simulink version R2013b. The FPGA implementation is carried out on a Zynq (XC7Z020-1CLG484) evaluation board with joint test action group (JTAG) hardware co-simulation. According to the results obtained from the implementation tools, the implemented system is efficient in terms of resource utilization and could support the real-time operations

    Implementation of a software defined radio on FPGAs using system generator

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    The aim of this thesis is to implement a Software Defined Radio based wireless communication system using a Xilinx Spartan 3E Field Programmable Gate Array. Software Defined Radio refers to the class of reprogrammable radios in which the same piece of hardware can perform different functions at different times. Xilinx’s System Generator for Digital Signal Processor tool is used to simulate and implement AM modulation on the Spartan 3E Starter Board. The aim of this thesis is to implement a Software Defined Radio based wireless communication system using a Xilinx Spartan 3E Field Programmable Gate Array. Software Defined Radio refers to the class of reprogrammable radios in which the same piece of hardware can perform different functions at different times. Xilinx’s System Generator for Digital Signal Processor tool is used to simulate and implement AM modulation on the Spartan 3E Starter Board

    FPGAs in Industrial Control Applications

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    The aim of this paper is to review the state-of-the-art of Field Programmable Gate Array (FPGA) technologies and their contribution to industrial control applications. Authors start by addressing various research fields which can exploit the advantages of FPGAs. The features of these devices are then presented, followed by their corresponding design tools. To illustrate the benefits of using FPGAs in the case of complex control applications, a sensorless motor controller has been treated. This controller is based on the Extended Kalman Filter. Its development has been made according to a dedicated design methodology, which is also discussed. The use of FPGAs to implement artificial intelligence-based industrial controllers is then briefly reviewed. The final section presents two short case studies of Neural Network control systems designs targeting FPGAs

    An FPGA-based controller for collaborative robotics

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    The use of robots is becoming more common in society. Industrial robots are being developed to work with people, and lower-force collaborative robots are being developed to help people in their everyday lives. These may need fast and sophisticated motion control and behavioral algorithms, but are expected to be more compact and lower cost. This paper proposes a processor plus FPGA solution for the control systems for such robots, where the FPGA performs all real-time tasks, freeing the processor to run lower-frequency high level control and interface to other devices such as camera systems. A demonstrator robot is designed, combining multi-axis motion control with 3D robot vision

    ROACH accelerated BLAST

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    Includes abstract.Includes bibliographical references (p. 115-118).Reconfigurable computing, in recent years, has been taking great strides in becoming part of mainstream computing largely due to the rapid growth in the size of FPGAs and their ability to adapt to certain complex applications efficiently. This dissertation investigates the reuse of application specific hardware developed for radio astronomy in accelerating a popular bioinformatics algorithm
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