93 research outputs found

    JetStream : an open-source high-performance PCI express 3 streaming library for FPGA-to-host and FPGA-to-FPGA communication

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    Many FPGA-based accelerators are constrained by the available resources and multi-FPGA solutions can be necessary for building more capable systems. Available PCIe solutions provide only FPGA-to-Host communication. In this paper we present JetStream, an open-source1 modular PCIe 3 library, supporting not only fast FPGA-to-Host communication, but also allowing direct FPGA-to-FPGA communication which fully bypasses the memory subsystem. The direct mode saves memory bandwidth for multicast modes and permits to connect multiple FPGAs in various software defined topologies. We show the benefits of JetStream with a large FIR filter spanning four FPGA boards, achieving throughputs of up to 7.09 GB/s per link. Utilizing direct FPGA-to-FPGA transfers reduces the required memory bandwidth by up to 75%

    A Chip off the Old Block or a New Direction for Payment Card Security? The Law and Economics of the U.S. Transition to EMV

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    Article published in the Michigan State Law Review

    A Practical Hardware Implementation of Systemic Computation

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    It is widely accepted that natural computation, such as brain computation, is far superior to typical computational approaches addressing tasks such as learning and parallel processing. As conventional silicon-based technologies are about to reach their physical limits, researchers have drawn inspiration from nature to found new computational paradigms. Such a newly-conceived paradigm is Systemic Computation (SC). SC is a bio-inspired model of computation. It incorporates natural characteristics and defines a massively parallel non-von Neumann computer architecture that can model natural systems efficiently. This thesis investigates the viability and utility of a Systemic Computation hardware implementation, since prior software-based approaches have proved inadequate in terms of performance and flexibility. This is achieved by addressing three main research challenges regarding the level of support for the natural properties of SC, the design of its implied architecture and methods to make the implementation practical and efficient. Various hardware-based approaches to Natural Computation are reviewed and their compatibility and suitability, with respect to the SC paradigm, is investigated. FPGAs are identified as the most appropriate implementation platform through critical evaluation and the first prototype Hardware Architecture of Systemic computation (HAoS) is presented. HAoS is a novel custom digital design, which takes advantage of the inbuilt parallelism of an FPGA and the highly efficient matching capability of a Ternary Content Addressable Memory. It provides basic processing capabilities in order to minimize time-demanding data transfers, while the optional use of a CPU provides high-level processing support. It is optimized and extended to a practical hardware platform accompanied by a software framework to provide an efficient SC programming solution. The suggested platform is evaluated using three bio-inspired models and analysis shows that it satisfies the research challenges and provides an effective solution in terms of efficiency versus flexibility trade-off

    Efficient multiplier-less VLSI architectures for folded pipelined complex FFT core

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    Fast Fourier transform (FFT) has become ubiquitous in many engineering applications. FFT is one of the most employed blocks in many communication and signal processing systems. Efficient algorithms are being designed to improve the architecture of FFT. Higher radix FFT algorithms have the traditional advantage of using less number of computational elements and are more suitable for calculating FFT of long data sequence. Among the different proposed algorithms, the split-radix FFT has shown considerable improvement in terms of reducing hardware complexity of the architecture compared to radix-2 and radix-4 FFT algorithms. Here radix-4, radix-8, and split-radix algorithms have been used in the design of different proposed complex FFT cores. The growing popularity of adopting virtual instrumentation (modular, customizable, software-defined instrumentation) has only became possible due to the use of LabVIEW with a highly interactive process known as graphical system design. The CompactRIO programmable automation controller is an advanced embedded control and data acquisition system designed for applications that require high performance and reliability. The work explains the real-time implementation of 256-point FFT and finding the power spectrum using LabVIEW and CompactRIO. New distributed arithmetic (NEDA) is one of the most used techniques in implementing multiplier-less architectures of many digital systems. In this thesis, four architectures for different FFT cores have been proposed: • Real-time implementation of FFT using CompactRIO • 32-Point Complex FFT Core Using Split-Radix Algorithm • 64-Point Complex FFT Core Using Radix-4 Algorithm • 64-Point Complex FFT Core Using Radix-8 Algorithm The proposed designs have implemented in both FPGA as well as ASIC design flows. 180nm process technology is being used for ASIC implementation. The results show the improvements of proposed designs compared to the other existing architectures

    Bulloch Herald

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    https://digitalcommons.georgiasouthern.edu/bulloch-news-issues/4509/thumbnail.jp

    A Chip off the Old Block or a New Direction for Payment Card Security? The Law and Economics of the U.S. Transition to EMV

    Get PDF
    Article published in the Michigan State Law Review
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