1,720,960 research outputs found
Electronic device comprising a memory accessible via a JTAG interface, and corresponding method of accessing a memory
Full text linkAn electronic device includes a processing unit with a memory, a JTAG interface with test-data-input and testmode-select lines coupled to the processing unit, a bridge circuit, and a multiplexer circuit. The bridge circuit includes a serial communication interface receiving a serial data input signal which conveys an input serial data frame. The bridge circuit includes a serial-to-parallel converter circuit block receiving the input serial data frame, processing the input serial data frame to read first and second subsets of input binary values therefrom, and transmitting the first subset via a first output signal and the second subset via a second output signal. The multiplexer circuit selectively propagates a received test-data-input signal or the first output signal to the test data input line, and selectively propagates a testmode-select signal or the second output signal to the test mode select line of the JTAG interface
Mix & Latch: High-Performance Designs with Single-Clock Mixed-Polarity Latches and Flip-Flops
Full text linkL'abstract è presente nell'allegato / the abstract is in the attachmen
NN2FPGA: Optimizing CNN Inference on FPGAs With Binary Integer Programming
Full text linkSkip connections have emerged as a key component of modern convolutional neural networks (CNNs) for computer vision tasks, allowing for the creation of more accurate and deeper models by addressing the vanishing gradient problem. However, the existing implementations of field-programmable gate array (FPGA)-based accelerators for ResNets and MobileNetV2 often experience decreased performance and increased computational latency due to the implementation of skip blocks. This paper presents a novel framework for developing deep learning models on FPGAs that focuses on skip connections, with a unique approach to reduce buffering overhead. This results in a more efficient utilization of resources in the implementation of the skip layer. The nn2fpga compiler follows a thorough set of high-level synthesis (HLS) design principles and optimization strategies, exploiting in novel ways standard techniques to effectively map skip connection-based networks into static dataflow accelerators. To maximize throughput and efficiently use the available resources, our compiler employs a fast and effective design space exploration method based on a binary integer programming model which accurately assigns FPGA resources to the network layers, to maximize global throughput under resource constraints and then minimize resources for the achieved maximum throughput. Experimental results on the CIFAR-10 and ImageNet datasets demonstrate substantial gains in throughput (3× to 7× on past HLS-based work) for ResNet8, ResNet20, and MobileNetV2 models deployed on various Xilinx FPGA boards. Notably, MobileNetV2 deployed on the ZCU102 achieves a throughput of 2115 FPS, representing even a 10% speedup over a state-of-the-art highly optimized manual RTL implementation, showing that HLS can actually improve over manual design, thanks to the faster exploration of the design space
LESS: Low-Power Energy-Efficient Subgraph Isomorphism on FPGA
Full text linkLow-power energy-efflcient subgraph isomorphism (LESS) is an open-source field-programmable gate array-only low-memory sub graph matching solver designed for energy efficiency. Depending on the input datagraph, the energy consumption of LESS, averaged on different diverse queries, is up to 38x and 93x lower than CPU and GPU solvers respectively
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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