1,720,966 research outputs found
A data-flow execution engine for scalable embedded computing
Full text linkNowadays embedded systems are increasingly used in the world of distributed computing to provide more
computational power without having to change the whole system and the programming model. We
propose a DataFlow Execution Engine (DEE) to spawn asynchronous, data-driven threads, among
embedded cores to achieve a seamless distribution of threads without the need of using a distributed
programming model. Our idea relies on the creation of a hardware scheduler that can handle creation,
thread-dependency, and locality of many fine-grained tasks. We present an initial evaluation of our DEE
that is suited for FPGA implementation. Our initial results show the importance of a hardware based
support for such thread execution model
Energy Efficiency Exploration on the ZYNQ Ultrascale+
No full textIn the context of Cyber-Physical Systems (CPSs), Single Board Computers (SBCs) could provide adaptivity for various present and future applications, and permit scalability through clusters of SBCs while possibly save energy consumption. In this paper, we explore energy efficiency of a Zynq Ultrascale+ based board developed in the context of the AXIOM project. While an entire framework based on the Zynq Ultrascale+ is still in progress, the board is already available and capable of running a full Linux OS and it is possible to measure energy consumption. We demonstrate a possible architecture based on DataFlow-Threads (DF-Threads), a novel execution model, on the Zynq Ultrascale+ platform, in order to assess the energy efficiency of DF-Threads. We measured the power consumption, while the RAW and RDMA message types were transceived through board-to-board interconnects
A survey of graph convolutional networks (GCNs) in FPGA-based accelerators
Full text linkThis survey overviews recent Graph Convolutional Networks (GCN) advancements, highlighting their growing significance across various tasks and applications. It underscores the need for efficient hardware architectures to support the widespread adoption and development of GCNs, particularly focusing on platforms like FPGAs known for their performance and energy efficiency. This survey also outlines the challenges in deploying GCNs on hardware accelerators and discusses recent efforts to enhance efficiency. It encompasses a detailed review of the mathematical background of GCNs behind inference and training, a comprehensive review of recent works and architectures, and a discussion on performance considerations and future directions
An FPGA-based Scalable Hardware Scheduler for Data-Flow Models
Full text linkThis paper presents a scheduler for Data-Flow threads implemented in reconfigurable logic for being
deployed on Reconfigurable MPSoCs (i.e., Multi-Processing System on Chips with FPGA). "Data-Flow
threads" (DF-Threads) is a novel execution model for mapping threads on local or distributed cores
transparently to the programmer. This model is capable of being parallelized massively among different
cores and it handles even hundreds of thousands or more Data-Flow threads, and their associated data
frames, in order to distribute them both in a local node and through the network to other nodes in a
transparent way. The Hardware Scheduler (HS) is designed for being used in Programmable Logic (PL) of
MPSoC FPGAs and it deals with the GPP cores, providing them with Data-Flow threads ready to be
executed. The overall design is modeled and tested through the HPLabs COTson simulator. Here we use
the Block Matrix Multiply benchmark to analyze the potentiality of the proposed model
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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