1,720,986 research outputs found
Automated power gating methodology for dataflow-based reconfigurable systems
Modern embedded systems designers are required to implement efficient multi-functional applications, over portable platforms under strong energy and resources constraints. Automatic tools may help them in challenging such a complex scenario: to develop complex reconfigurable systems while reducing time-to-market. At the same time, automated methodologies can aid them to manage power consumption. Dataflow models of computation, thanks to their modularity, turned out to be extremely useful to these purposes. In this paper, we will demonstrate as they can be used to automatically achieve power management since the earliest stage of the design flow. In particular, we are focussing on the automation of power gating. The methodology has been evaluated on an image processing use case targeting an ASIC 90 nm CMOS technology
Translating Requirements in Property Specification Patterns using LLMs
This paper introduces ReqH, an innovative tool designed to streamline the translation of natural language requirements into Property Specification Patterns. The tool leverages the capabilities of Large Language Models, which are renowned for their ability to comprehend and generate human-like text. ReqH aims to address the challenges of translating informal requirements into formal specifications, a process that is crucial in industrial contexts, particularly within safety and security-critical domains which demand rigorous formalisation to ensure the reliability and security of systems. We present some preliminary results from evaluating our methodology on a dataset of semi-automatically generated automotive requirements. The findings indicate that Large Language Models, when applied to this translation process, show significant potential for improving the accuracy and efficiency of requirement specification
Reconfigurable Adaptive Multiple Transform Hardware Solutions for Versatile Video Coding
Computer aided design is nowadays a must to quickly provide optimized circuits, to cope with stringent time to market constraints, and to be able to guarantee colliding constrained requirements. Design automation is exploited, whenever possible, to speed up the design process and relieve the developers from error prone customization, optimization and tuning phases. In this work we study the possibility of adopting automated algorithms for the optimization of reconfigurable multiple constant multiplication circuits. In particular, an exploration of novel reconfigurable Adaptive Multiple Transform circuital solutions adoptable in video coding applications has been conducted. These solutions have also been compared with the unique similar work at the state of the art, revealing to be beneficial under certain constraints. Moreover, the proposed approach has been generalized with some guidelines helpful to designers facing similar problems
The Multi-Dataflow Composer tool: An open-source tool suite for optimized coarse-grain reconfigurable hardware accelerators and platform design
Modern embedded and cyber-physical systems require every day more performance, power efficiency and flexibility, to execute several profiles and functionalities targeting the ever growing adaptivity needs and preserving execution efficiency. Such requirements pushed designers towards the adoption of heterogeneous and reconfigurable substrates, which development and management is not that straightforward. Despite acceleration and flexibility are desirable in many domains, the barrier of hardware deployment and operation is still there since specific advanced expertise and skills are needed. Related challenges are effectively tackled by leveraging on automation strategies that in some cases, as in the proposed work, exploit model-based approaches. This paper is focused on the Multi-Dataflow Composer (MDC) tool, that intends to solve issues related to design, optimization and operation of coarse-grain reconfigurable hardware accelerators and their easy adoption in modern heterogeneous substrates. MDC latest features and improvements are introduced in detail and have been assessed on the so far unexplored robotics application field. A multi-profile trajectory generator for a robotic arm is implemented over a Xilinx FPGA board to show in which cases coarse-grain reconfiguration can be applied and which can be the parameters and trade-offs MDC will allow users to play with
Layering the monitoring action for improved flexibility and overhead control: Work-in-progress
With the diffusion of complex heterogeneous platforms and their need of characterization, monitoring the system gained increasing interest. This work proposes a framework to build custom and modular monitoring systems, flexible enough to face the heterogeneity of modern platforms, offering a predictable HW/SW impact
Power Modelling for Saving Strategies in Coarse Grained Reconfigurable Systems
In the context of coarse-grained reconfigurable systems
we present a power estimation model to guide the designer
in deciding which part of the design may benefit from the
application of a power gating technique. The model is assessed
by adopting a reconfigurable core for image processing targeting
an ASIC 90 nm technolog
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
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