1,720,981 research outputs found
Exploration of Beyond von Neumann Computing to solve the Memory-Wall issue
Full text linkL'abstract è presente nell'allegato / the abstract is in the attachmen
vlsi-nanocomputing/risc-v-lim-architecture: version-1.0.0
No full textThe aim of the project is to propose a RISC-Vlim microprocessor that supports Logic-in-Memory operations. The RISC-Vlim is based on the RISC-V ISA where the data memory is replaced with a memory capable of doing simple operations on the data stored inside it. The preliminary results demonstrate how the use of such memories can improve the algorithm execution speed, reducing the need for complex solutions and saving energy.
The project uses the available RISC-V IP and the Logic-in-memory concept in order to improve the average execution time of the RISC-V memory operations and then reduce the overall execution time in programs. The goal has been reached by introducing a new memory model, capable to perform logic operations additionally to the simple reads or writes. To exploit this new memory capability the RISC-V ISA has been enlarged
Logic-in-Memory Computation: Is It Worth it? A Binary Neural Network Case Study
Full text linkRecently, the Logic-in-Memory (LiM) concept has been widely studied in the literature. This paradigm represents one of the most efficient ways to solve the limitations of a Von Neumann’s architecture: by placing simple logic circuits inside or near a memory element, it is possible to obtain a local computation without the need to fetch data from the main memory. Although this concept introduces a lot of advantages from a theoretical point of view, its implementation could introduce an increasing complexity overhead of the memory itself, leading to a more sophisticated design flow. As a case study, Binary Neural Networks (BNNs) have been chosen. BNNs binarize both weights and inputs, transforming multiply-and-accumulate into a simpler bitwise logical operation while maintaining high accuracy, making them well-suited for a LiM implementation. In this paper, we present two circuits implementing a BNN model in CMOS technology. The first one, called Out-Of-Memory (OOM) architecture, is implemented following a standard Von Neumann structure. The same architecture was redesigned to adapt the critical part of the algorithm for a modified memory, which is also capable of executing logic calculations. By comparing both OOM and LiM architectures we aim to evaluate if Logic-in-Memory paradigm is worth it. The results highlight that LiM architectures have a clear advantage over Von Neumann architectures, allowing a reduction in energy consumption while increasing the overall speed of the circuit
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
DExIMA: Design Explorer for In-Memory Architectures
Full text linkIn recent years, Computer-Aided Design (CAD) software have become indispensable tools for designing, testing, and synthesizing logic circuits. Commercial software provided by companies like Synopsys, Cadence, or Mentor dominate the Electronic Design Automation (EDA) field. Nevertheless, several Open Source tools are also available, and some of them aim at assisting the designer in emerging Beyond-von-Neumann computing paradigms, such as Logic-in-Memory (LiM). LiM is a promising architectural and technological solution to the von Neumann Bottleneck, i.e. the performance gap between the CPU and the memory in classical CPU-Memory structures. In literature, various approaches to the LiM paradigm have been proposed. This paper introduces the Design Explorer for In-Memory Architectures (DExIMA) tool, which has the ambitious aim of providing a well-defined design flow strategy for the development, validation and performance estimation of a wide range of LiM architectures. Currently, DExIMA focuses on Coarse-grain Logic-in-Memory (CGLiM) architectures, which integrate memory and computation elements at a coarse-grain level. Nevertheless, DExIMA encompasses a flexible architectural model and a modular performance estimation engine that can be adapted to LiM implementations where memory and logic elements are more finely integrated. Hence, DExIMA is a versatile tool offering an environment for testing and comparing different LiM solutions, empowering designers to explore novel approaches in LiM architecture design
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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