scholarly journals Self-Healing Many-Core Architecture: Analysis and Evaluation

VLSI Design ◽  
2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Arezoo Kamran ◽  
Zainalabedin Navabi
Keyword(s):  
Normal Operation ◽  
External Control ◽  
Self Healing ◽  
Aging Effects ◽  
Analysis And Evaluation ◽  
Promising Solution ◽  
Self Test ◽  
And Performance ◽  
The Many ◽  
Many Core

More pronounced aging effects, more frequent early-life failures, and incomplete testing and verification processes due to time-to-market pressure in new fabrication technologies impose reliability challenges on forthcoming systems. A promising solution to these reliability challenges is self-test and self-reconfiguration with no or limited external control. In this work a scalable self-test mechanism for periodic online testing of many-core processor has been proposed. This test mechanism facilitates autonomous detection and omission of faulty cores and makes graceful degradation of the many-core architecture possible. Several test components are incorporated in the many-core architecture that distribute test stimuli, suspend normal operation of individual processing cores, apply test, and detect faulty cores. Test is performed concurrently with the system normal operation without any noticeable downtime at the application level. Experimental results show that the proposed test architecture is extensively scalable in terms of hardware overhead and performance overhead that makes it applicable to many-cores with more than a thousand processing cores.

scholarly journals Framework for Design Exploration and Performance Analysis of RF-NoC Manycore Architecture

2020 ◽  
Vol 10 (4) ◽  
pp. 37
Author(s):  
Habiba Lahdhiri ◽  
Jordane Lorandel ◽  
Salvatore Monteleone ◽  
Emmanuelle Bourdel ◽  
Maurizio Palesi
Keyword(s):  
High Performance ◽  
Design Space Exploration ◽  
Routing Algorithm ◽  
Long Distance ◽  
Promising Solution ◽  
And Performance ◽  
On Chip ◽  
Many Core ◽  
High Degree ◽  
Real Traffic

The Network-on-chip (NoC) paradigm has been proposed as a promising solution to enable the handling of a high degree of integration in multi-/many-core architectures. Despite their advantages, wired NoC infrastructures are facing several performance issues regarding multi-hop long-distance communications. RF-NoC is an attractive solution offering high performance and multicast/broadcast capabilities. However, managing RF links is a critical aspect that relies on both application-dependent and architectural parameters. This paper proposes a design space exploration framework for OFDMA-based RF-NoC architecture, which takes advantage of both real application benchmarks simulated using Sniper and RF-NoC architecture modeled using Noxim. We adopted the proposed framework to finely configure a routing algorithm, working with real traffic, achieving up to 45% of delay reduction, compared to a wired NoC setup in similar conditions.

scholarly journals RUMD: A general purpose molecular dynamics package optimized to utilize GPU hardware down to a few thousand particles

2017 ◽  
Vol 3 (6) ◽  
Author(s):  
Nicholas Bailey ◽  
Trond Ingebrigtsen ◽  
Jesper Schmidt Hansen ◽  
Arno Veldhorst ◽  
Lasse Bøhling ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
High Performance ◽  
General Purpose ◽  
Graphical Processing Units ◽  
Performance Benchmarks ◽  
Graphical Processing ◽  
And Performance ◽  
Set Up ◽  
The Many ◽  
Many Core

RUMD is a general purpose, high-performance molecular dynamics (MD) simulation package running on graphical processing units (GPU’s). RUMD addresses the challenge of utilizing the many-core nature of modern GPU hardware when simulating small to medium system sizes (roughly from a few thousand up to hundred thousand particles). It has a performance that is comparable to other GPU-MD codes at large system sizes and substantially better at smaller sizes. RUMD is open-source and consists of a library written in C++ and the CUDA extension to C, an easy-to-use Python interface, and a set of tools for set-up and post-simulation data analysis. The paper describes RUMD’s main features, optimizations and performance benchmarks.

ARTISTIC AND AESTHETIC EDUCATION AND MUSICAL PSYCHOTHERAPY OF A SPECIALIST’S TRAINING

2020 ◽  
Vol 384 (2) ◽  
pp. 222-232
Author(s):  
P. V. Menshikov ◽  
G. K. Kassymova ◽  
R. R. Gasanova ◽  
Y. V. Zaichikov ◽  
V. A. Berezovskaya ◽  
...  
Keyword(s):  
Performance Practice ◽  
Piano Music ◽  
Traumatic Experiences ◽  
Special Role ◽  
Native Culture ◽  
History Of ◽  
The Subject ◽  
And Performance ◽  
The Many ◽  
Special Meaning

A special role in the development of a pianist as a musician, composer and performer, as shown by the examples of the well-known, included in the history of art, and the most ordinary pianists, their listeners and admirers, lovers of piano music and music in general, are played by moments associated with psychotherapeutic abilities and music features. The purpose of the study is to comprehend the psychotherapeutic aspects of performing activities (using pianists as an example). The research method is a theoretical analysis of the psychotherapeutic aspects of performing activities: the study of the possibilities and functions of musical psychotherapy in the life of a musician as a “(self) psychotherapist” and “patient”. For almost any person, music acts as a way of self-understanding and understanding of the world, a way of self-realization, rethinking and overcoming life's difficulties - internal and external "blockages" of development, a way of saturating life with universal meanings, including a person in the richness of his native culture and universal culture as a whole. Art and, above all, its metaphorical nature help to bring out and realize internal experiences, provide an opportunity to look at one’s own experiences, problems and injuries from another perspective, to see a different meaning in them. In essence, we are talking about art therapy, including the art of writing and performing music - musical psychotherapy. However, for a musician, music has a special meaning, special significance. Musician - produces music, and, therefore, is not only an “object”, but also the subject of musical psychotherapy. The musician’s training includes preparing him as an individual and as a professional to perform functions that can be called psychotherapeutic: in the works of the most famous performers, as well as in the work of ordinary teachers, psychotherapeutic moments sometimes become key. Piano music and performance practice sets a certain “viewing angle” of life, and, in the case of traumatic experiences, a new way of understanding a difficult, traumatic and continuing to excite a person event, changing his attitude towards him. It helps to see something that was hidden in the hustle and bustle of everyday life or in the patterns of relationships familiar to a given culture. At the same time, while playing music or learning to play music, a person teaches to see the hidden and understand the many secrets of the human soul, the relationships of people.

Programmable Integrated Photonics

2020 ◽  
Author(s):  
José Capmany ◽  
Daniel Pérez
Keyword(s):  
Integrated Circuit ◽  
Performance Monitoring ◽  
Low Cost ◽  
Limiting Factors ◽  
External Control ◽  
Integrated Photonics ◽  
New Paradigm ◽  
Photonic Integrated Circuit ◽  
And Performance ◽  
Application Fields

Programmable Integrated Photonics (PIP) is a new paradigm that aims at designing common integrated optical hardware configurations, which by suitable programming can implement a variety of functionalities that, in turn, can be exploited as basic operations in many application fields. Programmability enables by means of external control signals both chip reconfiguration for multifunction operation as well as chip stabilization against non-ideal operation due to fluctuations in environmental conditions and fabrication errors. Programming also allows activating parts of the chip, which are not essential for the implementation of a given functionality but can be of help in reducing noise levels through the diversion of undesired reflections. After some years where the Application Specific Photonic Integrated Circuit (ASPIC) paradigm has completely dominated the field of integrated optics, there is an increasing interest in PIP justified by the surge of a number of emerging applications that are and will be calling for true flexibility, reconfigurability as well as low-cost, compact and low-power consuming devices. This book aims to provide a comprehensive introduction to this emergent field covering aspects that range from the basic aspects of technologies and building photonic component blocks to the design alternatives and principles of complex programmable photonics circuits, their limiting factors, techniques for characterization and performance monitoring/control and their salient applications both in the classical as well as in the quantum information fields. The book concentrates and focuses mainly on the distinctive features of programmable photonics as compared to more traditional ASPIC approaches.

Effect of chain extender on microphase structure and performance of self‐healing polyurethane and poly(urethane‐urea)

2021 ◽  
pp. 51371
Author(s):  
Yulong Wang ◽  
Yaqiong Li ◽  
Maoyong He ◽  
Jingjing Bai ◽  
Bingxiao Liu ◽  
...  
Keyword(s):  
Chain Extender ◽  
Self Healing ◽  
And Performance

scholarly journals Identification of abnormal tribological regimes using a microphone and semi-supervised machine-learning algorithm

Friction ◽  
2021 ◽  
Author(s):  
Vigneashwara Pandiyan ◽  
Josef Prost ◽  
Georg Vorlaufer ◽  
Markus Varga ◽  
Kilian Wasmer
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Industrial Applications ◽  
Supervised Machine Learning ◽  
Normal Operation ◽  
Promising Alternative ◽  
Wear And Tear ◽  
Validation Procedure ◽  
And Performance

AbstractFunctional surfaces in relative contact and motion are prone to wear and tear, resulting in loss of efficiency and performance of the workpieces/machines. Wear occurs in the form of adhesion, abrasion, scuffing, galling, and scoring between contacts. However, the rate of the wear phenomenon depends primarily on the physical properties and the surrounding environment. Monitoring the integrity of surfaces by offline inspections leads to significant wasted machine time. A potential alternate option to offline inspection currently practiced in industries is the analysis of sensors signatures capable of capturing the wear state and correlating it with the wear phenomenon, followed by in situ classification using a state-of-the-art machine learning (ML) algorithm. Though this technique is better than offline inspection, it possesses inherent disadvantages for training the ML models. Ideally, supervised training of ML models requires the datasets considered for the classification to be of equal weightage to avoid biasing. The collection of such a dataset is very cumbersome and expensive in practice, as in real industrial applications, the malfunction period is minimal compared to normal operation. Furthermore, classification models would not classify new wear phenomena from the normal regime if they are unfamiliar. As a promising alternative, in this work, we propose a methodology able to differentiate the abnormal regimes, i.e., wear phenomenon regimes, from the normal regime. This is carried out by familiarizing the ML algorithms only with the distribution of the acoustic emission (AE) signals captured using a microphone related to the normal regime. As a result, the ML algorithms would be able to detect whether some overlaps exist with the learnt distributions when a new, unseen signal arrives. To achieve this goal, a generative convolutional neural network (CNN) architecture based on variational auto encoder (VAE) is built and trained. During the validation procedure of the proposed CNN architectures, we were capable of identifying acoustics signals corresponding to the normal and abnormal wear regime with an accuracy of 97% and 80%. Hence, our approach shows very promising results for in situ and real-time condition monitoring or even wear prediction in tribological applications.

Methodology for analyzing PR activities of public authorities

2021 ◽  
Vol 23 (3) ◽  
pp. 33-38
Author(s):  
VALERYA DAMBUEVA ◽  
Keyword(s):  
Performance Indicators ◽  
Mass Communication ◽  
Public Authorities ◽  
Analysis And Evaluation ◽  
Complex Image ◽  
The Russian Federation ◽  
And Performance ◽  
Commercial Organizations ◽  
Analytical Tools ◽  
Evaluation Parameters

The article analyses various approaches to assessing the PR activities of commercial organizations and public authorities. The author concludes that there is no comprehensive methodology for analyzing and evaluating the effectiveness of PR activities. This indicates the relevance and the need to develop a special methodology to identify relevant and potential sources for the formation and development of a complex image and reputation characteristics of public authorities with which citizens of the Russian Federation could operate. The basis of the proposed theory is the materials of works on communication by G. Lasswell (model of mass communication, pentad). The method is a system of evaluation parameters, performance indicators, and analytical tools for each structural component of such activities, as well as an algorithm for their analysis and evaluation. When developing this methodology, we try to take into account the maximum number of criteria and performance indicators, but in practice, it is not always possible. To increase the effectiveness of the methodology, the author conducts the structuring of the pentad, which allows to distinguish the main processes of PR activity of a public authority. The assessment of each component of the pentad is a separate study in which we can identify the relevant PR activity processes that require adjustment.

A Comprehensive Review on Reconfigurable Drones: Classification, Characteristics, Design and Control Technologies

2021 ◽  
pp. 1-27
Author(s):  
Saddam Hocine Derrouaoui ◽  
Yasser Bouzid ◽  
Mohamed Guiatni ◽  
Islam Dib
Keyword(s):  
Fault Tolerant ◽  
Control Strategies ◽  
Cluttered Environments ◽  
Viable Solution ◽  
Promising Solution ◽  
Design Characteristics ◽  
And Performance ◽  
Control Technologies ◽  
And Control ◽  
Near Future

Recently, reconfigurable drones have gained particular attention in the field of automation and flying robots. Unlike the conventional drones, they are characterized by a variable mechanical structure in flight, geometric adaptability, aerial reconfiguration, high number of actuators and control inputs, and variable mathematical model. In addition, they are exploited to flight in more cluttered environments, avoid collisions with obstacles, transport and grab objects, cross narrow and small spaces, decrease different aerial damages, optimize the consumed energy, and improve agility and maneuverability in flight. Moreover, these new drones are considered as a viable solution to provide them with specific and additional functionalities. They are a promising solution in the near future, since they allow increasing considerably the capabilities and performance of classical drones in terms of multi-functionalities, geometric adaptation, design characteristics, consumed energy, control, maneuverability, agility, efficiency, obstacles avoidance, and fault tolerant control. This paper explores very interesting and recent research works, which include the classification, the main characteristics, the various applications, and the existing designs of this particular class of drones. Besides, an in-depth review of the applied control strategies will be presented. The links of the videos displaying the results of these researches will be also shown. A comparative study between the different types of flying vehicles will be established. Finally, several new challenges and future directions for reconfigurable drones will be discussed.

scholarly journals L’hypermédia Au Service De La Formation Initiale D’enseignants-Stagiaires (Cas Du CRMEF-FESMEKNES)

2017 ◽  
Vol 13 (16) ◽  
pp. 113
Author(s):  
Youssef Nafidi ◽  
Anouar Alami ◽  
Moncef Zaki ◽  
Hanane Afkar ◽  
Mohammed Elazami Elhassani
Keyword(s):  
New Technologies ◽  
Initial Training ◽  
Formation Initiale ◽  
Trainee Teachers ◽  
Digital Resource ◽  
The Earth ◽  
Information And Communication ◽  
Promising Solution ◽  
The Many ◽  
And Training

In light of empirical experience from Morocco, combined with new possibilities afforded by Information and Communication Technology (ICT), there is a wish to integrate new technologies into distance education to help solve a set of problems identified in the initial training at the Regional Centre for the Professions of Education and Training of Fez-Meknes. The results of a study conducted among 15 trainee teachers of the Earth and Life Sciences allow us to conclude that designing a hypermedia tool for learning could constitute a promising solution to address the many challenges linked to the initial training of teachers in Morocco. Finally, the use of this digital resource by trainee teachers’ has also strongly contributed to their eagerness to integrate ICT in their subsequent teaching practices.

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