Interface en ligne de commande

Résumé

vignette|300px|Capture d'écran d'un shell Bash sous Gentoo. Une interface en ligne de commande ou ILC (en anglais command line interface, couramment abrégé CLI) est une interface homme-machine dans laquelle la communication entre l'utilisateur et l'ordinateur s'effectue en mode texte :

l'utilisateur tape une ligne de commande, c'est-à-dire du texte au clavier pour demander à l'ordinateur d'effectuer une opération ;
l'ordinateur affiche du texte correspondant au résultat de l'exécution des commandes tapées ou à des questions qu'un logiciel pose à l'utilisateur.

Une interface en ligne de commandes peut servir aussi bien pour lancer l'exécution de divers logiciels au moyen d'un interpréteur de commandes, que pour les dialogues avec l'utilisateur de ces logiciels. C'est l'interaction fondamentale entre un homme et un ordinateur (ou tout autre équipement informatique). Lorsqu'une interface est prête à recevoir une commande, elle l'indique par une invite de commande. Celle-ci, parfo

Source officielle

https://fr.wikipedia.org/wiki/Interface_en_ligne_de_commande

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Exploiting Compute Caches for Memory Bound Vector Operations

Gabriel Falcao Paiva Fernandes, Paolo Ienne, João Miguel Morgado Pereira Vieira

To reduce the average memory access time, most current processors make use of a multilevel cache subsystem. However, despite the proven benefits of such cache structures in the resulting throughput, conventional operations such as copy, simple maps and reductions still require moving large amounts of data to the processing cores. This imposes significant energy and performance overheads, with most of the execution time being spent moving data across the memory hierarchy. To mitigate this problem, a Cache Compute System (CCS) that targets memory-bound kernels such as map and reduce operations is proposed. The developed CCS takes advantage of long cache lines and data locality to avoid data transfers to the processor and exploits the intrinsic parallelism of vector compute units to accelerate a set of 48 operations commonly used in map and reduce patterns. The CCS was validated by integrating it with an MB-Lite soft-core in a Xilinx Virtex-7 VC709 Development Board. When compared to the MB-Lite core, the proposed CCS presents performance improvements in the execution of the commands ranging from 4x to 408x, and energy efficiency gains from 6x to 328x.

IEEE2018

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SporTran: A code to estimate transport coefficients from the cepstral analysis of (multivariate) current time series

Loris Ercole

SporTran is a Python utility designed to estimate generic transport coefficients in extended systems, based on the Green-Kubo theory of linear response and the recently introduced cepstral analysis of the current time series generated by molecular dynamics simulations. SporTran can be applied to univariate as well as multivariate time series. Cepstral analysis requires minimum discretion from the user, in that it weakly depends on two parameters, one of which is automatically estimated by a statistical model-selection criterion that univocally determines the resulting accuracy. In order to facilitate the optimal refinement of these parameters, SporTran features an easy-to-use graphical user interface. A command-line interface and a Python API, easy to embed in complex data-analysis workflows, are also provided. (C) 2022 Elsevier B.V. All rights reserved.

ELSEVIER2022

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Co-evolution of morphology and control is a powerful approach in robotics to study performance on a particular task, considering mechanical structure and control as a whole to accomplish a certain goal. Co-evolutionary methods have been used to study the effect of these two fundamental components, in particular when applied to locomotion and reaching tasks. The resulting robots are usually evolved in simulation for a particular static task, making it difficult to transfer the results to a real robotic system, where a certain controllability (beyond the scope of the particular task) is desired. In this work, we are interested in evolving a robot with an externally controllable behavior, in particular considering locomotion tasks. We investigate to what extent co-evolution can outperform the more traditional approach of evolving only the robot control. The locomotion behavior is evolved for a simulated quadruped robot, using a multi-objective evolutionary algorithm, considering speed and energy efficiency as the main objectives. Additionally, we introduce a third objective where we provide the robot with an external command indicating the robot locomotion direction, allowing us to steer the robot once it is evolved. The resulting quadrupedal robots show improved performance on the steering task when compared to robots where only control is evolved.

2011

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