{"id":113608,"date":"2024-02-15T10:02:42","date_gmt":"2024-02-15T08:02:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-optimizatora-energopotrebleniya-i-proizvoditelnosti-auto-cpufreq-2-2-0"},"modified":"2024-02-15T10:02:42","modified_gmt":"2024-02-15T08:02:42","slug":"vypusk-optimizatora-energopotrebleniya-i-proizvoditelnosti-auto-cpufreq-2-2-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/es\/blog\/news\/vypusk-optimizatora-energopotrebleniya-i-proizvoditelnosti-auto-cpufreq-2-2-0","title":{"rendered":"Lanzamiento del optimizador de consumo energ\u00e9tico y rendimiento auto-cpufreq 2.2.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Se ha publicado el lanzamiento de la herramienta auto-cpufreq 2.2.0, dise\u00f1ada para optimizar autom\u00e1ticamente la velocidad de funcionamiento de la CPU y el consumo de energ\u00eda en el sistema. La herramienta supervisa el estado de la bater\u00eda de la computadora port\u00e1til, la carga de la CPU, las temperaturas de la CPU y la actividad en el sistema, y seg\u00fan la situaci\u00f3n y las opciones seleccionadas, activa din\u00e1micamente los modos de ahorro de energ\u00eda o alto rendimiento. Es compatible con dispositivos que utilizan procesadores Intel, AMD y ARM. Se puede gestionar mediante una interfaz gr\u00e1fica basada en GTK o mediante una herramienta de consola. El c\u00f3digo est\u00e1 escrito en Python y se distribuye bajo la licencia LGPLv3.    <\/p>\n<p>Entre las funcionalidades soportadas se incluyen: monitoreo de la frecuencia, carga y temperatura de la CPU, ajuste de la frecuencia y modos de consumo de energ\u00eda de la CPU seg\u00fan la carga de la bater\u00eda, la temperatura y la carga del sistema, optimizaci\u00f3n autom\u00e1tica del rendimiento de la CPU y del consumo de energ\u00eda.       <\/p>\n<p>Auto-cpufreq se puede utilizar para extender autom\u00e1ticamente el tiempo de funcionamiento aut\u00f3nomo de los port\u00e1tiles sin reducir constantemente algunas capacidades. A diferencia de la herramienta TLP, auto-cpufreq no solo permite establecer modos de consumo de energ\u00eda econ\u00f3micos durante el funcionamiento aut\u00f3nomo del dispositivo, sino que tambi\u00e9n activa temporalmente el modo de alto rendimiento (turbo boost) al detectar un aumento de la carga en el sistema.     <\/p>\n<p>En la nueva versi\u00f3n se ha a\u00f1adido soporte para configurar y redefinir los par\u00e1metros EPP (Energy Performance Preference), as\u00ed como establecer restricciones relacionadas con la carga de la bater\u00eda (por ejemplo, para prolongar la vida de la bater\u00eda, se puede configurar la desconexi\u00f3n de la carga despu\u00e9s de alcanzar el 90%). Se ha a\u00f1adido la capacidad de crear paquetes en formato snap para arquitecturas AMD64 y ARM64.    <center><img decoding=\"async\" alt=\"Lanzamiento del optimizador de consumo energ\u00e9tico y rendimiento auto-cpufreq 2.2.0\" src=\"\/wp-content\/uploads\/2024\/02\/32fa65411b37a9cd0f60424835687689.png\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Fuente: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=60605\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 \u0443\u0442\u0438\u043b\u0438\u0442\u044b auto-cpufreq 2.2.0, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438 \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u0438 \u0440\u0430\u0431\u043e\u0442\u044b CPU \u0438 \u044d\u043d\u0435\u0440\u0433\u043e\u043f\u043e\u0442\u0440\u0435\u0431\u043b\u0435\u043d\u0438\u044f \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435. \u0423\u0442\u0438\u043b\u0438\u0442\u0430 \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u0435\u0442 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0430\u043a\u043a\u0443\u043c\u0443\u043b\u044f\u0442\u043e\u0440\u0430 \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0430, \u043d\u0430\u0433\u0440\u0443\u0437\u043a\u0438 \u043d\u0430 CPU, \u0442\u0435\u043c\u043f\u0435\u0440\u0430\u0442\u0443\u0440\u044b CPU \u0438 \u0430\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u0435, \u0438 \u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e\u0441\u0442\u0438 \u043e\u0442 \u0441\u0438\u0442\u0443\u0430\u0446\u0438\u0438 \u0438 \u0432\u044b\u0431\u0440\u0430\u043d\u043d\u044b\u0445 \u043e\u043f\u0446\u0438\u0439 \u0434\u0438\u043d\u0430\u043c\u0438\u0447\u0435\u0441\u043a\u0438 \u0430\u043a\u0442\u0438\u0432\u0438\u0440\u0443\u0435\u0442 \u0440\u0435\u0436\u0438\u043c\u044b \u044d\u043d\u0435\u0440\u0433\u043e\u0441\u0431\u0435\u0440\u0435\u0436\u0435\u043d\u0438\u044f \u0438\u043b\u0438 \u0432\u044b\u0441\u043e\u043a\u043e\u0439 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438. \u041f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0440\u0430\u0431\u043e\u0442\u0430 \u043d\u0430 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0430\u0445 \u0441 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u043e\u0440\u0430\u043c\u0438 Intel, AMD \u0438 ARM. [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":113609,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-113608","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u0440\u0435\u043b\u0438\u0437 \u0443\u0442\u0438\u043b\u0438\u0442\u044b auto-cpufreq 2.2.0, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0438 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