{"id":163981,"date":"2026-03-12T11:12:00","date_gmt":"2026-03-12T09:12:01","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/v-yadrah-dlya-platformy-android-vklyuchena-optimizacziya-autofdo"},"modified":"2026-03-12T11:12:00","modified_gmt":"2026-03-12T09:12:01","slug":"v-yadrah-dlya-platformy-android-vklyuchena-optimizacziya-autofdo","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/news\/v-yadrah-dlya-platformy-android-vklyuchena-optimizacziya-autofdo","title":{"rendered":"Nuclei per la piattaforma Android includono l'ottimizzazione AutoFDO","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Google ha annunciato i risultati dell'integrazione dell'ottimizzazione AutoFDO (Auto-Feedback-Directed Optimization) nella compilazione del kernel Linux per la piattaforma Android. AutoFDO utilizza i dati di profilazione con informazioni sulla frequenza di esecuzione delle varie sezioni di codice per migliorare le prestazioni delle operazioni spesso eseguite. L'ottimizzazione AutoFDO \u00e8 stata implementata nella compilazione del kernel Linux 6.12 per Android 16 e 6.6 per Android 15, e sar\u00e0 inclusa anche nella compilazione del kernel 6.18 per Android 17. I profili delle prestazioni per AutoFDO sono stati creati sulla base dell'esecuzione di 100 applicazioni popolari dal set C-Suite (Android App Compatibility Test Suite) e della simulazione dell'interazione dell'utente con queste applicazioni. <\/p>\n

In precedenza, l'ottimizzazione AutoFDO era gi\u00e0 stata applicata in Android per la compilazione di librerie di sistema e file eseguibili nello spazio utente, consentendo in media di accelerare l'avvio delle applicazioni del 4% e ridurre i tempi di avvio dell'1%. Tuttavia, fino a tempi recenti, l'ottimizzazione AutoFDO non era stata applicata al kernel Linux, per il quale, secondo le statistiche di Google, si spende il 40% del tempo di CPU in Android. <\/p>\n

Nei test condotti, l'abilitazione di AutoFDO per il kernel ha portato a una riduzione del tempo di avvio del 2.1%, a un'accelerazione del primo avvio delle applicazioni del 4.3%, a un miglioramento dell'efficienza delle chiamate di sistema del 9.3%, a una riduzione del tempo di esecuzione delle transazioni mmap di Binder del 12.3%, di HwBinder del 20% e di Binder RPC del 21.7%.

\"Nuclei<\/center>
\n
Fonte: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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