{"id":123923,"date":"2025-05-03T03:05:06","date_gmt":"2025-05-03T01:05:07","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/intel-otkryl-iaprof-instrumentarij-dlya-profilirovaniya-proizvoditelnosti-gpu"},"modified":"2025-05-03T03:05:06","modified_gmt":"2025-05-03T01:05:07","slug":"intel-otkryl-iaprof-instrumentarij-dlya-profilirovaniya-proizvoditelnosti-gpu","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/news\/intel-otkryl-iaprof-instrumentarij-dlya-profilirovaniya-proizvoditelnosti-gpu","title":{"rendered":"Intel ha aperto iaprof, uno strumento per il profiling delle prestazioni della GPU","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Brendan Gregg, uno dei sviluppatori del sistema di debug dinamico DTrace, attualmente in Intel e dedicato allo sviluppo di strumenti per l'analisi delle prestazioni basati su eBPF nel kernel Linux, ha annunciato l'apertura del codice sorgente dello strumento iaprof (AI Flame Graphs). Questo strumento \u00e8 progettato per analizzare le informazioni sulle prestazioni delle GPU Intel e la loro visualizzazione chiara. Il codice \u00e8 scritto in linguaggio C ed \u00e8 aperto sotto licenza Apache 2.0. <\/p>\n

Le piattaforme hardware supportano le schede grafiche Intel Arc basate sull'architettura microarchitetturale Battlemage (serie \u00abB\u00bb), GPU per data center della serie \u00abMax\u00bb e varie schede grafiche Intel Xe2, tra cui quelle basate su iGPU Lunar Lake. \u00c8 richiesto un kernel Linux con driver aggiornati per GPU Intel (per Intel Battlemage \u00e8 necessario il kernel 6.15 e il driver Xe, mentre per la serie Intel Max \u00e8 sufficiente il kernel 5.15 e il driver i915). Il kernel Linux deve essere compilato con interfacce specifiche per i driver Intel EU Stall e EU Debug. <\/p>\n

Nei profili raccolti vengono riflesse le latenze nel funzionamento delle unit\u00e0 di esecuzione (Execution Unit), lo stato della CPU e informazioni sui nuclei della GPU. I dati raccolti consentono di collegare le metriche di prestazione delle GPU con il codice in esecuzione sulla CPU. Nella pratica, lo strumento \u00e8 utile per l'analisi delle prestazioni di videogiochi e applicazioni AI che utilizzano attivamente le GPU, confrontando il carico sulla GPU con l'esecuzione sulla CPU dei componenti del kernel OS, delle librerie runtime e dei framework AI. <\/p>\n

I risultati del profiling possono essere salvati in formato SVG per un'analisi interattiva nel browser (esempio), utilizzando grafici a colori \u00abFlameGraph\u00bb e mappe \u00abFlameScope\u00bb con evidenziazione colorata dei punti problematici. I grafici sono interattivi e permettono di ingrandire i dettagli fino ai frame dello stack e alle istruzioni eseguite dalla GPU, oltre a visualizzare dettagli e effettuare ricerche.

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

\u0411\u0440\u0435\u043d\u0434\u0430\u043d \u0413\u0440\u0435\u0433 (Brendan Gregg), \u043e\u0434\u0438\u043d \u0438\u0437 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0434\u0438\u043d\u0430\u043c\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043e\u0442\u043b\u0430\u0434\u043a\u0438 DTrace, \u043d\u044b\u043d\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0449\u0438\u0439 \u0432 Intel \u0438 \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0438\u0439 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u043d\u0430 \u0431\u0430\u0437\u0435 eBPF \u0432 \u044f\u0434\u0440\u0435 Linux, \u043e\u0431\u044a\u044f\u0432\u0438\u043b \u043e\u0431 \u043e\u0442\u043a\u0440\u044b\u0442\u0438\u0438 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0433\u043e \u043a\u043e\u0434\u0430 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f iaprof (AI Flame Graphs). \u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u043e \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 GPU Intel \u0438 \u0435\u0451 \u043d\u0430\u0433\u043b\u044f\u0434\u043d\u043e\u0439 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 \u0421\u0438 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":123924,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-123923","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Intel ha aperto iaprof, uno strumento per il profiling delle prestazioni delle GPU | ProHoster","description":"Brendan Gregg, uno dei sviluppatori del sistema di debug dinamico DTrace, attualmente in Intel e dedicato allo sviluppo di strumenti per l'analisi delle prestazioni basati su eBPF nel kernel Linux, ha annunciato 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