{"id":55147,"date":"2020-01-13T00:00:00","date_gmt":"2020-01-12T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/pervyj-vypusk-wasm3-bystrogo-interpretatora-webassembly"},"modified":"2020-02-18T14:03:13","modified_gmt":"2020-02-18T11:03:13","slug":"pervyj-vypusk-wasm3-bystrogo-interpretatora-webassembly","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hr\/blog\/news\/pervyj-vypusk-wasm3-bystrogo-interpretatora-webassembly","title":{"rendered":"Prvo izdanje wasm3, brzog interpreter-a WebAssembly","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Dostupno<\/a><\/noindex> prvo izdanje wasm3<\/a><\/noindex>, vrlo brzi interpreter srednjeg koda WebAssembly, prvenstveno osmi\u0161ljen za pokretanje WebAssembly aplikacija na mikrokontrolerima i platformama koje nemaju JIT implementaciju za WebAssembly, nemaju dovoljno memorije za rad JIT-a ili ne dopu\u0161taju izradu izvr\u0161nih stranica memorije potrebnih za JIT implementaciju. Kod projekta je napisan u C jeziku i distribuira se<\/a><\/noindex> pod MIT licencom.<\/p>\n

Wasm3 prolazi testove<\/a><\/noindex> na uskla\u0111enost sa specifikacijom WebAssembly 1.0 i mo\u017ee se koristiti za pokretanje mnogih WASI aplikacija, pru\u017eaju\u0107i performanse koje su samo 4-5 puta ni\u017ee od JIT motora (liftoff<\/a><\/noindex>, cranelift<\/a><\/noindex>) i 11.5 puta ni\u017ee od izvr\u0161avanja nativnog koda. U pore\u0111enju sa drugim interpreterima WebAssembly (wac<\/a><\/noindex>, life<\/a><\/noindex>, wasm-micro-runtime<\/a><\/noindex>), wasm3 se pokazao br\u017eim 15.8 puta.<\/p>\n

Za rad wasm3 potrebno je 64Kb memorije za kod i 10Kb RAM-a, \u0161to omogu\u0107ava primenu projekta za izvo\u0111enje WebAssembly aplikacija na mikrokontrolerima<\/a><\/noindex>, kao \u0161to su Arduino MKR*, Arduino Due, Particle Photon, ESP8266, ESP32, Air602 (W600), nRF52, nRF51 Blue Pill (STM32F103C8T6), MXChip AZ3166 (EMW3166),
\nMaix (K210), HiFive1 (E310), Fomu (ICE40UP5K) i ATmega1284, kao i na plo\u010dama i ra\u010dunarima sa arhitekturama x86, x64, ARM, MIPS, RISC-V i Xtensa. Kao operativni sistemi podr\u017eani su Linux (uklju\u010duju\u0107i rutere zasnovane na OpenWRT), Windows, macOS, Android i iOS. Tako\u0111e je mogu\u0107a kompilacija wasm3 u srednji kod WebAssembly za izvo\u0111enje interpreter u pregleda\u010du ili za ugra\u0111eno pokretanje (self-hosting).<\/p>\n

Visoke performanse se posti\u017eu primenom tehnike Massey Meta Machine<\/a><\/noindex> (M3), koja smanjuje tro\u0161kove dekodiranja bajtkoda unapred prevode\u0107i bajtkod u efikasnije operacije koje generi\u0161u pseudo-ma\u0161inski kod, dok se model izvr\u0161avanja stakaste virtuelne ma\u0161ine transformi\u0161e u efikasniji registri\u010dki pristup. Operacije u M3 predstavljaju C funkcije, \u010diji su argumenti registri virtuelne ma\u0161ine koji se mogu mapirati na registre CPU-a. \u010cesto kori\u0161\u0107ene sekvence operacija za optimizaciju se transformi\u0161u u sa\u017eete operacije.<\/p>\n

Dodatno se mo\u017ee istaknuti rezultati istra\u017eivanja<\/a><\/noindex> rasprostranjenja
\nWebAssembly na Webu. Analiziraju\u0107i 948 tisu\u0107a najpopularnijih web stranica prema Alexa rangiranju, istra\u017eiva\u010di su otkrili da se WebAssembly koristi na 1639 stranica (0,17%), tj. na svakoj 600. stranici. Ukupno je na stranicama otkriveno 1950 WebAssembly modula, od kojih je 150 jedinstvenih. Kada se razmatrala primjena WebAssembly, doneseni su porazni zaklju\u010dci \u2014 u vi\u0161e od 50% slu\u010dajeva WebAssembly je kori\u0161ten u zlonamjerne svrhe, poput rudarenja kriptovaluta (55,7%) i skrivanja koda zlonamjernih skripti (0,2%). Od legitimnih primjena, WebAssembly se isti\u010de u izvr\u0161avanju biblioteka (38,8%), izradi igara (3,5%) i izvr\u0161avanju vlastitog koda napisanog ne u JavaScriptu (0,9%). U 14,9% slu\u010dajeva WebAssembly se koristio za analizu okru\u017eenja radi identifikacije korisnika (fingerprinting).
\n

\"Prvo<\/center><\/p>\n

<\/a><\/noindex><\/p>\n

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

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