{"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\/sl\/blog\/news\/pervyj-vypusk-wasm3-bystrogo-interpretatora-webassembly","title":{"rendered":"Prva izdaja wasm3, hitrega interpreterja WebAssembly","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Na voljo<\/a><\/noindex> prvi izvod wasm3<\/a><\/noindex>, zelo hitrega interpreterja posredne kode WebAssembly, predvsem zasnovanega za zagon aplikacij WebAssembly na mikrokrmilnikih in platformah, za katere ni implementacije JIT za WebAssembly, nimajo dovolj pomnilnika za delovanje JIT ali ne omogo\u010dajo ustvarjanja izvr\u0161ljivih strani pomnilnika, potrebnih za izvedbo JIT. Koda projekta je napisana v jeziku C in se distribuira<\/a><\/noindex> pod licenco MIT.<\/p>\n

Wasm3 poleg tega testi<\/a><\/noindex> preverja zdru\u017eljivost s specifikacijo WebAssembly 1.0 in se lahko uporablja za zagon \u0161tevilnih aplikacij WASI, pri \u010demer zagotavlja zmogljivost, ki je le 4-5 krat ni\u017eja od JIT motorjev (liftoff<\/a><\/noindex>, cranelift<\/a><\/noindex>) in 11,5 krat ni\u017eja od izvajanja nativne kode. Pri primerjavi z drugimi interpreterji WebAssembly (wac<\/a><\/noindex>, life<\/a><\/noindex>, wasm-micro-runtime<\/a><\/noindex>), je wasm3 bil hitrej\u0161i 15,8 krat.<\/p>\n

Za delovanje wasm3 potrebujete 64 Kb pomnilnika za kodo in 10 Kb RAM-a, kar omogo\u010da uporabo projekta za izvajanje programov, prevedenih v WebAssembly, na mikrokrmilnikih<\/a><\/noindex>, kot so Arduino MKR*, Arduino Due, Particle Photon, ESP8266, ESP32, Air602 (W600), nRF52, nRF51 Blue Pill (STM32F103C8T6), MXChip AZ3166 (EMW3166),
\nMaix (K210), HiFive1 (E310), Fomu (ICE40UP5K) in ATmega1284, pa tudi na plo\u0161\u010dah in ra\u010dunalnikih, ki temeljijo na arhitekturah x86, x64, ARM, MIPS, RISC-V in Xtensa. Med operacijskimi sistemi so podprti Linux (vklju\u010dno z usmerjevalniki na osnovi OpenWRT), Windows, macOS, Android in iOS. Prav tako je mo\u017ena kompilacija wasm3 v posredno kodo WebAssembly za izvajanje interpreterja v brskalniku ali za samostojno zagon (self-hosting).<\/p>\n

Visoka zmogljivost je dose\u017eena z uporabo tehnik Massey Meta Machine<\/a><\/noindex> (M3), kjer se za zmanj\u0161anje stro\u0161kov dekodiranja bajtkode izvaja predhodno prevajanje bajtkode v u\u010dinkovitej\u0161e operacije, ki proizvajajo pseudo-strojno kodo, model izvajanja strojne virtualne naprave pa se pretvori v u\u010dinkovit pristop, ki temelji na registrih. Operacije v M3 predstavljajo funkcije C, katerih argumenti so registri virtualne naprave, ki jih je mogo\u010de preslikati na registre CPU. Pogosto uporabljeni zaporedji operacij se optimizirata v zdru\u017eene operacije.<\/p>\n

Dodatno lahko omenimo rezultati raziskave<\/a><\/noindex> raz\u0161irjanja
\nWebAssembly v spletu. Po analizi 948 tiso\u010d najbolj priljubljenih strani po razvrstitvi Alexa so raziskovalci ugotovili, da se WebAssembly uporablja na 1639 straneh (0,17 %), t.j. na eni od vsakih 600 strani. Skupaj je na straneh zaznanih 1950 modulov WebAssembly, od katerih je 150 edinstvenih. Pri pregledu podro\u010dja uporabe WebAssembly so bili pridobljeni zaskrbljujo\u010di zaklju\u010dki \u2014 v ve\u010d kot 50 % primerov je bil WebAssembly uporabljen z zlonamernimi nameni, na primer za rudarjenje kriptovalut (55,7 %) in prikrivanje kode zlonamernih skript (0,2 %). Med legitimnimi aplikacijami WebAssembly izstopata izvajanje knji\u017enic (38,8 %), ustvarjanje iger (3,5 %) in izvajanje lastne kode, napisane ne v JavaScriptu (0,9 %). V 14,9 % primerov je bil WebAssembly uporabljen za analizo okolja za identifikacijo uporabnika (fingerprinting).
\n

\"Prva<\/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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