{"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\/pl\/blog\/news\/pervyj-vypusk-wasm3-bystrogo-interpretatora-webassembly","title":{"rendered":"Pierwsze wydanie wasm3, szybkiego interpretera WebAssembly","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Dost\u0119pny<\/a><\/noindex> pierwsza wersja wasm3<\/a><\/noindex>, bardzo szybkiego interpretera po\u015bredniego kodu WebAssembly, przeznaczonego g\u0142\u00f3wnie do uruchamiania aplikacji WebAssembly na mikrokontrolerach i platformach, kt\u00f3re nie maj\u0105 implementacji JIT dla WebAssembly, maj\u0105 zbyt ma\u0142o pami\u0119ci do dzia\u0142ania JIT lub nie dopuszczaj\u0105 tworzenia stron pami\u0119ci wykonawczej potrzebnych do realizacji JIT. Kod projektu jest napisany w j\u0119zyku C i rozpowszechniany<\/a><\/noindex> na licencji MIT.<\/p>\n

Wasm3 jest zgodny testy<\/a><\/noindex> z specyfikacj\u0105 WebAssembly 1.0 i mo\u017ce by\u0107 u\u017cywany do uruchamiania wielu aplikacji WASI, zapewniaj\u0105c wydajno\u015b\u0107 tylko 4-5 razy ni\u017csz\u0105 ni\u017c silniki JIT (liftoff<\/a><\/noindex>, cranelift<\/a><\/noindex>) i 11.5 razy ni\u017csz\u0105 w por\u00f3wnaniu do wykonania kodu natywnego. W por\u00f3wnaniu do innych interpreter\u00f3w WebAssembly (wac<\/a><\/noindex>, life<\/a><\/noindex>, wasm-micro-runtime<\/a><\/noindex>), wasm3 okaza\u0142 si\u0119 15.8 razy szybszy.<\/p>\n

Aby dzia\u0142a\u0107, wasm3 wymaga 64KB pami\u0119ci na kod i 10KB RAM-u, co pozwala na wykorzystanie projektu do uruchamiania aplikacji skompilowanych w WebAssembly na mikrokontrolerach<\/a><\/noindex>, takich jak 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, a tak\u017ce na p\u0142ytach i komputerach opartych na architekturach x86, x64, ARM, MIPS, RISC-V i Xtensa. Wsparcie oferuj\u0105 systemy operacyjne takie jak Linux (w tym routery oparte na OpenWRT), Windows, macOS, Android i iOS. Mo\u017cliwa jest r\u00f3wnie\u017c kompilacja wasm3 do po\u015bredniego kodu WebAssembly w celu uruchomienia interpretera w przegl\u0105darce lub do lokalnego uruchamiania (self-hosting).<\/p>\n

Wysoka wydajno\u015b\u0107 osi\u0105gana jest dzi\u0119ki zastosowaniu w interpreterze techniki Massey Meta Machine<\/a><\/noindex> (M3), w kt\u00f3rej w celu zmniejszenia narzutu na dekodowanie bajtkod\u00f3w wykonywana jest wst\u0119pna translacja bajtkod\u00f3w na bardziej efektywne operacje, generuj\u0105ce pseudomaszynowy kod, natomiast model wykonawczy stosowej maszyny wirtualnej jest przekszta\u0142cany w bardziej efektywny model rejestrowy. Operacje w M3 s\u0105 funkcjami C, kt\u00f3rych argumentami s\u0105 rejestry wirtualnej maszyny, kt\u00f3re mog\u0105 by\u0107 odwzorowane na rejestry CPU. Cz\u0119sto wyst\u0119puj\u0105ce sekwencje operacji optymalizowane s\u0105 do z\u0142o\u017conych operacji.<\/p>\n

Dodatkowo mo\u017cna zaznaczy\u0107 wyniki badania<\/a><\/noindex> rozpowszechnienia
\nWebAssembly w internecie. Analizuj\u0105c 948 tysi\u0119cy najpopularniejszych stron wed\u0142ug rankingu Alexa, badacze odkryli, \u017ce WebAssembly jest u\u017cywane na 1639 stronach (0,17%), t.j. na 1 z co 600 stron. Na stronach zidentyfikowano za\u0142adowanie 1950 modu\u0142\u00f3w WebAssembly, z kt\u00f3rych 150 jest unikalnych. Podczas analizy zastosowa\u0144 WebAssembly dokonano niepokoj\u0105cych ustale\u0144 \u2014 w ponad 50% przypadk\u00f3w WebAssembly by\u0142o stosowane w celach szkodliwych, na przyk\u0142ad do kopania kryptowalut (55,7%) i ukrywania kodu z\u0142o\u015bliwych skrypt\u00f3w (0,2%). W\u015br\u00f3d legalnych zastosowa\u0144 WebAssembly zauwa\u017cono wykonanie bibliotek (38,8%), tworzenie gier (3,5%) oraz uruchamianie w\u0142asnego kodu napisanego nie w JavaScript (0,9%). W 14,9% przypadk\u00f3w WebAssembly by\u0142o wykorzystywane do analizy \u015brodowiska w celu identyfikacji u\u017cytkownik\u00f3w (fingerprinting).
\n

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

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

\u0179r\u00f3d\u0142o: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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