Alias ​​numekuku si wotu ɖe ƒomevi dzi le Toy Optimizer me

\u003ch2\u003eŊɔŋlɔdzesi ƒe numekuku si wotu ɖe ƒomevi dzi le Fefewɔnuwo ƒe Dɔwɔnu\u003c/h2\u003e me \u003cp\u003eNyati sia na gɔmesese veviwo kple nyatakaka tso eƒe tanya ŋu, si kpena ɖe sidzedze mama kple gɔmesese ŋu.\u003c/p\u003e \u003ch3\u003eNu vevi siwo wotsɔna yia teƒe bubuwo\u003c/h3\u003e \u003cp\u003eNuxlẽlawo ateŋu akpɔ mɔ be yewoakpɔ viɖe:\u003c/p\u003e \u003cul\u003e \u003cli\u003eNya si ŋu woƒo nu tsoe gɔmesese deto\u003c/li\u003e \u003cli\u003eDɔwɔwɔ ŋutɔŋutɔ kple xexeame ŋutɔŋutɔ ƒe vevienyenye\u003c/li\u003e \u003cli\u003eEŋutinunyalawo ƒe nukpɔsusuwo kple numekuku\u003c/li\u003e \u003cli\u003eNyatakaka yeye siwo ku ɖe ŋgɔyiyi siwo le edzi yim fifia ŋu\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003eAsixɔxɔ ƒe Nyagbɔgblɔ\u003c/h3\u003e \u003cp\u003eNyatakaka nyuiwo abe esia ene kpena ɖe sidzedze tutuɖo ŋu eye wòdoa nyametsotsowɔwɔ si ŋu wonya nu tsoe ɖe ŋgɔ le akpa vovovowo me.\u003c/p\u003e

Nyabiase Siwo Wobiana Enuenu

Nukae nye ŋkɔ bubu ƒe numekuku si wotu ɖe ƒomevi dzi le nuƒoƒoƒula ƒe nyonyomewɔla me?

Type-based alias analysis (TBAA) nye nuƒoƒoƒula ƒe nyonyome ƒe mɔnu si zãa type information tsɔ nyaa nenye be ŋkuɖodzinu eve ateŋu anye alias — si fia be woateŋu afia ŋkuɖodzi teƒe ɖeka. To nuŋɔŋlɔ ƒe se sesẽwo zazã me la, optimizer ateŋu agbugbɔ aɖo ɖoɖo nu dedie, aɖee ɖa, alo ana ŋkuɖodzidɔwɔwɔwo nanɔ bɔbɔe, si ana woawɔ kɔpi kabakaba wu evɔ matrɔ ɖoɖowɔɖia ƒe nuwɔna o.

Aleke Toy Optimizer wɔa alias numekuku ŋudɔe?

Toy Optimizer zãa type metadata si kpe ɖe agba kple nudzraɖoƒe ƒe dɔwɔwɔwo ŋu tsɔ tua alias hierarchy. Ne pointer eve ƒe ƒomeviwo mewɔ ɖeka o la, optimizer la tsɔe be womewɔa alias gbeɖe o eye ate ŋu agbugbɔ aɖo wo ɖe ɖoɖo nu faa. Esia wɔnɛ be woate ŋu aɖe nudzraɖoƒe kukuwo ɖa, agbawo ɖoɖo ɖe ame bubuwo, kple ŋkuɖodzinu ƒe nyonyome bubu siwo ne menye nenema o la, woaxe mɔ na to aliasing ƒe susu siwo wotsɔ dzraa nu ɖo me.

Nukatae alias analysis le vevie na code ƒe dɔwɔwɔ?

Ne ŋkɔ bubu ƒe numekuku manɔmee la, ele be nuƒoƒoƒulawo natsɔe be nufiamɔ̃ ɖesiaɖe ateŋu ayɔ ŋkuɖodziƒe ɖesiaɖe, si axe mɔ ɖe nyonyo ƒe mɔnukpɔkpɔwo nu vevie. Alias ​​numekuku nyuie ʋua loop vectorization, mɔfiame ɖoɖowɔɖi, kple redundant agba ɖeɖeɖa. Le dɔwɔla siwo le dɔwɔwɔ veviwo tum la, nukpɔsusu siawo gɔmesese le vevie — eye mɔ̃wo abe Mewayz ene naa modules 207 le $19/mo si ƒo nu tso nuƒoƒoƒula ƒe ɖoɖowɔwɔ, nyonyome ŋuti nufiafia, kple ɖoɖowo ƒe ɖoɖowɔwɔ ŋu le goglome.

Afikae mateŋu asrɔ̃ nu geɖe tso nuƒoƒoƒula ƒe nyonyome ƒe mɔnuwo ŋu?

Dze egɔme kple gɔmeɖoanyinuwo le domedome nɔnɔmetatawo, SSA ƒe nɔnɔme, kple nyatakakawo ƒe sisi me dzodzro ŋu. Tetekpɔ kple asi kple fefenuwo nuƒoƒoƒu naa nusɔsrɔ̃a zɔna kabakaba ŋutɔ. Mewayz naa mɔ si woɖo ɖe ɖoɖo nu kple modules 207 ɖe $19/mo ko nu, si xɔa nusianu tso gɔmedzedze ƒe optimization passes dzi va ɖo tanya deŋgɔwo abe alias analysis ene dzi, si naa aɖaŋu ŋutɔŋutɔ siwo nàte ŋu azã le xexeame ŋutɔŋutɔ ƒe nuƒoƒoƒula kple gbegɔmeɖela ƒe dɔwo me.

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