Socodka tignoolajiyada waa mid aan la dhaafi karin oo meelna kama run sheegin marka loo eego qalabka garaafyada. Sannad kasta kaadhadhku si aad ah ayay u dhaqso badan yihiin waxayna keenaan gabayo cusub oo cusub oo tabaha garaafyada ah. 

Markaad eegto goobaha muuqaalka ee ciyaaraha PC, waxaad la kulmi doontaa salad kelmad oo ka kooban nuggets dhadhan fiican leh sida MSAA, FXAA, SMAA iyo WWJD . OK, malaha kii u danbeeyay.

Haddii aad tahay mulkiilaha nasiibka leh ee kaarka Nvidia GeForce RTX cusub, waxaad sidoo kale dooran kartaa inaad awood u yeelato wax la yiraahdo DLSS . Waa mid gaaban oo loogu talagalay Learning Super Sampling^{(Deep Learning Super Sampling)} waana qayb weyn oo ka mid ah astaamaha qalabka jiilka soo socda ee laga helo kaararka Nvidia RTX .

Waqtiga qorista, kaadhadhkan kaliya ayaa haysta qalabka loo baahan yahay si ay u socodsiiyaan DLSS :

• RTX 2060
• RTX 2060 Super
• RTX 2070
• RTX 2070 Super
• RTX 2080
• RTX 2080 Super
• RTX 2080 Ti

Qalabka gaarka ah ee su'aasha ah waxaa loo tixraacaa sida " Tensor " xudunta, iyada oo nooc kastaa uu leeyahay tiro ka duwan kuwan soo-saareyaasha gaarka ah.

Koofiyadaha Tensor waxaa loogu talagalay in lagu dardargeliyo hawlaha barashada mashiinka, taas oo DLSS ay tusaale u tahay. Haddii aadan isticmaalin DLSS , qaybta kaadhka ayaa ahaan doonta mid aan shaqayn. Tani waxay ka dhigan tahay inaadan isticmaalin awoodda buuxda ee GPU -gaaga cusub ee dhalaalaya haddii DLSS la heli karo, laakiin weli waa maqan yahay. 

Waxaa jira wax ka badan taas in kastoo. Si loo fahmo qiimaha DLSS u keeno miiska, waa inaan si kooban u dhexgalnaa fikrado dhowr ah oo la xidhiidha.

U leexashada Degdegga ah ee Go'aamada Gudaha & Kor-u-qaadista^{(A Quick Detour Into Internal Resolutions & Upscaling)}

TV-yada casriga ah iyo kormeerayaasha waxay leeyihiin waxa loo yaqaan ^{(Modern TVs)}xallinta^(resolution) "dhalad" . Tani waxay si fudud ka dhigan tahay in shaashadda ay leedahay tiro gaar ah oo pixels jireed. Haddii sawirka aad ku muujinayso shaashaddaas uu ka duwan yahay xallinta saxda ah ee waddaniga ah, waa in "la miisaamaa" kor ama hoos si uu ugu habboonaado. 

Markaa haddii aad u soo saartid muuqaal HD muuqaal 4K ah^{(4K display)} , tusaale ahaan, waxay u ekaan doontaa mid aad u xanniban oo jagaysan. Sida haddii aad aad u fogaysay sawirka dhijitaalka ah. Ficil ahaan si kastaba ha ahaatee, fiidiyowga HD^{(HD video)} wuxuu u muuqdaa mid si fiican ugu muuqda TV-ga 4K, haddii laga yaabo in uu wax yar ka fiiqan yahay muuqaallada 4K ee asalka ah. Taasi waa sababta oo ah TV-gu waxa uu leeyahay qayb qalab ah oo loo yaqaan "upscaler" kaas oo farsameeya oo miiraya sawirka hoose si uu u eego mid la aqbali karo.

Dhibaatadu waxay tahay in tayada qalabka kor loo qaadayo ay aad ugu kala duwan tahay noocyada bandhiga iyo moodooyinka. Taasi^(Which) waa sababta GPU-yadu^(GPUs) inta badan ula yimaadaan tignoolajiyada is-miidaminta.

Qalabka loo yaqaan 'pro' consoles' ee loogu talagalay in lagu soo saaro bandhig 4K ah ayaa soo bandhigaya muuqaal 4K ah oo asal ah, si aan kor u kicin muuqaal ahi u dhicin gabi ahaanba. Tani waxay ka dhigan tahay kuwa horumariya ciyaaraha inay si buuxda gacanta ugu hayaan tayada sawirka kama dambaysta ah. 

Si kastaba ha ahaatee, inta badan ciyaaraha konsole-ka kuma keenaan xal 4K hooyo ah. Waxay leeyihiin xallin hoose "gudaha", taas oo culays yar saaraysa GPU -ga . Sawirkaas ayaa markaa kor loo qaadayaa si uu ugu ekaado sida ugu wanaagsan ee suurtogalka ah shaashadda xallinta sare iyadoo la adeegsanayo tignoolajiyada is-miidaminta gudaha ee konsole.

Saamayn ahaan, DLSS waa hab casri ah oo ka dhigaya ciyaarta PC mid ka hooseeya xallinta asalka ah ka dibna adeegsata tignoolajiyada DLSS si ay kor ugu qaaddo bandhigga ku xiran. Aragti ahaan tani waxay keenaysaa kor u kaca waxqabadka. 

In kasta oo ay taasi u egtahay waxa ka dhacaya consoles-yada 4K, hoosta DLSS waa wax gaar ah. Dhammaan mahad ayaa leh "waxbarasho qoto dheer".

Maxay ku saabsan tahay "Barashada qoto dheer"?^{(What’s The “Deep Learning” Bit About?)}

Barashada qoto dheer waa farsamada wax lagu barto mashiinka oo adeegsata shabaqyada neerfaha ee la isku daray. Si kale haddii loo dhigo, qiyaasta dhijitaalka ah ee sida neerfayaasha maskaxdaadu u bartaan oo u abuuraan xalalka dhibaatooyinka adag.

Waa tignoolajiyada, oo ay ka mid yihiin waxyaabo kale, u oggolaanaya kombuyuutarku inay aqoonsadaan wejiyada oo u oggolaanaya robots inay fahmaan oo dhex maraan adduunka ku wareegsan. Waxa kale oo ay mas'uul ka tahay soo noqnoqda dhawaanahan ee been- abuurka qotodheer^(deepfakes) . Taasi waa maraqa sirta ah ee DLSS. 

Shabakadaha neerfaha waxay u baahan yihiin "tababar" kaas oo asal ahaan muujinaya tusaalooyinka saafiga ah ee waxa ay tahay in ay noqdaan. Haddii aad rabto in aad barato shabagga sida loo aqoonsado wejiga, waxaad tusinaysaa malaayiin weji, adigoo u ogolaanaya inuu barto sifooyinka iyo qaababka ka samaysan waji caadi ah. Haddii ay casharka si fiican u barato, waxaad tusi kartaa sawir kasta oo weji ku yaal, oo isla markiiba wuu soo saari doonaa.

Waxa Nvidia ay samaysay waa in ay ku tababarto barnaamijkooda barashada qoto dheer ee sawirada aadka u sarreeya ee ciyaaraha taageera DLSS . Shabakadda neerfaha waxay barataa sida ay ciyaartu u ekaan karto marka la bixiyo iyadoo la adeegsanayo waxqabadka garaafyada heerka kombuyuutarka.

Waxay markaa qaadanaysaa qaab-dhismeedka hoose ee xallinta gudaha iyo, la'aanta kelmad ka wanaagsan, "malaynayso" sida uu u ekaan lahaa haddii kombuyuutar aad uga xoog badan kan kaaga uu sameeyo goobta. Haddii ay taasi si fiican kuugula ekaato sixir madow, keligaa ma tihid!

Goorma La Isticmaalayo DLSS^{(When To Use DLSS)}

Marka hore^(First) , waxaad kaliya u isticmaali kartaa DLSS ciyaaraha taageeraya, taas oo ah liis si degdeg ah u koraya, mahadsanid. Magac kastaa waxa kale oo uu leeyahay shuruudo u gaar ah DLSS , sida samaynta xalinta ugu yar, sababtoo ah taasi waa waxa shabakada neerfaha lagu tababaray.

Si kastaba ha ahaatee, maskaxda weyn ee Nvidia ma joojinayso waxbarashada iyo qaabka DLSS ee kaadhkaaga ayaa sii wadi doona helitaanka cusbooneysiinta, kordhinta taageerada iyo tayada cinwaan kasta.

Habka ugu fiican ee lagu ogaan karo haddii ay tahay inaad DLSS u isticmaasho ciyaarahaaga waa inaad natiijada isha ku qabato. Is barbar dhig kor u qaadida dhaqanka ama ka-hortagga aliasing si aad u aragto mid ka wanaagsan. Waxqabadku sidoo kale waa qodob go'aan oo muhiim ah. Haddii aad beegsanayso 60 xaraf ilbidhiqsikii, laakiin aadan halkaas gaadhi karin, DLSS waa doorasho wanaagsan.

Si kastaba ha ahaatee, haddii aad helayso heerar sare oo heersare ah, DLSS dhab ahaantii wax bay hoos u dhigi kartaa. Taasi waa sababta oo ah koleejyada tensor-ku waxay u baahan yihiin wakhti go'an si ay u habeeyaan jir kasta. Hadda si dhakhso ah uma samayn karaan si ku filan ciyaarta heerka sare.

Asal ahaan, DLSS waxa ay aad u faa'iido badan tahay marka la isticmaalayo bandhig cabbir sare leh (tusaale 4K, ultrawide ama 1440p resolutions) oo leh cabbir bar-tilmaameed ah oo ku dhow 60 fiim ilbiriqsikii. Sidoo kale aad bay faa'iido u leedahay marka la dhaqaajinayo khiyaamada xisbiga kale ee ugu weyn ee kaararka RTX - raadinta ray. DLSS waxay si fiican u dhimi kartaa lumitaanka hawl qabad ee raadinta rayiga, iyadoo natiijada ugu dambeysa ay tahay mararka qaarkood cajiib ah.

Taasi waa waxa ugu yar ee aad u baahan tahay inaad ogaato ka hor intaadan go'aansan inaad raacdo DLSS iyo in kale. Xasuusnoow^(Just) in tignoolajiyadani ay si degdeg ah isu beddeshay, markaa haddii aanad jeclayn natiijooyinka maanta, ku soo noqo dhawr bilood ka dib, waxaana laga yaabaa in ugu dambayn lagu afuufo.

What Is DLSS and Should You Use It In Games

The marсh of technologу is inexorable and nowherе is this more true than with graphіcs hardware. Every year cardѕ get significantly faster and bring a whole new set of acronyms for fancy graphical tricks. 

Looking at the visual settings for PC games, you’ll encounter a word salad that contains such tasty nuggets as MSAA, FXAA, SMAA and WWJD. OK, maybe not that last one.

If you are the lucky owner of a new Nvidia GeForce RTX card, you can now also choose to enable something called DLSS. It’s short for Deep Learning Super Sampling and is a big part of the next generation hardware features found in Nvidia RTX cards.

At the time of writing, only these cards have the required hardware to run DLSS:

• RTX 2060
• RTX 2060 Super
• RTX 2070
• RTX 2070 Super
• RTX 2080
• RTX 2080 Super
• RTX 2080 Ti

The specific hardware in question is referred to as a “Tensor” core, with each model having a different number of these specialized processors.

Tensor cores are designed to accelerate machine learning tasks, which DLSS is an example of. If you don’t use DLSS, that part of the card remains idle. This means you aren’t using the full capacity of your shiny new GPU if DLSS is available, but remains off. 

There’s more to it than that though.To understand what value DLSS brings to the table, we have to digress briefly into a few related concepts.

A Quick Detour Into Internal Resolutions & Upscaling

Modern TVs and monitors have what’s known as a “native” resolution. This simply means that the screen has a specific number of physical pixels. If the image you are displaying on that screen differs from the exact native resolution, it has to be “scaled” up or down to make it fit. 

So if you output an HD image to a 4K display, for example, it’s going to look quite blocky and jagged. Just as if you’ve zoomed a digital photo in too far. In practice however, HD video looks just fine on a 4K TV, if perhaps a little less sharp than native 4K footage. That’s because the TV has a piece of hardware known as an “upscaler” that processes and filters the lower-resolution image to look acceptable.

The problem is that the quality of the upscaling hardware varies wildly between display brands and models. Which is why GPUs often come with their own scaling technology.

The “pro” consoles that are designed to output to a 4K display present it with a native 4K image, so that no display upscaling happens at all. This means the developers of games have complete control of the final image quality. 

However, most console games do not render at a native 4K resolution. They have a lower “internal” resolution, which puts less stress on the GPU. That image is then scaled up to look as good as possible on the high-resolution screen using the console’s internal scaling technology.

In effect, DLSS is a sophisticated method that renders a PC game at a lower than native resolution and then uses the DLSS technology to upscale it for the connected display. In theory this leads to a significant boost in performance. 

While that sounds a lot like what’s happening on 4K consoles, under the hood DLSS is really something special. All thanks to “deep learning”.

What’s The “Deep Learning” Bit About?

Deep learning is a machine learning technique that uses a simulated neural net. In other words, a digital approximation of how the neurons in your brain learn and create solutions to complex problems.

It’s the technology that, among other things, allows computers to recognize faces and lets robots understand and navigate the world around them. It’s also responsible for the recent spates of deepfakes. That’s the secret sauce of DLSS. 

Neural networks require “training” which is basically showing the net examples of what something should be like. If you want to teach the net how to recognize a face, you show it millions of faces, letting it learn the features and patterns that make up a typical face. If it learns the lesson properly, you can show it any image with a face in it, and it will pick it out instantly.

What Nvidia have done is to train their deep learning software on incredibly high-resolution images from the games that support DLSS. The neural network learns what the game “should” look like when rendered using supercomputer-level graphics performance.

It then takes that lower internal resolution frame and, for lack of a better word, “imagines” what it would have looked like if a much, much more powerful computer than yours had rendered the scene. If that sounds a little like black magic to you well, you’re not alone!

When To Use DLSS

First of all, you can only use DLSS in games that support it, which is a list that’s growing quickly, thankfully. Each title also has its own requirements for DLSS, such as rendering at a minimum resolution, because that’s what the neural net has been trained on.

However, the big brain at Nvidia doesn’t stop learning and the DLSS feature on your card will keep getting updates, expanding per-title support and quality.

The best way to figure out if you should use DLSS in your games is to eyeball the result. Compare it to traditional upscaling or anti-aliasing to see which is more pleasant. Performance is also an important deciding factor. If you are targeting 60 frames per second, but can’t get there, DLSS is a good choice.

If you are getting high frame rates however, DLSS can actually slow things down. That’s because the tensor cores need a fixed amount of time to process each frame. Right now they can’t do it quickly enough for high frame rate play.

Essentially, DLSS is most useful when using a high-resolution display (e.g. 4K, ultrawide or 1440p resolutions) with a target frame rate at around 60 frames per second. It’s also incredibly useful when activating the other main party trick of RTX cards – ray tracing. DLSS can offset the performance loss of ray tracing quite well, with an end result that is at times spectacular.

That’s the least you need to know before deciding to go with DLSS or not. Just remember that this technology is changing rapidly, so if you don’t like the results today, come back in a few months and you just might just be blown away at last.

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