October 2024
Intermediate
240 pages
6h 57m
Japanese
Content preview from 図解まるわかり VR・AR・MRのしくみ
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178
CUDA
生成AIの学習を実現する
超高速計算言語
7-10
進化する3Dコンテンツ生成技術
XRコンテンツにおける生成 AI は、大量のデータを効率的に処理し、複雑
なモデルを学習する必要があります。しかし、それには膨大な計算量が必要
であり、従来のCPU では処理速度が追いつかないという課題がありました。
そこで活用されるのが、並列処理やGPUなどを活用して、大規模計算
を効率的に行うために設計された超高速計算言語です（図7-19）。これに
より、大規模な計算を高速化することで、XRコンテンツの生成や処理が
迅速に行われ、リアルタイムでのコンテンツ生成が可能になります。
さらに、この技術を応用することで、ユーザーの入力や環境の変化に応
じ、3Dモデルの内容や表現を動的に変化させることができるようになりま
す。例えば、ユーザーの動作や表情に合わせてアバターの動きや表情が変
化したり、仮想オブジェクトの配置や見え方が変わったりするなど、ユー
ザーごとにパーソナライズされたコンテンツを生成することができます。
XRを支える基盤技術として不可欠なCUDA
超高速計算言語の代表例が、CUDA（ComputeUnified Device
Architecture：クーダ）です。CUDAは、NVIDIA が提供するGPUの並列処
理能力を活用したプログラミング言語で、CPUと比べて圧倒的な処理速
度を実現します。
具体的には、数十〜数百倍の処理速度を持ち、従来のCPUでは処理が
困難だった複雑なアルゴリズムを実行する ...
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