GPU Architecture

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A GPU Architecture is a _____ architecture for the development of graphics processing unit (GPU). computations.

  • Context:
    • It can (typically) be designed to handle the parallel processing tasks of rendering graphics and video.
    • It can (often) include features like Tensor Cores for Deep Learning, Ray Tracing Cores for realistic lighting effects in games and simulations, and CUDA Cores for general purpose computing.
    • It can (often) be categorized into different types based on their design and intended use cases, such as Integrated Graphics found in CPU chips, Discrete Graphics cards used in high-performance computing and gaming, and Cloud-based GPUs for data centers and cloud computing services.
    • It can (typically) be updated over time to include more cores, better energy efficiency, and support for new programming models and APIs such as DirectX, Vulkan, and CUDA.
    • ...
  • Example(s):
    • The NVIDIA Ampere architecture, known for its enhanced ray tracing and tensor core capabilities for both gaming and AI applications.
    • The AMD RDNA 2 architecture, which powers the next-generation gaming consoles and high-end graphics cards with improved power efficiency and performance.
    • The Intel Xe architecture, representing Intel's entry into dedicated GPU market with a focus on scalable performance for a wide range of computing tasks.
    • ...
  • Counter-Example(s):
    • A CPU Architecture, which is optimized for sequential processing tasks.
    • An ASIC Design, which is a hardware architecture designed for a specific application rather than general-purpose computing or graphics rendering.
  • See:Graphics Processing Unit, CUDA Cores, Ray Tracing, Tensor Cores, Parallel Computing.