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.