This presentation delves into the intricate architectures of CPUs and GPUs, highlighting their distinct roles and capabilities. It covers the CPU Architecture, emphasizing its efficiency in executing sequential code with complex control flows, and contrasts it with the GPU Architecture, designed for handling data-level parallel problems through SIMD (Single Instruction, Multiple Data) threads.
The session also explores Application Programming Interfaces (APIs), detailing how they abstract hardware specifics to provide a unified programming model for GPUs. A significant focus is placed on Vulkan, a modern, low-overhead API that offers high-efficiency, cross-platform access to GPUs. Vulkan provides developers with more control over the GPU, enabling better performance and more balanced CPU/GPU workloads, making it ideal for high-performance real-time graphics applications.
The Rendering Pipeline is examined, offering insights into the stages of rendering from vertex processing to fragment shading.
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