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Awesome GitHub RepositoriesConvolutional Hardware Accelerators
Hardware mechanisms and transformations that convert convolutions into matrix multiplications for high-throughput execution.
Distinct from Convolutional Operations: Focuses on the hardware acceleration mechanism (cube units/matrix conversion) rather than the mathematical operation itself.
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Awesome Convolutional Hardware Accelerators GitHub Repositories
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- infrasys-ai/aisystem
Infrasys-AI/AISystem
17,017在 GitHub 上查看AISystem is a comprehensive AI full-stack infrastructure project covering the entire pipeline from AI chip architecture to high-level training frameworks. It encompasses the development of AI compiler frameworks, inference engines, and distributed training orchestrators designed to coordinate workloads across a heterogeneous compute stack of CPUs, GPUs, and NPUs. The project focuses on the deep integration of software and hardware, employing software-hardware co-design to align tensor layouts with physical memory structures. It provides specialized capabilities for accelerating Transformer mo
Accelerates convolutional operations by transforming them into matrix multiplications leveraging dedicated hardware cube units.
Jupyter Notebookaiaiinfraaisys
