CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

The goal of this assignment is to implement high-performance CUDA kernels for tensor operations and integrate them with the MiniTorch framework. You will implement low-level operators in CUDA C++ and ...

英伟达发布最新版CUDA 13.1，官方直接定性：这是自2006年诞生以来最大的进步。 核心变化是推出全新的CUDA Tile编程模型，让开发者可以用Python写GPU内核，15行代码就能达到200行CUDA C++代码的性能。 英伟达是不是亲手终结了CUDA的“护城河”？如果英伟达也转向Tile ...

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