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NVIDIA Expands Python Capabilities with CUDA Kernel Fusion Tools
NVIDIA Expands Python Capabilities with CUDA Kernel Fusion Tools
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BTCCSquare news:
NVIDIA has introduced cuda.cccl, a new toolset aimed at bridging the gap for Python developers working with CUDA kernel fusion. The toolset provides essential building blocks to enhance performance across GPU architectures, offering Pythonic interfaces to Core compute libraries traditionally dominated by C++.
The parallel and cooperative libraries within cuda.cccl enable developers to compose high-performance algorithms without resorting to C++ or crafting intricate CUDA kernels from scratch. This advancement is expected to streamline workflows for projects leveraging PyTorch and TensorFlow, where optimized, architecture-independent code is critical.
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