ashvardanian / ashvardanian/ParallelReductionsBenchmark
Add Python benchmarks for the new CUDA DSL/JIT
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Description
Now that [CCCL v3](https://github.com/NVIDIA/cccl/releases/tag/v3.0.0) can be used for [efficient parallel reductions in Python](https://developer.nvidia.com/blog/delivering-the-missing-building-blocks-for-nvidia-cuda-kernel-fusion-in-python) it would be great to create an additional benchmark file - `reduce_bench.py` with Python-ic JIT-ed kernels for parallel reductions, showcasing the impact of different hyper-parameters on the result.
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