Published on February 25, 2026, the record highlights reduction, 1D convolution, histogram, and numerically stable softmax as key CUDA kernel patterns, with techniques for parallelization and memory use.
Published on February 25, 2026, the record presents four core CUDA kernel patterns: parallel reduction, 1D convolution, histogram, and numerically stable softmax. Techniques cited include tiling, halo regions, data reuse, atomics, and multi-stage reduction. The text points to recurring challenges in parallelization, memory reuse, and contention.
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