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Diff for: posts/blosc2-matmul.rst

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.. title: Optimizing chunks for matrix multiplication. A new approach to matrix processing
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.. title: Optimizing chunks for matrix multiplication in Blosc2
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.. author: Ricardo Sales Piquer
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.. slug: optimizing-chunks-blosc2
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.. date: 2025-03-12 9:00:00 UTC
@@ -54,9 +54,9 @@ The image illustrates a **blocked matrix multiplication** approach. The key idea
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is to divide matrices into smaller blocks (or chunks) to optimize memory
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access and computational efficiency.
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In the image, matrix :math:`A (M \times K`) and matrix :math:`B (K \times N`)
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In the image, matrix `A (M x K)` and matrix `B (K x N)`
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are partitioned into chunks, and these are partitioned into blocks. The resulting
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matrix :math:`C (M \times N`) is computed as a sum of block-wise multiplication.
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matrix `C (M x N)` is computed as a sum of block-wise multiplication.
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This method significantly improves cache utilization by ensuring that only the
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necessary parts of the matrices are loaded into memory at any given time. In

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