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Added new product implementation.
Just works for square, power of 2 matrices of floats.
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@ -99,6 +99,7 @@ static void ei_cache_friendly_product(
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Scalar* EIGEN_RESTRICT rhsCopy
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= ei_aligned_stack_new(Scalar, l2BlockSizeAligned*l2BlockSizeAligned);
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#ifndef EIGEN_USE_NEW_PRODUCT
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// loops on each L2 cache friendly blocks of the result
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for(int l2i=0; l2i<rows; l2i+=l2BlockRows)
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{
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@ -338,6 +339,67 @@ static void ei_cache_friendly_product(
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}
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}
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#else
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// loops on each L2 cache friendly blocks of the result
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for(int l2i=0; l2i<rows; l2i+=l2BlockRows)
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{
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for(int l2j=0; l2j<cols; l2j+=l2BlockCols)
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{
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// We have selected a block of lhs
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// Packs this block into 'block'
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for(int j=0; j<l2BlockCols; ++j)
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{
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int count = 0;
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for(int i=0; i<l2BlockRows; ++i)
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{
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block[ (j*l2BlockCols) + i] = lhs[(j+l2j)*rows+l2i+count++];
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}
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}
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// loops on each L2 cache firendly block of the result/rhs
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for(int l2k=0; l2k<cols; l2k+=l2BlockCols)
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{
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for(int j=0; j<l2BlockCols; ++j)
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{
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for(int i=0; i<l2BlockRows; i+=PacketSize)
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{
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PacketType A0, A1, A2, A3, A4, A5;
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// Load the packets from rhs and reorder them
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// Here we need some vector reordering
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// Right now its hardcoded to packets of 4 elements
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A0 = ei_pset1(rhs[(j+l2k)*rows+(i+l2j)]);
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A1 = ei_pset1(rhs[(j+l2k)*rows+(i+l2j)+1]);
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A2 = ei_pset1(rhs[(j+l2k)*rows+(i+l2j)+2]);
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A3 = ei_pset1(rhs[(j+l2k)*rows+(i+l2j)+3]);
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for(int k=0; k<l2BlockRows; k+=PacketSize)
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{
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PacketType L0, L1, L2, L3;
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// We perform "cross products" of vectors to avoid
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// reductions (horizontal ops) afterwards
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A4 = ei_pload(&res[(j+l2k)*rows+l2i+k]);
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L0 = ei_pload(&block[ k + (i + 0)*l2BlockRows ]);
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L1 = ei_pload(&block[ k + (i + 1)*l2BlockRows ]);
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A4 = ei_pmadd(L0, A0, A4);
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L2 = ei_pload(&block[ k + (i + 2)*l2BlockRows ]);
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A4 = ei_pmadd(L1, A1, A4);
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L3 = ei_pload(&block[ k + (i + 3)*l2BlockRows ]);
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A4 = ei_pmadd(L2, A2, A4);
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A4 = ei_pmadd(L3, A3, A4);
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ei_pstore(&res[(j+l2k)*rows+l2i+k], A4);
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}
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}
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}
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}
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}
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}
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#endif
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ei_aligned_stack_delete(Scalar, block, allocBlockSize);
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ei_aligned_stack_delete(Scalar, rhsCopy, l2BlockSizeAligned*l2BlockSizeAligned);
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}
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