Source codes

1 files changed, 119 insertions, 0 deletions

diff --git a/ComputeShaders/convolutionMain2Fixed.hlsl b/ComputeShaders/convolutionMain2Fixed.hlsl
new file mode 100644
index 0000000..d21dcbb
--- /dev/null
+++ b/ComputeShaders/convolutionMain2Fixed.hlsl
@@ -0,0 +1,119 @@
+// Optimized version of convolutionMain2.hlsl for kernel size = 3
+// Dispatch [ ( ( ne10 / 2 ) + TILE_Y - 1 ) / TILE_Y, ne02, 1 ] thread groups of this shader
+#ifndef TILE_Y
+static const uint TILE_Y = 8;
+#endif
+#ifndef THREADS
+static const uint THREADS = 64;
+#endif
+
+Buffer<float> arg0: register( t0 );
+Buffer<float> arg1: register( t1 );
+RWBuffer<float> result: register( u0 );
+
+cbuffer Constants: register( b0 )
+{
+	uint4 src0_elements: packoffset( c0 );
+	uint4 src0_strides: packoffset( c1 );
+	uint4 src1_elements: packoffset( c2 );
+	uint4 result_elements: packoffset( c4 );
+	uint4 result_strides: packoffset( c5 );
+}
+
+// The accumulators we're after
+groupshared float resTemp[ TILE_Y ][ THREADS ];
+
+// Multiply + accumulate the specified row
+inline void accumulate( float a0, float a1, const uint resultRow, const uint thread )
+{
+	float acc = resTemp[ resultRow ][ thread ];
+	acc = mad( a0, a1, acc );
+	resTemp[ resultRow ][ thread ] = acc;
+}
+
+inline void convolutionTile( const uint s0, uint s1, const uint thread, const uint stride, const uint height )
+{
+	// Load 3 rows from arg0
+	const float3 a0 = float3( arg0[ s0 ], arg0[ s0 + stride ], arg0[ s0 + stride * 2 ] );
+
+	// Row 0
+	float a1 = arg1[ s1 ];
+	accumulate( a0[ 0 ], a1, 0, thread );
+	s1 += stride;
+
+	for( uint i = 1; i < height; i++ )
+	{
+		// Row i*2-1
+		// Even-indexed rows only contribute to a single output rows, after muiltiplied by kernel row #1
+		a1 = arg1[ s1 ];
+		accumulate( a0[ 1 ], a1, i - 1, thread );
+		s1 += stride;
+
+		// Row i*2, contributes to 2 output rows corresponding to kernel rows #0 and #2
+		a1 = arg1[ s1 ];
+		accumulate( a0[ 2 ], a1, i - 1, thread );
+		accumulate( a0[ 0 ], a1, i, thread );
+		s1 += stride;
+	}
+
+	// Row height*2 - 1
+	a1 = arg1[ s1 ];
+	accumulate( a0[ 1 ], a1, height - 1, thread );
+	s1 += stride;
+
+	// Row height*2
+	a1 = arg1[ s1 ];
+	accumulate( a0[ 2 ], a1, height - 1, thread );
+}
+
+#include "miscUtils.hlsli"
+
+[ numthreads( THREADS, 1, 1 ) ]
+void main( uint3 group: SV_GroupID, uint thread : SV_GroupIndex )
+{
+	uint i;
+	// Zero out the accumulators
+	for( i = 0; i < TILE_Y; i++ )
+		resTemp[ i ][ thread ] = 0.0;
+	GroupMemoryBarrierWithGroupSync();
+
+	const uint i1 = group.y;
+	const uint i0 = group.x * TILE_Y * 2;
+	const uint height = min( TILE_Y, ( src1_elements.x / 2 ) - group.x * TILE_Y );
+
+	const uint ne00 = src0_elements[ 0 ];
+	const uint ne01 = src0_elements[ 1 ];
+	const int ew0 = roundUp32( ne01 );
+
+	uint s0 = i1 * ew0 * ne00;
+	const uint s0End = s0 + ew0;
+	uint s1 = i0 * ew0;
+	s0 += thread;
+	s1 += thread;
+	for( ; s0 < s0End; s0 += THREADS, s1 += THREADS )
+		convolutionTile( s0, s1, thread, ew0, height );
+
+	GroupMemoryBarrierWithGroupSync();
+
+	// Now we need horizontal sums of these shared accumulators, i.e. reduce [height][THREADS] shared array into [height][1] column
+	for( i = THREADS / 2; i > 0; i /= 2 )
+	{
+		if( thread < i )
+		{
+			for( uint j = 0; j < height; j++ )
+			{
+				float sum = resTemp[ j ][ thread ];
+				sum += resTemp[ j ][ thread + i ];
+				resTemp[ j ][ thread ] = sum;
+			}
+		}
+		GroupMemoryBarrierWithGroupSync();
+	}
+
+	// And finally, store that column to global memory
+	if( thread >= height )
+		return;
+	const uint nb1 = result_strides[ 1 ];
+	const uint rdi = i1 * nb1 + group.x * TILE_Y + thread;
+	result[ rdi ] = resTemp[ thread ][ 0 ];
+}
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