Work in progress.
Merging squish into nvtt. Using squish only to find endpoints, do discrete refinement afterwards.pull/216/head
castano
14 years ago
parent
c532ffb34e
commit
49482d1441
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// This code is in the public domain -- Ignacio Castaño <castano@gmail.com>
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#include "Vector.h" // Vector3, Vector4
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// Set some reasonable defaults.
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#ifndef NV_USE_ALTIVEC
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# define NV_USE_ALTIVEC POSH_CPU_PPC
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#endif
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#ifndef NV_USE_SSE
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# if NV_CPU_X86 || NV_CPU_X86_64
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# define NV_USE_SSE 2
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# endif
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#endif
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#if NV_USE_ALTIVEC
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# include "SimdVector_VE.h"
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#endif
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#if NV_USE_SSE
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# include "SimdVector_SSE.h"
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#endif
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@ -0,0 +1,201 @@
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/* -----------------------------------------------------------------------------
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Copyright (c) 2006 Simon Brown si@sjbrown.co.uk
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Permission is hereby granted, free of charge, to any person obtaining
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a copy of this software and associated documentation files (the
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"Software"), to deal in the Software without restriction, including
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without limitation the rights to use, copy, modify, merge, publish,
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distribute, sublicense, and/or sell copies of the Software, and to
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permit persons to whom the Software is furnished to do so, subject to
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the following conditions:
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The above copyright notice and this permission notice shall be included
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in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
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CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
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TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
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SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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-------------------------------------------------------------------------- */
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#ifndef NV_SIMD_VECTOR_SSE_H
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#define NV_SIMD_VECTOR_SSE_H
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#include <xmmintrin.h>
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#if (NV_USE_SSE > 1)
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#include <emmintrin.h>
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#endif
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namespace nv {
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class SimdVector
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{
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__m128 vec;
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typedef SimdVector const& Arg;
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SimdVector() {}
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explicit SimdVector(float f) : vec(_mm_set1_ps(f)) {}
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explicit SimdVector(__m128 v) : vec(v) {}
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SimdVector(const SimdVector & arg) : vec(arg.vec) {}
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SimdVector & operator=(const SimdVector & arg)
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{
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vec = arg.vec;
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return *this;
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}
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SimdVector(const float * v)
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{
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vec = _mm_load_ps( v );
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}
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SimdVector(float x, float y, float z, float w)
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{
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vec = _mm_setr_ps( x, y, z, w );
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}
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float toFloat() const
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{
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NV_ALIGN_16 float f;
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_mm_store_ss(&f, vec);
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return f;
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}
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Vector3 toVector3() const
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{
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NV_ALIGN_16 float c[4];
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_mm_store_ps( c, vec );
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return Vector3( c[0], c[1], c[2] );
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}
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Vector4 toVector4() const
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{
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NV_ALIGN_16 float c[4];
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_mm_store_ps( v.components, vec );
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return Vector4( c[0], c[1], c[2], c[3] );
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}
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#define SSE_SPLAT( a ) ((a) | ((a) << 2) | ((a) << 4) | ((a) << 6))
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SimdVector splatX() const { return SimdVector( _mm_shuffle_ps( vec, vec, SSE_SPLAT( 0 ) ) ); }
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SimdVector splatY() const { return SimdVector( _mm_shuffle_ps( vec, vec, SSE_SPLAT( 1 ) ) ); }
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SimdVector splatZ() const { return SimdVector( _mm_shuffle_ps( vec, vec, SSE_SPLAT( 2 ) ) ); }
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SimdVector splatW() const { return SimdVector( _mm_shuffle_ps( vec, vec, SSE_SPLAT( 3 ) ) ); }
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#undef SSE_SPLAT
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SimdVector& operator+=( Arg v )
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{
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vec = _mm_add_ps( vec, v.vec );
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return *this;
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}
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SimdVector& operator-=( Arg v )
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{
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vec = _mm_sub_ps( vec, v.vec );
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return *this;
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}
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SimdVector& operator*=( Arg v )
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{
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vec = _mm_mul_ps( vec, v.vec );
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return *this;
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}
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};
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SimdVector operator+( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( _mm_add_ps( left.vec, right.vec ) );
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}
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SimdVector operator-( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( _mm_sub_ps( left.vec, right.vec ) );
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}
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SimdVector operator*( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( _mm_mul_ps( left.vec, right.vec ) );
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}
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// Returns a*b + c
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SimdVector multiplyAdd( SimdVector::Arg a, SimdVector::Arg b, SimdVector::Arg c )
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{
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return SimdVector( _mm_add_ps( _mm_mul_ps( a.vec, b.vec ), c.vec ) );
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}
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// Returns -( a*b - c )
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SimdVector negativeMultiplySubtract( SimdVector::Arg a, SimdVector::Arg b, SimdVector::Arg c )
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{
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return SimdVector( _mm_sub_ps( c.vec, _mm_mul_ps( a.vec, b.vec ) ) );
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}
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SimdVector reciprocal( SimdVector::Arg v )
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{
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// get the reciprocal estimate
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__m128 estimate = _mm_rcp_ps( v.vec );
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// one round of Newton-Rhaphson refinement
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__m128 diff = _mm_sub_ps( _mm_set1_ps( 1.0f ), _mm_mul_ps( estimate, v.vec ) );
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return SimdVector( _mm_add_ps( _mm_mul_ps( diff, estimate ), estimate ) );
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}
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SimdVector min( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( _mm_min_ps( left.vec, right.vec ) );
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}
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SimdVector max( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( _mm_max_ps( left.vec, right.vec ) );
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}
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SimdVector truncate( SimdVector::Arg v )
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{
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#if (NV_USE_SSE == 1)
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// convert to ints
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__m128 input = v.vec;
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__m64 lo = _mm_cvttps_pi32( input );
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__m64 hi = _mm_cvttps_pi32( _mm_movehl_ps( input, input ) );
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// convert to floats
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__m128 part = _mm_movelh_ps( input, _mm_cvtpi32_ps( input, hi ) );
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__m128 truncated = _mm_cvtpi32_ps( part, lo );
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// clear out the MMX multimedia state to allow FP calls later
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_mm_empty();
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return SimdVector( truncated );
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#else
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// use SSE2 instructions
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return SimdVector( _mm_cvtepi32_ps( _mm_cvttps_epi32( v.vec ) ) );
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#endif
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}
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SimdVector compareEqual( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( _mm_cmpeq_ps( left.vec, right.vec ) );
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}
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SimdVector select( SimdVector::Arg off, SimdVector::Arg on, SimdVector::Arg bits )
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{
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__m128 a = _mm_andnot_ps( bits.vec, off.vec );
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__m128 b = _mm_and_ps( bits.vec, on.vec );
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return SimdVector( _mm_or_ps( a, b ) );
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}
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bool compareAnyLessThan( SimdVector::Arg left, SimdVector::Arg right )
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{
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__m128 bits = _mm_cmplt_ps( left.vec, right.vec );
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int value = _mm_movemask_ps( bits );
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return value != 0;
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}
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} // namespace nv
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#endif // NV_SIMD_VECTOR_SSE_H
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@ -0,0 +1,187 @@
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/* -----------------------------------------------------------------------------
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Copyright (c) 2006 Simon Brown si@sjbrown.co.uk
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Permission is hereby granted, free of charge, to any person obtaining
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a copy of this software and associated documentation files (the
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"Software"), to deal in the Software without restriction, including
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without limitation the rights to use, copy, modify, merge, publish,
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distribute, sublicense, and/or sell copies of the Software, and to
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permit persons to whom the Software is furnished to do so, subject to
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the following conditions:
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The above copyright notice and this permission notice shall be included
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in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
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OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
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CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
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TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
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SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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-------------------------------------------------------------------------- */
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#ifndef NV_SIMD_VECTOR_VE_H
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#define NV_SIMD_VECTOR_VE_H
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#ifndef __APPLE_ALTIVEC__
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#include <altivec.h>
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#undef bool
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#endif
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namespace nv {
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class SimdVector
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{
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vector float vec;
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typedef SimdVector Arg;
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SimdVector() {}
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explicit SimdVector(float v) : vec((vector float)(X)) {}
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explicit SimdVector(vector float v) : vec(v) {}
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SimdVector(const SimdVector & arg) : vec(arg.vec) {}
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SimdVector& operator=(const SimdVector & arg)
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{
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vec = arg.vec;
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return *this;
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}
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SimdVector(const float * v)
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{
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union { vector float v; float c[4]; } u;
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u.c[0] = v[0];
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u.c[1] = v[1];
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u.c[2] = v[2];
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u.c[3] = v[3];
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vec = u.v;
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}
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SimdVector(float x, float y, float z, float w)
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{
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union { vector float v; float c[4]; } u;
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u.c[0] = x;
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u.c[1] = y;
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u.c[2] = z;
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u.c[3] = w;
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vec = u.v;
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}
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float toFloat() const
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{
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union { vector float v; float c[4]; } u;
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u.v = vec;
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return u.c[0];
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}
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Vector3 toVector3() const
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{
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union { vector float v; float c[4]; } u;
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u.v = vec;
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return Vector3( u.c[0], u.c[1], u.c[2] );
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}
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Vector4 toVector4() const
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{
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union { vector float v; float c[4]; } u;
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u.v = vec;
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return Vector4( u.c[0], u.c[1], u.c[2], u.c[3] );
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}
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SimdVector splatX() const { return SimdVector( vec_splat( vec, 0 ) ); }
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SimdVector splatY() const { return SimdVector( vec_splat( vec, 1 ) ); }
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SimdVector splatZ() const { return SimdVector( vec_splat( vec, 2 ) ); }
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SimdVector splatW() const { return SimdVector( vec_splat( vec, 3 ) ); }
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SimdVector& operator+=( Arg v )
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{
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vec = vec_add( vec, v.vec );
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return *this;
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}
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SimdVector& operator-=( Arg v )
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{
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vec = vec_sub( vec, v.vec );
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return *this;
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}
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SimdVector& operator*=( Arg v )
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{
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vec = vec_madd( vec, v.vec, ( vector float )( -0.0f ) );
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return *this;
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}
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};
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SimdVector operator+( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( vec_add( left.vec, right.vec ) );
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}
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SimdVector operator-( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( vec_sub( left.vec, right.vec ) );
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}
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SimdVector operator*( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( vec_madd( left.vec, right.vec, ( vector float )( -0.0f ) ) );
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}
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// Returns a*b + c
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SimdVector multiplyAdd( SimdVector::Arg a, SimdVector::Arg b, SimdVector::Arg c )
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{
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return SimdVector( vec_madd( a.vec, b.vec, c.vec ) );
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}
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// Returns -( a*b - c )
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SimdVector negativeMultiplySubtract( SimdVector::Arg a, SimdVector::Arg b, SimdVector::Arg c )
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{
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return SimdVector( vec_nmsub( a.vec, b.vec, c.vec ) );
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}
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SimdVector reciprocal( SimdVector::Arg v )
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{
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// get the reciprocal estimate
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vector float estimate = vec_re( v.vec );
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// one round of Newton-Rhaphson refinement
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vector float diff = vec_nmsub( estimate, v.vec, ( vector float )( 1.0f ) );
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return SimdVector( vec_madd( diff, estimate, estimate ) );
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}
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SimdVector min( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( vec_min( left.vec, right.vec ) );
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}
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SimdVector max( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( vec_max( left.vec, right.vec ) );
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}
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SimdVector truncate( SimdVector::Arg v )
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{
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return SimdVector( vec_trunc( v.vec ) );
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}
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SimdVector compareEqual( SimdVector::Arg left, SimdVector::Arg right )
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{
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return SimdVector( ( vector float )vec_cmpeq( left.vec, right.vec ) );
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}
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SimdVector select( SimdVector::Arg off, SimdVector::Arg on, SimdVector::Arg bits )
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{
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return SimdVector( vec_sel( off.vec, on.vec, ( vector unsigned int )bits.vec ) );
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}
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bool compareAnyLessThan( SimdVector::Arg left, SimdVector::Arg right )
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{
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return vec_any_lt( left.vec, right.vec ) != 0;
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}
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} // namespace nv
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#endif // NV_SIMD_VECTOR_VE_H
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