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https://github.com/microsoft/DirectXMath
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October 2024 (#214)
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@ -6,6 +6,12 @@ Release available for download on [GitHub](https://github.com/microsoft/DirectXM
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## Release History
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### October 2024 (3.20)
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* Fixed close-to-zero bug in the implementation of `TriangleTests::Intersects`
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* Renamed implementation namespace from `DirectX::Internal` to `DirectX::MathInternal` to avoid some conformance issues with other libraries
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* CMake project updates including support for ARM64EC
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* Added GitHub Actions YAML files
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### February 2024 (3.19)
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* Fix to address MinGW issue with ``__cpuid`` in cpuid.h vs. intrin.h
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* Additional updates for clang/LLVM and GNUC
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@ -3,7 +3,7 @@
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cmake_minimum_required (VERSION 3.20)
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set(DIRECTXMATH_VERSION 3.19)
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set(DIRECTXMATH_VERSION 3.20)
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project(DirectXMath
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VERSION ${DIRECTXMATH_VERSION}
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@ -13,7 +13,7 @@
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#error DirectX Math requires C++
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#endif
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#define DIRECTX_MATH_VERSION 319
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#define DIRECTX_MATH_VERSION 320
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#if defined(_MSC_VER) && (_MSC_VER < 1910)
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#error DirectX Math requires Visual C++ 2017 or later.
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@ -6,7 +6,7 @@ https://github.com/Microsoft/DirectXMath
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Copyright (c) Microsoft Corporation.
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**February 2024**
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**October 2024**
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This package contains the DirectXMath library, an all inline SIMD C++ linear algebra library for use in games and graphics apps.
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30
XDSP/XDSP.h
30
XDSP/XDSP.h
@ -41,7 +41,7 @@ namespace XDSP
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using CXMVECTOR = DirectX::CXMVECTOR;
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using XMFLOAT4A = DirectX::XMFLOAT4A;
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inline bool ISPOWEROF2(size_t n) { return (((n)&((n)-1)) == 0 && (n) != 0); }
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constexpr bool ISPOWEROF2(size_t n) { return (((n)&((n)-1)) == 0 && (n) != 0); }
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// Parallel multiplication of four complex numbers, assuming real and imaginary values are stored in separate vectors.
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inline void XM_CALLCONV vmulComplex(
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@ -457,42 +457,44 @@ namespace XDSP
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// pUnityTable[0 to uLength*4-1] contains real components for current FFT length
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// pUnityTable[uLength*4 to uLength*8-1] contains imaginary components for current FFT length
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static const XMVECTORF32 vXM0123 = { { { 0.0f, 1.0f, 2.0f, 3.0f } } };
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uLength >>= 2;
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XMVECTOR vlStep = XMVectorReplicate(XM_PIDIV2 / float(uLength));
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size_t len = uLength;
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len >>= 2;
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XMVECTOR vlStep = XMVectorReplicate(XM_PIDIV2 / float(len));
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do
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{
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uLength >>= 2;
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len >>= 2;
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XMVECTOR vJP = vXM0123;
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for (size_t j = 0; j < uLength; ++j)
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for (size_t j = 0; j < len; ++j)
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{
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XMVECTOR vSin, vCos;
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XMVECTOR viJP, vlS;
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pUnityTable[j] = g_XMOne;
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pUnityTable[j + uLength * 4] = XMVectorZero();
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pUnityTable[j + len * 4] = XMVectorZero();
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vlS = XMVectorMultiply(vJP, vlStep);
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XMVectorSinCos(&vSin, &vCos, vlS);
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pUnityTable[j + uLength] = vCos;
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pUnityTable[j + uLength * 5] = XMVectorMultiply(vSin, g_XMNegativeOne);
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pUnityTable[j + len] = vCos;
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pUnityTable[j + len * 5] = XMVectorMultiply(vSin, g_XMNegativeOne);
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viJP = XMVectorAdd(vJP, vJP);
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vlS = XMVectorMultiply(viJP, vlStep);
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XMVectorSinCos(&vSin, &vCos, vlS);
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pUnityTable[j + uLength * 2] = vCos;
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pUnityTable[j + uLength * 6] = XMVectorMultiply(vSin, g_XMNegativeOne);
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pUnityTable[j + len * 2] = vCos;
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pUnityTable[j + len * 6] = XMVectorMultiply(vSin, g_XMNegativeOne);
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viJP = XMVectorAdd(viJP, vJP);
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vlS = XMVectorMultiply(viJP, vlStep);
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XMVectorSinCos(&vSin, &vCos, vlS);
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pUnityTable[j + uLength * 3] = vCos;
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pUnityTable[j + uLength * 7] = XMVectorMultiply(vSin, g_XMNegativeOne);
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pUnityTable[j + len * 3] = vCos;
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pUnityTable[j + len * 7] = XMVectorMultiply(vSin, g_XMNegativeOne);
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vJP = XMVectorAdd(vJP, g_XMFour);
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}
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vlStep = XMVectorMultiply(vlStep, g_XMFour);
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pUnityTable += uLength * 8;
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} while (uLength > 4);
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pUnityTable += len * 8;
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} while (len > 4);
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}
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//----------------------------------------------------------------------------------
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