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SimpleMath.h wraps the DirectXMath SIMD vector/matrix math API with an easier to use C++ interface. It provides the following types, with similar names, methods, and operator overloads to the XNA Game Studio math API:
Using the SimpleMath library
Basic game math
Mixing SimpleMath and DirectXMath
using namespace DirectX::SimpleMath;
Why wrap DirectXMath?
DirectXMath provides highly optimized vector and matrix math functions, which take advantage of SSE SIMD intrinsics when compiled for x86/x64, or the ARM NEON instruction set when compiled for an ARM platform such as Windows RT or Windows Phone. The downside
of being designed for efficient SIMD usage is that DirectXMath can be somewhat complicated to work with. Developers must be aware of correct type usage (understanding the difference between SIMD register types such as XMVECTOR vs. memory storage types such
as XMFLOAT4), must take care to maintain correct alignment for SIMD heap allocations, and must carefully structure their code to avoid accessing individual components from a SIMD register. This complexity is necessary for optimal SIMD performance, but sometimes
you just want to get stuff working without so much hassle!
These types derive from the equivalent DirectXMath memory storage types (for instance Vector3 is derived from XMFLOAT3), so they can be stored in arbitrary locations without worrying about SIMD alignment, and individual components can be accessed without bothering
to call SIMD accessor functions. But unlike XMFLOAT3, the Vector3 type defines a rich set of methods and overloaded operators, so it can be directly manipulated without having to first load its value into an XMVECTOR. Vector3 also defines an operator for automatic
conversion to XMVECTOR, so it can be passed directly to methods that were written to use the lower level DirectXMath types.
If that sounds horribly confusing, the short version is that the SimpleMath types pretty much "Just Work" the way you would expect them to.
By now you must be wondering, where is the catch? And of course there is one. SimpleMath hides the complexities of SIMD programming by automatically converting back and forth between memory and SIMD register types, which tends to generate additional load and
store instructions. This can add significant overhead compared to the lower level DirectXMath approach, where SIMD loads and stores are under explicit control of the programmer.
You should use SimpleMath if you are:
- Looking for a C++ math library with similar API to the C# XNA types
- Porting existing XNA code from C# to C++
- Wanting to optimize for programmer efficiency (simplicity, readability, development speed) at the expense of runtime efficiency
You should go straight to the underlying DirectXMath API if you:
- Want to create the fastest possible code
- Enjoy the lateral thinking needed to express algorithms in raw SIMD
This need not be a global either/or decision. The SimpleMath types know how to convert themselves to and from the corresponding DirectXMath types, so it is easy to mix and match. You can use SimpleMath for the parts of your program where readability and development
time matter most, then drop down to DirectXMath for performance hotspots where runtime efficiency is more important.
The SimpleMath wrapper does not include classes for bounding volumes because they are already implemented in the DirectXMath library, and are included by the "SimpleMath.h" header.
- BoundingSphere class
- BoundingBox class
- BoundingOrientedBox class
- BoundingFrustum class
- TriangleTests namespace
These were designed to already be similar to the XNA Game Studio math API bounding types.
Note: Currently the BoundingFrustum class is not compatible with Right-Handed coordinates.
Because SimpleMath Is intended to look a lot like like XNA Game Studio's math library, it uses
by convention for the following Matrix methods:
If you want to use left-handed coordinates
, use the DirectXMath methods directly. For example
// Here's a RH example
Vector3 eye, target, up;
Matrix mView = Matrix::CreateLookAt( eye, target, up );
// Here' is a LH example of same thing which relies on
// Vector3 and Matrix conversion operators
Vector3 eye, target, up;
Matrix mView = XMMatrixLookAtLH( eye, target, up );
With the methods Matrix::CreateBillboard and Matrix::CreateConstrainedBillboard the handedness is inherent in the default vectors for
, and objectForward
which are right-handed
. You can make them behave
by providing appropriate vectors.
Vector3 objectPosition, cameraPosition, rotateAxis;
Matrix mView = Matrix::CreateBillboard( objectPosition, cameraPosition, Vector3::Up, Vector3::Backward );
Matrix mView = Matrix::CreateConstrainedBillboard( objectPosition, cameraPosition, rotateAxis, Vector3::Backward, Vector3::Backward );
Windows Store apps
A number of Windows Store samples include a "BasicMath.h" header that includes some very simplistic math types:
It is fairly easy to use SimpleMath in place of BasicMath, but keep in mind that the BasicMath.h header types are actually templates so they are typically used as "Vector2<float>". SimpleMath types are always single-precision float numbers so
do not make use of template syntax.
BasicMath.h also includes typedef aliases for these types to make them use the same naming as HLSL vector types, although the usage syntax and operations are quite different:
If you like the HLSL-like type names, you could use SimpleMath in place of BasicMath.h by adding some simple typedefs.
typedef DirectX::SimpleMath::Vector2 float2;
typedef DirectX::SimpleMath::Vector3 float3;
typedef DirectX::SimpleMath::Vector4 float4;
typedef DirectX::SimpleMath::Matrix float4x4;
Note: The actual operations would look different than the way they would using BasicMath.
XMVECTOR and XMMATRIX
The DirectXMath library is intended as a light-weight wrapper over the underlying SIMD instructions supported by modern CPUs. SIMD stands for 'Single-Instruction-Multiple-Data' and is a specific form of parallelism. The idea is pretty straight-forward:
the registers X and Y contain more than one element (commonly 4 32-bit floating point values) in each. You then do an instruction, such as X * Y, and the output is more than one result (commonly 4 values from X are multiplied with 4 values from Y resulting
in 4 values in the result).
DirectXMath is by design a 'leaky abstraction' in that it exposes the architectural restrictions to the developer. The 'work-horse' types that essentially every DirectXMath function takes as input parameters and produces as results is either
XMVECTOR (4 32-bit floating-point values) or XMMATRIX (a 4x4 matrix of 32-bit floating-point values). These types have a strict requirement of being aligned to 16-byte boundaries in memory. If this restriction is not met, the program will crash with a mis-alignment
exception at runtime.
Using XMVECTOR or XMMATRIX as local variables on the stack or as a global or static variable in memory will automatically respect the alignment requirements, but this is not necessarily true of memory allocated from the 'heap' (i.e. new for C++ programs
or malloc for C programs). It happens that x64 native (64-bit) applications use 16-byte alignment for the heap by default, but this is not true of x86 (32-bit) or ARM applications. As such, using XMVECTOR or XMMATRIX directly in a struct or class allocated
on the heap can be dangerous or at least less trivial than it first appears. There are ways to ensure that heap-allocated memory is always aligned, but generally it's more trouble than it's really worth in practice. There are also subtle ways that
C++ constructs can misalign structures that you thought were properly aligned.
As such, DirectXMath includes a number of memory analogs for XMVECTOR and XMMATRIX, and explicit load & store operations for moving the data into and out of them. This is actually quite efficient, particularly if you are able to move them from memory into
an XMVECTOR or XMMATRIX, then perform a long chain of operations on that data before storing the result back to memory.
One of SimpleMath's primary functions is to hide
the existence of XMVECTOR and XMMATRIX. Instead, you can use Vector3 or Matrix without any alignment requirements, and the C++ compiler will automatically call the required load and store functions.
This makes working with DirectXMath much more forgiving, at the potential cost of extra load and stores taking place 'invisible' to the programmer.
Since this is implemented using C++ conversion operators, you can at any point use a SimpleMath type directly with a DirectXMath function that takes XMVECTOR and/or XMMATRIX. They are also completely equivalent to a standard memory type in the DirectXMath library:
- Vector2 <-> XMFLOAT2, XMVECTOR
- Vector3 <-> XMFLOAT3, XMVECTOR
- Vector4 <-> XMFLOAT4, XMVECTOR
- Quaternion <-> XMFLOAT4, XMVECTOR
- Color <-> XMFLOAT4, XMVECTOR
- Plane <-> XMFLOAT4, XMVECTOR
- Matrix <-> XMFLOAT4X4, XMMATRIX
You can therefore freely mix SimpleMath types with DirectXMath functions at any point.