One-dimensional and small fixed-size containers used throughout AMReX. More...

Classes
class	amrex::GpuArray< T, N >
	Fixed-size array that can be used on GPU. More...
class	amrex::Array1D< T, XLO, XHI >
	A GPU-compatible one-dimensional array. More...
class	amrex::Array2D< T, XLO, XHI, YLO, YHI, ORDER >
	A GPU-compatible two-dimensional array. More...
class	amrex::Array3D< T, XLO, XHI, YLO, YHI, ZLO, ZHI, ORDER >
	A GPU-compatible three-dimensional array. More...
class	amrex::PODVector< T, Allocator >
	Dynamically allocated vector for trivially copyable data. More...
class	amrex::GpuTuple< Ts >
	GPU-compatible tuple. More...

Typedefs
template<class T, std::size_t N>
using	amrex::Array = std::array<T,N>
using	amrex::RealArray = Array<Real, 3>
using	amrex::IntArray = Array<int , 3>
template<class T>
using	amrex::Gpu::DeviceVector = PODVector<T, ArenaAllocator<T> >
	A PODVector that uses the standard memory Arena. Note that the memory might or might not be managed depending on the amrex.the_arena_is_managed ParmParse parameter.
template<class T>
using	amrex::Gpu::NonManagedDeviceVector = PODVector<T, DeviceArenaAllocator<T> >
	A PODVector that uses the non-managed device memory arena.
template<class T>
using	amrex::Gpu::ManagedVector = PODVector<T, ManagedArenaAllocator<T> >
	A PODVector that uses the managed memory arena.
template<class T>
using	amrex::Gpu::PinnedVector = PODVector<T, PinnedArenaAllocator<T> >
	A PODVector that uses the pinned memory arena.
template<class T>
using	amrex::Gpu::AsyncVector = PODVector<T, AsyncArenaAllocator<T> >
	A PODVector that uses the async memory arena. Maybe useful for temporary vectors inside MFIters that are accessed on the device.
template<class T>
using	amrex::Gpu::HostVector = PinnedVector<T>
	A PODVector that uses pinned host memory. Same as PinnedVector. For a vector class that uses std::allocator by default, see amrex::Vector.
template<class T>
using	amrex::Gpu::ManagedDeviceVector = PODVector<T, ManagedArenaAllocator<T> >
	This is identical to ManagedVector<T>. The ManagedDeviceVector form is deprecated and will be removed in a future release.

Detailed Description

One-dimensional and small fixed-size containers used throughout AMReX.

Central types include:

amrex::Vector
amrex::Array
amrex::GpuArray
amrex::GpuTuple
amrex::PODVector
amrex::Gpu::DeviceVector
amrex::Gpu::NonManagedDeviceVector
amrex::Gpu::ManagedVector
amrex::Gpu::ManagedDeviceVector
amrex::Gpu::HostVector
amrex::Gpu::PinnedVector
amrex::Gpu::AsyncVector

Typedef Documentation

◆ Array

template<class T, std::size_t N>

using amrex::Array = std::array<T,N>

An alias to std::array.

◆ AsyncVector

template<class T>

using amrex::Gpu::AsyncVector = PODVector<T, AsyncArenaAllocator<T> >

A PODVector that uses the async memory arena. Maybe useful for temporary vectors inside MFIters that are accessed on the device.

◆ DeviceVector

template<class T>

using amrex::Gpu::DeviceVector = PODVector<T, ArenaAllocator<T> >

A PODVector that uses the standard memory Arena. Note that the memory might or might not be managed depending on the amrex.the_arena_is_managed ParmParse parameter.