TasGrid::GpuEngine Struct Reference

Wrapper class around calls GPU accelerated linear algebra libraries. More...

#include <tsgAcceleratedDataStructures.hpp>

Public Member Functions
void	setCuBlasHandle (void *handle)
	Manually sets the cuBlas handle, handle must be a valid cublasHandle_t associated with this CUDA device.
void	setCuSparseHandle (void *handle)
	Manually sets the cuSparse handle, handle must be a valid cusparseHandle_t associated with this CUDA device.
void	setCuSolverDnHandle (void *handle)
	Manually sets the cuSparse handle, handle must be a valid cusolverDnHandle_t associated with this CUDA device.

Public Attributes
std::unique_ptr< int, HandleDeleter< AccHandle::Cublas > >	cublas_handle
	Holds the cuBlas handle.
std::unique_ptr< int, HandleDeleter< AccHandle::Cusparse > >	cusparse_handle
	Holds the cuSparse handle.
std::unique_ptr< int, HandleDeleter< AccHandle::Cusolver > >	cusolver_handle
	Holds the cuSolver handle.
std::unique_ptr< int >	called_magma_init
	Avoids an empty engine when no acceleration is enabled, allows for default constructor/move/copy, skips extraneous calls to MAGMA init.

Detailed Description

Wrapper class around calls GPU accelerated linear algebra libraries.

The class also manages the required handles and queues and holds the context of the active GPU device.

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The documentation for this struct was generated from the following file:

• SparseGrids/tsgAcceleratedDataStructures.hpp