factor_band_var.cuh File Reference

#include <cuda.h>
#include <spike/common.h>

Namespaces
	spike::device
	spike::device contains all CUDA kernels.
	spike::device::var
	spike::device::var contains all CUDA kernels for the variable bandwidth preconditioner.
	spike
	spike is the top-level namespace which contains all Spike functions and types.

Macros
#define	FACTOR_BAND_VAR_H

Functions
template<typename T >
__global__ void	spike::device::var::bandLU (T *dA, int *ks, int *offsets, int partition_size, int rest_num)
template<typename T >
__global__ void	spike::device::var::bandLU_safe (T *dA, int *ks, int *offsets, int partition_size, int rest_num)
template<typename T >
__global__ void	spike::device::var::bandLU_g32 (T *dA, int *ks, int *offsets, int partition_size, int rest_num)
template<typename T >
__global__ void	spike::device::var::bandLU_g32_safe (T *dA, int *ks, int *offsets, int partition_size, int rest_num)
template<typename T >
__global__ void	spike::device::var::bandLU_critical_div_general (T *dA, int start_row, int *ks, int *offsets, int partition_size, int rest_num)
template<typename T >
__global__ void	spike::device::var::bandLU_critical_div_safe_general (T *dA, int start_row, int *ks, int *offsets, int partition_size, int rest_num)
template<typename T >
__global__ void	spike::device::var::bandLU_critical_sub_general (T *dA, int start_row, int *ks, int *offsets, int partition_size, int rest_num, int last)
template<typename T >
__global__ void	spike::device::var::bandLU_post_divide_per_partition (T *dA, int k, int offset, int partSize)
template<typename T >
__global__ void	spike::device::var::bandLU_post_divide_per_partition_general (T *dA, int k, int offset, int partSize)
template<typename T >
__global__ void	spike::device::var::fullLU_div (T *dA, int *ks, int *offsets, int cur_row)
template<typename T >
__global__ void	spike::device::var::fullLU_div_safe (T *dA, int *ks, int *offsets, int cur_row)
template<typename T >
__global__ void	spike::device::var::fullLU_div_general (T *dA, int *ks, int *offsets, int cur_row)
template<typename T >
__global__ void	spike::device::var::fullLU_div_safe_general (T *dA, int *ks, int *offsets, int cur_row)
template<typename T >
__global__ void	spike::device::var::fullLU_sub (T *dA, int *ks, int *offsets, int cur_row)
template<typename T >
__global__ void	spike::device::var::fullLU_sub_general (T *dA, int *ks, int *offsets, int cur_row)
template<typename T >
__global__ void	spike::device::var::fullLU_sub_spec (T *dA, int *ks, int *offsets)
template<typename T >
__global__ void	spike::device::var::fullLU_sub_spec_general (T *dA, int *ks, int *offsets)
template<typename T >
__global__ void	spike::device::var::fullLU_post_divide (T *dA, int *ks, int *offsets)
template<typename T >
__global__ void	spike::device::var::fullLU_post_divide_general (T *dA, int *ks, int *offsets)
template<typename T >
__global__ void	spike::device::var::boostLastPivot (T *dA, int start_row, int *ks, int *offsets, int partition_size, int rest_num)

Detailed Description

Various matrix factorization CUDA kernels used for the case of partitions with equal bandwidths.

Various matrix factorization CUDA kernels used for the case of partitions with varying bandwidths.

Various forward/backward sweep CUDA kernels used for the case of partitions with varying bandwidths.

Macro Definition Documentation

#define FACTOR_BAND_VAR_H