1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
|
/*
* Copyright 2008-2009 NVIDIA Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include <thrust/device_ptr.h>
namespace cusp
{
namespace detail
{
namespace device
{
// COO format SpMV kernel that uses only one thread
// This is incredibly slow, so it is only useful for testing purposes,
// *extremely* small matrices, or a few elements at the end of a
// larger matrix
template <typename IndexType, typename ValueType>
__global__ void
spmv_coo_serial_kernel(const IndexType num_entries,
const IndexType * I,
const IndexType * J,
const ValueType * V,
const ValueType * x,
ValueType * y)
{
for(IndexType n = 0; n < num_entries; n++)
{
y[I[n]] += V[n] * x[J[n]];
}
}
template <typename Matrix,
typename ValueType>
void spmv_coo_serial_device(const Matrix& A,
const ValueType* x,
ValueType* y)
{
typedef typename Matrix::index_type IndexType;
const IndexType * I = thrust::raw_pointer_cast(&A.row_indices[0]);
const IndexType * J = thrust::raw_pointer_cast(&A.column_indices[0]);
const ValueType * V = thrust::raw_pointer_cast(&A.values[0]);
spmv_coo_serial_kernel<IndexType,ValueType> <<<1,1>>>
(A.num_entries, I, J, V, x, y);
}
} // end namespace device
} // end namespace detail
} // end namespace cusp
|
