Newer
Older
Damian Podareanu
committed
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
=======
README
=======
# 1. Code sample name
gemm
# 2. Description of the code sample package
This example demonstrates the use of NVIDIA's linear algebra library for CUDA: cuBLAS. The example is set-up to perform the a batch matrix multiplication.
Additional pre-requisites:
* CUDA (includes the cuBLAS library)
See http://docs.nvidia.com/cuda/cublas for the full cuBLAS documentation.
# 3. Release date
5q Dec 2016
# 4. Version history
1.0
# 5. Contributor (s) / Maintainer(s)
Damian Podareanu <damian.podareanu@surfsara.nl>
# 6. Copyright / License of the code sample
Apache 2.0
# 7. Language(s)
C++
CUDA
# 8. Parallelisation Implementation(s)
GPU
# 9. Level of the code sample complexity
Basic level, uses library calls only
# 10. Instructions on how to compile the code
Uses the CodeVault CMake infrastructure, see main README.md
# 11. Instructions on how to run the code
Run the executable with a single command-line option, the matrix size
# 12. Sample input(s)
Input-data is generated automatically when running the program.