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| Linia 13: | Linia 13: | ||
the result of normalization is : | the result of normalization is : | ||
| − | + | [ 0.3162 0.4472 ] | |
| − | + | [ 0.9487 0.8944 ] | |
| + | |||
| + | That is: 0.3162 * 0.3162 + 0.9487 * 0.9487 = 1 and of course, 0.3162 / 0.9487 is kept as 1 / 3 ratio | ||
| + | That is: 0.4472 * 0.4472 + 0.8944 * 0.8944 = 1 and of course, 0.4472 / 0.8944 is kept as 2 / 4 ratio | ||
# Install opencl drivers for your platform | # Install opencl drivers for your platform | ||
# Check what opencl-capable devices with command '''clinfo''' | # Check what opencl-capable devices with command '''clinfo''' | ||
# Run the VectorAddOpenCL app [[http://wiki.dcae.pub.ro/images/4/4a/VectorAddOpenCL.cpp]] to see that all works ok | # Run the VectorAddOpenCL app [[http://wiki.dcae.pub.ro/images/4/4a/VectorAddOpenCL.cpp]] to see that all works ok | ||
| − | # Implement the normalization operation | + | # Implement the normalization operation across 1 OpenCL thread of a single device |
| + | # Implement the normalization operation across multiple OpenCL threads of the same device | ||
Versiunea de la data 26 aprilie 2018 15:19
Session 6
Task: run matrix-column normalization using OpenCL (https://www.khronos.org/opencl)
Matrix-column normalization means that, at the end of the process, every sum of squared elements on the same column is 1.
Example: Assuming matrix is
[ 1, 2 ] [ 3, 4 ]
the result of normalization is :
[ 0.3162 0.4472 ] [ 0.9487 0.8944 ]
That is: 0.3162 * 0.3162 + 0.9487 * 0.9487 = 1 and of course, 0.3162 / 0.9487 is kept as 1 / 3 ratio That is: 0.4472 * 0.4472 + 0.8944 * 0.8944 = 1 and of course, 0.4472 / 0.8944 is kept as 2 / 4 ratio
- Install opencl drivers for your platform
- Check what opencl-capable devices with command clinfo
- Run the VectorAddOpenCL app [[1]] to see that all works ok
- Implement the normalization operation across 1 OpenCL thread of a single device
- Implement the normalization operation across multiple OpenCL threads of the same device
Points (out of 10) vs. expected performance:
[[]]
