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56 lines
2.6 KiB
Markdown
56 lines
2.6 KiB
Markdown
# rocSOLVER Performance Scripts
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`rocSOLVER/scripts/perf` includes scripts to benchmark rocSOLVER functions and collects the results for analysis and display.
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## Building rocSOLVER for Benchmarking
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To prepare rocSOLVER for benchmarking, follow the instructions from [rocSOLVER API documentation](https://rocm.docs.amd.com/projects/rocSOLVER/en/latest/installation/installlinux.html#install-linux) to build and install the library and its clients.
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## Benchmarking rocSOLVER with `perfoptim-suite`
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The `perfoptim-suite` script executes the specified rocSOLVER functions, precision, and size cases. The results are written to csv files which are saved in the `rocsolver_customer01_benchmarks` directory.
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Calling the script without any arguments
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```
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./perfoptim-suite
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```
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runs the default configuration which executes all available functions with real double precision and all the size cases.
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Options can be passed to the script as arguments to modify its behaviour. The available options are:
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```
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benchmark to run
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valid options are: (default will run all of them)
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syevd -> eigensolver D&C + QR algorithm (heevd in complex precision)
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syevdx -> eigensolver D&C + bisection (heevdx in complex precision)
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syevj -> eigensolver Jacobi (heevj in complex precision)
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syevjBatch -> eigensolver Jacobi batch version (heevjBatch in complex precision)
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gesvd -> SVD QR algorithm
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gesvdj -> SVD Jacobi
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gesvdjBatch -> SVD Jacobi batch version
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potrf -> Cholesky factorization
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potrfBatch -> Cholesky factorization batch version
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geqrf -> Orthogonal factorization
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(note: several can be selected)
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precisions to use
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valid options are: (default is d)
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s -> real single precision
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d -> real double precision
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c -> complex single precision
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z -> complex double precision
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(note: several can be selected)
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size cases to run
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valid options are: (default is large)
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small -> see definitions in rocsolver-perfoptim-suite.py for included size values
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medium -> see definitions in rocsolver-perfoptim-suite.py for included size values
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large -> see definitions in rocsolver-perfoptim-suite.py for included size values
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(note: select only one as small is a sub-set of medium which is a sub-set of large)
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```
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For example, benchmarking `geqrf` with real single and real double precisions on the medium and small size cases would look like this:
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```
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./perfoptim-suite geqrf s d medium
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```
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After completion, the results of the benchmark will have been written to `rocsolver_customer01_benchmarks/sgeqrf_benchmarks.csv` and `rocsolver_customer01_benchmarks/dgeqrf_benchmarks.csv` for the real single precision case and the real double precision case, respectively.
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