Update exercises/exerciseA/README.md
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@ -9,7 +9,7 @@ Objective: investigate speed-up of numpy code with multiple threads.
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The script `heavy_computation.py` performs some matrix calculations with numpy.
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You can change the number of threads that numpy uses for the calculation
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using the `OMP_NUM_THREADS` environment variable like this:
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using the `OMP_NUM_THREADS` environment variable **in the terminal**:
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```
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OMP_NUM_THREADS=7 python heavy_computation.py
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```
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@ -30,8 +30,8 @@ In `plot.py`, we have given code that will load all of the timing data in `timin
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**TASK**: Add code to plot of the execution duration vs. the number of threads
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**TASK**: Open a Pull Request with your plotting code and post your plots in the
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conversation. Don't upload binaries to the Git remote!
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**TASK**: Open a Pull Request with your plotting code *and* post your plots as
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a comment in the PR. Don't commit pictures!
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**OPTIONAL TASK**: Add code to calculate and plot the speed-up time compared
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to single-threaded execution. Include your code and plot in the PR.
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