Update exercises/exerciseA/README.md

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Aitor Morales-Gregorio 2025-09-25 17:25:42 +02:00
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@ -9,7 +9,7 @@ Objective: investigate speed-up of numpy code with multiple threads.
The script `heavy_computation.py` performs some matrix calculations with numpy. The script `heavy_computation.py` performs some matrix calculations with numpy.
You can change the number of threads that numpy uses for the calculation You can change the number of threads that numpy uses for the calculation
using the `OMP_NUM_THREADS` environment variable like this: using the `OMP_NUM_THREADS` environment variable **in the terminal**:
``` ```
OMP_NUM_THREADS=7 python heavy_computation.py OMP_NUM_THREADS=7 python heavy_computation.py
``` ```
@ -30,8 +30,8 @@ In `plot.py`, we have given code that will load all of the timing data in `timin
**TASK**: Add code to plot of the execution duration vs. the number of threads **TASK**: Add code to plot of the execution duration vs. the number of threads
**TASK**: Open a Pull Request with your plotting code and post your plots in the **TASK**: Open a Pull Request with your plotting code *and* post your plots as
conversation. Don't upload binaries to the Git remote! a comment in the PR. Don't commit pictures!
**OPTIONAL TASK**: Add code to calculate and plot the speed-up time compared **OPTIONAL TASK**: Add code to calculate and plot the speed-up time compared
to single-threaded execution. Include your code and plot in the PR. to single-threaded execution. Include your code and plot in the PR.