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hpc-2022-g3/README.md
2022-12-06 09:37:18 -05:00

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\[ **Stefano Pigozzi** + **Caterina Gazzotti** + **Fabio Zanichelli** | Topic OpenMP | High Performance Computing Laboratory | Unimore \]
# C code optimization using NVIDIA CUDA
> ### Assignment #2
>
> Every team is called to optimize (parallellize) the execution time of the assigned applications on multi-processor system.
>
> #### Expected outcomes
>
> * Repository of the code (github/gitlab is ok, or .zip )
> * Oral presentation (5 min + 5 min Q&A) of your work
>
> #### Assigned application
>
> Group 3: `OpenMP/linear-algebra/kernels/atax`
## Results
Results can be read in the ex.txt file where we stored all the
experiments done.
### Validation
* Compiler used: **nvcc**
* Device used: `JETSON NANO DEVELOPER KIT`
* Built on: Mon_Mar_11_22:13:24_CDT_2019 Cuda compilation tools, release 10.0, V10.0.326
To reproduce the obtained results:
1. Clone the repository on @Steffo99's computer:
```console
$ git clone https://github.com/Steffo99/unimore-hpc-assignments
```
2. Checkout the exact commit the tests were executed on:
```console
$ git checkout d13a9b786a53d5195ae17ef7afa776e2600ce8e0
```
3. Access our group's assigned folder:
```console
$ cd unimore-hpc-assignments/atax
```
4. Run the benchmarking script:
```console
$ make bench
```