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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:

    $ git clone https://github.com/Steffo99/unimore-hpc-assignments
    
  2. Checkout the exact commit the tests were executed on:

    $ git checkout d13a9b786a53d5195ae17ef7afa776e2600ce8e0
    
  3. Access our group's assigned folder:

    $ cd unimore-hpc-assignments/atax
    
  4. Run the benchmarking script:

    $ make bench