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hpc-2022-g3/README.md
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# High Performance Computing Class
This repo contains the exercises and the tutorials used for Unimore's HPC class
## Contacts
- **Prof. Andrea Marongiu** <[andrea.marongiu@unimore.it](mailto:andrea.marongiu@unimore.it)>
- **Prof. Alessandro Capotondi** <[alessandro.capotondi@unimore.it](mailto:alessandro.capotondi@unimore.it)>
- **Gianluca Brilli** <[gianluca.brilli@unimore.it](mailto:gianluca.brilli@unimore.it)>
## Contents
### OpenMP Exercises
The exercises related to OpenMP programming model can be found in the folder `openmp`. Here the list of currectly available classes:
- `openmp\lab1`: OpenMP basics: *parallel*, *for-loop*, *sections*, and *tasking*
- `openmp\lab2`: OpenMP Advanced: *reduction*, *tasking*, *optimizations*
- `openmp\lab3`: OpenMP 4.x+: *Accelerator Model (targeting: Nvidia GP-GPU)*
### CUDA Exercises
- `cuda\lab1`: CUDA Basics
- `cuda\lab2`: CUDA Memory Model
- `cuda\lab3`: CUDA Advanced Host Management
- `cuda\appendix`: CUDA Nsight Tutorial
### HLS Exercises
- `hls\lab1`: HLS Basics and hardware optimizations: Pipelining, Loop Fusion, Loop Unrolling and Array Partitioning
- `hls\lab2`: Tests on real development boards
### (Optional)
- `challenge`: Parallelize the code with everything you learned and submit the result before *XXX*