mirror of
https://github.com/Steffo99/unimore-hpc-assignments.git
synced 2024-11-22 16:14:24 +00:00
29 lines
1.4 KiB
Markdown
29 lines
1.4 KiB
Markdown
# High Performance Computing Class
|
|
|
|
This repo contains the exercises and the tutorials used for Unimore's HPC class [https://dolly.fim.unimore.it/2020/course/view.php?id=145](https://dolly.fim.unimore.it/2020/course/view.php?id=145).
|
|
|
|
## Contacts
|
|
- **Alessandro Capotondi** <[alessandro.capotondi@unimore.it](mailto:alessandro.capotondi@unimore.it)>
|
|
- **Gianluca Brilli** <[gianluca.brilli@unimore.it](mailto:gianluca.brilli@unimore.it)>
|
|
- **Prof. Andrea Marongiu** <[andrea.marongiu@unimore.it](mailto:andrea.marongiu@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 *21 May 2021*
|