- General Info
- Creator Info
- Features
- Technologies Used
- Setup
- Usage
- Screenshots
- Structure
- Project Status
- Room for Improvement
- Acknowledgements
- Contact
A simple program with matplotlib that visualize DiskANN Latency Throughput
.
Nama | NIM | |
---|---|---|
Mohammad Rifqi Farhansyah | 13521166 | 13521166@std.stei.itb.ac.id |
- This program was divided into
3 python source code file
(src). - The data that have been used in this program was located in
data
folder.
- Python 3.9.4
- Matplotlib 3.5.0
Note: The version of the libraries above is the version that we used in this project. You can use the latest version of the libraries.
- Download Python and install it in your personal device
- Install Matplotlib Library in Python
- Open the directory folder
- Choose the visualizing process do you want to execute
- Run the python source code file
│ README.md
│
├───.devcontainer
│ devcontainer.json
│
├───data
│ ├───Percobaan1
│ │ Percobaan1.xlsx
│ │ Thread1.png
│ │ Thread16.png
│ │ Thread2.png
│ │ Thread32.png
│ │ Thread4.png
│ │ Thread64.png
│ │ Thread8.png
│ │
│ ├───Percobaan2
│ │ Percobaan2.xlsx
│ │ Thread1.png
│ │ Thread16.png
│ │ Thread2.png
│ │ Thread32.png
│ │ Thread4.png
│ │ Thread64.png
│ │ Thread8.png
│ │ thread_latency.png
│ │ throughput_latency.png
│ │ throughput_thread.png
│ │
│ ├───Percobaan3
│ │ Percobaan3.xlsx
│ │ Thread1.png
│ │ Thread16.png
│ │ Thread2.png
│ │ Thread32.png
│ │ Thread4.png
│ │ Thread64.png
│ │ Thread8.png
│ │
│ └───Percobaan4
│ Percobaan4.xlsx
│ Thread1.png
│ Thread16.png
│ Thread2.png
│ Thread32.png
│ Thread4.png
│ Thread64.png
│ Thread8.png
│
└───src
thread_latency.py
throughput_latency.py
throughput_thread.py
Project is: complete
Room for Improvement:
- Add more labeling
- Thanks To Allah SWT