2.0 KiB
2.0 KiB
Interactive Dashboard
A comprehensive Streamlit dashboard for exploring space-time tradeoffs in computing systems.
Features
1. Overview Page
- Visualizes Williams' theoretical bound: TIME[t] ⊆ SPACE[√(t log t)]
- Shows the fundamental space-time tradeoff curve
- Compares theoretical vs practical bounds
2. Theoretical Explorer
- Interactive parameter adjustment
- Real-time visualization of space requirements for given time bounds
- Constant factor analysis
3. Experimental Results
- Maze Solver: BFS vs memory-limited algorithms
- Sorting: In-memory vs checkpointed sorting
- Streaming: Sliding window performance
- Summary of all experimental findings
4. Real-World Systems
- Databases: Query optimization and join algorithms
- LLMs: Memory optimization techniques
- Distributed Computing: MapReduce and shuffle optimization
5. Tradeoff Calculator
- Input your system parameters
- Get recommendations for optimal configurations
- Compare different strategies
6. Interactive Demos
- Sorting visualizer
- Cache hierarchy simulator
- Live demonstrations of space-time tradeoffs
Running the Dashboard
Option 1: Using the launcher script
cd dashboard
python run_dashboard.py
Option 2: Direct streamlit command
cd dashboard
pip install -r requirements.txt
streamlit run app.py
The dashboard will open in your default browser at http://localhost:8501
Technology Stack
- Streamlit: Interactive web framework
- Plotly: Advanced interactive visualizations
- Pandas: Data manipulation
- NumPy: Numerical computations
Customization
The dashboard is fully customizable:
- Add new visualizations to
app.py - Modify color schemes in the CSS section
- Add new pages in the sidebar navigation
- Import real experimental data to replace simulated data
Screenshots
The dashboard includes:
- Dark theme optimized for data visualization
- Responsive layout for different screen sizes
- Interactive controls for exploring parameters
- Real-time updates as you adjust settings