Added QEMU BBVs workflow and SimPoint analysis under traces

[aditi75432]

Summary

This PR introduces a containerized, unified workflow for running various benchmarks on QEMU and performing SimPoint-based phase analysis. It provides a complete, plug-and-play setup to generate Basic Block Vectors (BBVs) and identify representative simulation points using clustering techniques.

What's Included

Multi-workload Support

• dhrystone (SiFive clone)
• embench (IoT benchmark suite)
• Custom workloads via user path input

Core Features

• QEMU plugin-based BBV generation
• SimPoint clustering for program phase detection
• Configurable compiler flags, intervals, architectures

Containerized Build

• Fully Dockerized environment
• Cross-platform compatibility (Linux, macOS, Windows via WSL2)

Modular Scripts

• build_and_run.sh: End-to-end execution
• run_workload.sh: Manual run configuration
• setup_workload.sh: Benchmark setup
• build_docker.sh: Docker image creation

Results Structure

• BBV files, SimPoint clusters, and weight vectors saved in simpoint_output/

Configurable Workload Settings

• Central workload_config.json for parameter tuning

Developer Experience Enhancements

• VS Code Remote Development setup
• Integrated WSL and container support
• Easy debugging and performance tuning
• Example batch analysis and advanced usage patterns

Documentation

A detailed README.md is included, covering:

• Setup for Windows/macOS/Linux
• Usage examples
• Troubleshooting and verification
• Contribution instructions
• Configuration options

Use Case

This contribution is intended for developers and researchers needing:

• QEMU-based simulation
• SimPoint-driven workload sampling
• Benchmarking and architecture exploration
• Integration-ready tools in a clean, reproducible environment

Contributor

Contributed by Aditi Mehta to enhance the benchmark tooling ecosystem with a robust and modular SimPoint analysis pipeline.