update README

Author: sheralskumar

README.md

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+# Simple GPU Benchmarking Project
+
+A GPU benchmarking project using **OpenCL** and **C++** with **Python** automation.  
+Demonstrates low-level GPU programming, kernel execution, and automation for performance testing.
+
+## Requirements
+
+- **C++ compiler** supporting C++17 (MSVC, GCC, Clang)
+- **CMake** ≥ 3.10
+- **OpenCL SDK** (AMD, NVIDIA, Intel, or generic)
+- **Python** 3.x (for automation scripts)
+- **Windows** 11
+
+## Building and Running
+
+### 1. Build the C++ Benchmark
+
+Open a terminal in the project root. Create and navigate to the build directory:
+
+```bash
+mkdir build
+cd build
+```
+### 2. Configure the project with CMake:
+
+```bash 
+cmake ..
+```
+### 3. Build the executable:
+```bash
+cmake --build .
+```
+
+The executable will be created in `build/` as `benchmark.exe`.
+
+### 4. Running
+#### From Terminal:
+```bash
+./build/benchmark [device_index] [vector_size]
+```
+
+
+- `device_index` (optional, default 0): GPU device to use
+
+- `vector_size` (optional, default 2^26): Number of elements in the vectors
+
+Example:
+
+```bash
+./build/benchmark 0 8192
+```
+
+#### From Python Automation Script:
+
+Navigate to the automation/ folder. Run the script:
+
+```bash
+python run_benchmarks.py
+```
+
+Results saved to `automation\benchmark_results.csv`