automate workflow with github actions

Author: sheralskumar

.github/workflows/benchmark.yml

@@ -0,0 +1,46 @@
+name: Windows CPU OpenCL Benchmark
+
+on:
+  workflow_dispatch:
+  push:
+    branches: [ main ]
+
+jobs:
+  benchmark:
+    runs-on: windows-latest
+
+    steps:
+    - name: Checkout Repository
+      uses: actions/checkout@v4
+
+    # ---- Install OpenCL CPU runtime and build tools ----
+    - name: Install OpenCL SDK and CMake
+      run: |
+        choco install opencl-sdk -y
+        choco install cmake --installargs 'ADD_CMAKE_TO_PATH=System' -y
+
+    - name: Install Python dependencies
+      run: |
+        pip install --upgrade pip
+        pip install pyopencl numpy pandas matplotlib
+
+    # ---- Configure and build the C++ project ----
+    - name: Configure project (CMake with MSVC)
+      run: |
+        cmake -S . -B build -G "Visual Studio 17 2022" -A x64
+
+    - name: Build Release
+      run: |
+        cmake --build build --config Release
+
+    # ---- Run your Python benchmark automation ----
+    - name: Run Benchmark Script
+      run: |
+        python automation/benchmark.py 0
+
+    # ---- Upload benchmark results ----
+    - name: Upload Results
+      uses: actions/upload-artifact@v4
+      with:
+        name: windows-cpu-opencl-results
+        path: automation/

CMakeLists.txt

@@ -1,15 +1,16 @@
 cmake_minimum_required(VERSION 3.10)
 project(opencl_bench)
 
-set(CMAKE_CXX_STANDARD 17)      # Use C++17
+set(CMAKE_CXX_STANDARD 17)
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
 
-set(OpenCL_INCLUDE_DIR "")
-set(OpenCL_LIBRARY "")
-
-
-include_directories(${OpenCL_INCLUDE_DIR})
+# Let CMake find OpenCL automatically
+find_package(OpenCL REQUIRED)
 
 add_executable(benchmark src/benchmark.cpp)
 
-target_link_libraries(benchmark ${OpenCL_LIBRARY})
+# Include OpenCL headers
+target_include_directories(benchmark PRIVATE ${OpenCL_INCLUDE_DIRS})
+
+# Link OpenCL library
+target_link_libraries(benchmark PRIVATE ${OpenCL_LIBRARIES})

automation/run_benchmarks.py

@@ -6,17 +6,24 @@
 import pyopencl as cl
 import matplotlib.pyplot as plt
 import pandas as pd
+import platform
 
 # Define path to the benchmark executable
 SCRIPT_DIR = Path(__file__).parent.parent
-BENCHMARK_EXECUTABLE = SCRIPT_DIR / "build" / "benchmark.exe"
 SAVE_DIR = SCRIPT_DIR / "automation" / "benchmark_results.csv"
 
+if platform.system() == "Windows":
+    BENCHMARK_EXECUTABLE = SCRIPT_DIR / "build" / "benchmark.exe"
+    if not BENCHMARK_EXECUTABLE.exists():
+        BENCHMARK_EXECUTABLE = SCRIPT_DIR / "build" / "Release" / "benchmark.exe"
+else:
+    BENCHMARK_EXECUTABLE = SCRIPT_DIR / "build" / "benchmark"
+
 
 # Automatically detect all GPU devices
 def get_gpu_devices():
     platforms = cl.get_platforms()
-    devices = [dev for p in platforms for dev in p.get_devices(device_type=cl.device_type.GPU)]
+    devices = [dev for p in platforms for dev in p.get_devices(device_type=cl.device_type.ALL)]
 
     for i, dev in enumerate(devices):
         print(f"{i}: {dev.name}")