add configuration and compilation instructions; properly indent a function in example01

README.md

@@ -1,5 +1,22 @@
 # OpenCL basic examples
-here is my feeble attempt at learning OpenCL, please don't make fun of me too much :hamburger
+here is my feeble attempt at learning OpenCL, please don't make fun of me too much :hamburger:
+
+## Configuration
+This currently runs on OS X, and I'm using local header files instead of global header files because I'm unfamiliar with C++. Deal with it. Run the following in a terminal to set up:
+
+```
+git clone git@github.com:SaintDako/OpenCL-examples.git
+mkdir CL
+curl https://www.khronos.org/registry/cl/api/1.2/cl.hpp -o CL/cl.hpp
+```
+
+## Compiling
+
+```
+clang++ -std=c++0x -framework OpenCL example01.cpp -o example01.out
+```
+
+To ignore the deprecation warnings, add the flag `-Wno-deprecated-declarations`.
 
 ## example 00
 this example is based off of [this example](simpleopencl.blogspot.ca/2013/06/tutorial-simple-start-with-opencl-and-c.html) (example-ception), but it goes a bit further. In the blogspot example, two 10-element vectors are created and a thread is used for each pair of elements. In this example, 10 threads are spawned but two 100-element vectors are used, and it is shown how to split up a specific number of elements per thread.

example01.cpp

@@ -3,16 +3,16 @@
 #include <ctime>
 
 
-    void compareResults (double CPUtime, double GPUtime, int trial) {
-        double time_ratio = (CPUtime / GPUtime);
-        std::cout << "VERSION "   << trial   << " -----------" << std::endl;
-        std::cout << "CPU time: " << CPUtime << std::endl;
-        std::cout << "GPU time: " << GPUtime << std::endl;
-        std::cout << "GPU is ";
-        if (time_ratio > 1)
-            std::cout << time_ratio << " times faster!" << std::endl;
-        else
-            std::cout << (1/time_ratio) << " times slower :(" << std::endl;
+void compareResults (double CPUtime, double GPUtime, int trial) {
+    double time_ratio = (CPUtime / GPUtime);
+    std::cout << "VERSION "   << trial   << " -----------" << std::endl;
+    std::cout << "CPU time: " << CPUtime << std::endl;
+    std::cout << "GPU time: " << GPUtime << std::endl;
+    std::cout << "GPU is ";
+    if (time_ratio > 1)
+        std::cout << time_ratio << " times faster!" << std::endl;
+    else
+        std::cout << (1/time_ratio) << " times slower :(" << std::endl;
 }
 
 
@@ -39,6 +39,7 @@ double timeAddVectorsCPU(int n, int k) {
     return duration;
 }
 
+
 int main() {
     // get all platforms (drivers), e.g. NVIDIA
     std::vector<cl::Platform> all_platforms;
@@ -66,9 +67,6 @@ int main() {
     cl::Context context({default_device});
     cl::Program::Sources sources;
 
-    std::cout << CL_DEVICE_MAX_WORK_ITEM_SIZES << std::endl;
-    exit(1);
-
     // calculates for each element; C = A + B
     std::string kernel_code=
         //  is equivalent to the host's "time_add_vectors" function, except the