docs (README): Updated with instructions on how to build & run

Author: s3cur3

README.md

@@ -1,2 +1,27 @@
 # llvm-data-structure-benchmarks
+
 A benchmark for cache efficient data structures.
+
+Full writeup (explaining the data structures being examined, as well as a discussion of the results) can be [found on my blog](https://tylerayoung.com/?p=1277).
+
+## Compiling & running the easy way
+
+`scripts` contains a Python script that can automate the entire process of building, running, and graphing the output. To use it, you'll need to (once) set up a Python virtual environment like so:
+
+1. `$ cd <path to repo>/scripts`
+2. `$ virtualenv env -p python3`
+3. `$ env/bin/pip3 install -r package_requirements.txt`
+
+Then, run the script via:
+`$ env/bin/python3 benchmark_and_graph.py`
+
+After the program churns for a few minutes, you'll get a new `graphs` directory full of PNGs.
+
+## Compiling & running the hard way
+
+1. `$ cmake CMakeLists.txt`
+2. `$ make`
+3. `./data_structure_benchmarks > my_output_file.txt`
+4. Set up a Python virtual environment in your `scripts` directory as above
+5. `$ cd scripts`
+6. `$ env/bin/python3 graph_results.py --file my_output_file.txt [--min-elements=N] [--max-elements=M]`