Add System requirement and Project setup sections in README

Author: Atry

README.md

@@ -1,6 +1,6 @@
 # Compute.scala
 
-**Compute.scala** is a Scala library for scientific computing on N-dimensional arrays in parallel on GPU, CPU and other devices. It will be the primary back-end of the incoming [DeepLearning.scala](http://deeplearning.thoughtworks.school/) 3.0, to address performance problems we encountered in DeepLearning.scala 2.0 with [nd4j](http://nd4j.org/).
+**Compute.scala** is a Scala library for scientific computing with N-dimensional arrays in parallel on GPU, CPU and other devices. It will be the primary back-end of the incoming [DeepLearning.scala](http://deeplearning.thoughtworks.school/) 3.0, to address performance problems we encountered in DeepLearning.scala 2.0 with [nd4j](http://nd4j.org/).
 
  * Compute.scala can dynamically merge multiple operators into one kernel program, which runs significantly faster when performing complex computation.
  * Compute.scala manages memory and other native resource in a determinate approach, consuming less memory.
@@ -9,13 +9,52 @@
 
 ## Getting started
 
-TODO:
+### System Requirements
+
+Compute.scala is based on [LWJGL 3](https://www.lwjgl.org/)'s OpenCL binding, which supports AMD, NVIDIA and Intel's GPU and CPU on Linux, Windows and macOS.
+
+Make sure you have met the following system requirements before using Compute.scala.
+
+ * Linux, Windows or macOS
+ * JDK 8
+ * OpenCL runtime
+
+The performance of Compute.scala varies according to which OpenCL runtime you are using. For best performance, install OpenCL runtime according to the following table.
+
+| | Linux  | Windows | macOS |
+| --- | --- | --- | --- |
+| NVIDIA GPU  | [NVIDIA GPU Driver](http://www.nvidia.com/drivers) | [NVIDIA GPU Driver](http://www.nvidia.com/drivers) | macOS's built-in OpenCL SDK |
+| AMD GPU | [AMDGPU-PRO Driver](https://support.amd.com/en-us/kb-articles/Pages/AMDGPU-PRO-Driver-for-Linux-Release-Notes.aspx) | [AMD OpenCL™ 2.0 Driver](https://support.amd.com/en-us/kb-articles/Pages/OpenCL2-Driver.aspx) | macOS's built-in OpenCL SDK |
+| Intel or AMD CPU | [POCL](http://portablecl.org/) | [POCL](http://portablecl.org/) | [POCL](http://portablecl.org/) |
+
+Especially, Compute.scala produces non-vectorized code, which needs POCL's auto-vectorization feature for best performance when running on CPU.
+
+### Project setup
+
+The artifacts of Compute.scala is published on Maven central repository for Scala 2.11 and 2.12. Add the following settings to your `build.sbt` if you are using [sbt](https://www.scala-sbt.org/).
+
+``` sbt
+libraryDependencies += "com.thoughtworks.compute" %% "cpu" % "latest.release"
+libraryDependencies += "com.thoughtworks.compute" %% "gpu" % "latest.release"
+
+// Platform dependent runtime of LWJGL core library
+libraryDependencies += ("org.lwjgl" % "lwjgl" % "latest.release" % Runtime).jar().classifier {
+  import scala.util.Properties._
+  if (isMac) {
+    "natives-macos"
+  } else if (isLinux) {
+    "natives-linux"
+  } else if (isWin) {
+    "natives-windows"
+  } else {
+    throw new MessageOnlyException(s"lwjgl does not support $osName")
+  }
+}
+```
+
+Check [Compute.scala on Scaladex](https://index.scala-lang.org/thoughtworksinc/compute.scala) and [LWJGL customize tool](https://www.lwjgl.org/customize) for settings for other build tools.
 
 ## Benchmark
 
  * [Compute.scala vs Nd4j on NVIDIA GPU](http://jmh.morethan.io/?source=https://thoughtworksinc.github.io/Compute.scala/benchmarks/nvidia-gpu.json)
  * [Compute.scala on AMD GPU](http://jmh.morethan.io/?source=https://thoughtworksinc.github.io/Compute.scala/benchmarks/amd-gpu.json)
-
-## Supported platforms
-
-Compute.scala is based on OpenCL, supporting AMD, NVIDIA and Intel's GPU and CPU on Linux, Windows and macOS.