Add quick start install guide and fix spelling errors in other files

docs/conceptual/how-omnitrace-works.rst

@@ -188,7 +188,7 @@ collect the required information and, thus, has the potential to cause performan
 changes which may, in some cases, lead to inaccurate results. The effect depends on 
 what information being collected and which features are activated in Omnitrace. 
 For example, collecting only the wall-clock timing data
-will have less effect than collected the wall-clock timing, cpu-clock timing, 
+will have less effect than collected the wall-clock timing, CPU-clock timing, 
 memory usage, cache-misses, and number of instructions executed. Similarly, 
 collecting a flat profile will have less overhead than a hierarchical profile 
 and collecting a trace OR a profile will have less overhead than collecting a 
@@ -223,7 +223,7 @@ Binary instrumentation vs. statistical sampling example
 
 Consider the following code:
 
-.. code:: cpp
+.. code:: c++
 
    long fib(long n)
    {

docs/conceptual/omnitrace-feature-set.rst

@@ -115,15 +115,15 @@ runtime of your application. In other words, it does not matter
 how fast or slow the code on GPU is if the application has a  
 bottleneck on waiting on the GPU.
 
-Use OmniTrace to obtain a high-level view of the entire application. Use it 
+Use Omnitrace to obtain a high-level view of the entire application. Use it 
 to determine where the performance bottlenecks are and
 obtain clues to why these bottlenecks are happening. If you want extensive 
 insight into the execution of individual kernels
 on the GPU, AMD Research is working on another tool for this but you should 
 start with the tool which characterizes the
-broad picture: OmniTrace.
+broad picture: Omnitrace.
 
-With regard to the CPU, OmniTrace does not target any specific vendor, 
+With regard to the CPU, Omnitrace does not target any specific vendor, 
 it works just as well with non-AMD CPUs as with AMD CPUs.
-With regard to the GPU, OmniTrace is currently restricted to the HIP and HSA APIs 
+With regard to the GPU, Omnitrace is currently restricted to the HIP and HSA APIs 
 and kernels executing on AMD GPUs.

docs/install/quick-start.rst

@@ -0,0 +1,48 @@
+.. meta::
+   :description: Omnitrace documentation and reference
+   :keywords: Omnitrace, ROCm, profiler, tracking, visualization, tool, Instinct, accelerator, AMD
+
+*************************************
+Omnitrace quick start installation
+*************************************
+
+To install Omnitrace, download the `Omnitrace installer <https://github.com/ROCm/omnitrace/releases/latest/download/omnitrace-install.py>`_ 
+and specify ``--prefix <install-directory>``. This script attempts to auto-detect 
+the appropriate OS distribution and version. To include AMD ROCm (TM) Software support, 
+specify ``--rocm X.Y``, where ``X`` is the ROCm major
+version and ``Y`` is the ROCm minor version, for example, ``--rocm 6.2``.
+
+.. code:: shell
+
+   wget https://github.com/ROCm/omnitrace/releases/latest/download/omnitrace-install.py
+   python3 ./omnitrace-install.py --prefix /opt/omnitrace --rocm 6.2
+
+This script supports installation on Ubuntu, OpenSUSE, Red Hat, Debian, CentOS, and Fedora.
+If the target OS is compatible with one of the operating system versions listed here,
+specify ``-d <DISTRO> -v <VERSION>``. For example, if the OS is compatible with Ubuntu 18.04, pass
+``-d ubuntu -v 18.04`` to the script.
+
+Operating system support
+========================================
+
+Omnitrace is only supported on Linux. The following distributions are tested:
+
+* Ubuntu 18.04
+* Ubuntu 20.04
+* Ubuntu 22.04
+* OpenSUSE 15.2
+* OpenSUSE 15.3
+* OpenSUSE 15.4
+* Red Hat 8.7
+* Red Hat 9.0
+* Red Hat 9.1
+
+Other OS distributions might be supported but are not tested.
+
+Release links
+========================================
+
+To review and install either the current Omnitrace release or earlier releases, use these links:
+
+* `Latest Omnitrace Release <https://github.com/ROCm/omnitrace/releases/latest>`_ 
+* `All Omnitrace Releases <https://github.com/ROCm/omnitrace/releases>`_