remove TBB version text

Author: kevinushey

index.Rmd

@@ -8,8 +8,7 @@ output: html_document
 
 RcppParallel provides a complete toolkit for creating portable, high-performance parallel algorithms without requiring direct manipulation of operating system threads. RcppParallel includes:
 
-- [Intel TBB](https://www.threadingbuildingblocks.org/) 
-(v4.3), a C++ library for task parallelism with a wide variety of parallel algorithms and data structures (Windows, OS X, Linux, and Solaris x86 only). 
+- [Intel TBB](https://www.threadingbuildingblocks.org/), a C++ library for task parallelism with a wide variety of parallel algorithms and data structures (Windows, OS X, Linux, and Solaris x86 only). 
 
 - [TinyThread](http://tinythreadpp.bitsnbites.eu/), a C++ library for portable use of operating system threads.
 

index.html

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 <h2>Overview</h2>
 <p>RcppParallel provides a complete toolkit for creating portable, high-performance parallel algorithms without requiring direct manipulation of operating system threads. RcppParallel includes:</p>
 <ul>
-<li><p><a href="https://www.threadingbuildingblocks.org/">Intel TBB</a> (v4.3), a C++ library for task parallelism with a wide variety of parallel algorithms and data structures (Windows, OS X, Linux, and Solaris x86 only).</p></li>
+<li><p><a href="https://www.threadingbuildingblocks.org/">Intel TBB</a>, a C++ library for task parallelism with a wide variety of parallel algorithms and data structures (Windows, OS X, Linux, and Solaris x86 only).</p></li>
 <li><p><a href="http://tinythreadpp.bitsnbites.eu/">TinyThread</a>, a C++ library for portable use of operating system threads.</p></li>
 <li><p><code>RVector</code> and <code>RMatrix</code> wrapper classes for safe and convenient access to R data structures in a multi-threaded environment.</p></li>
 <li><p>High level parallel functions (<code>parallelFor</code> and <code>parallelReduce</code>) that use Intel TBB as a back-end on systems that support it and TinyThread on other platforms.</p></li>