From 30b6a6ddc6db0c60013c13ee78b4315ac251f9c5 Mon Sep 17 00:00:00 2001
From: Jan Siwiec <jan.siwiec@vsb.cz>
Date: Tue, 2 Jun 2020 12:33:45 +0200
Subject: [PATCH] Update intel-integrated-performance-primitives.md fixed
 introduction, related to #68

---
 .../intel-suite/intel-integrated-performance-primitives.md   | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md b/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md
index dc5e831ae..896a02ae4 100644
--- a/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md
+++ b/docs.it4i/software/intel/intel-suite/intel-integrated-performance-primitives.md
@@ -1,10 +1,11 @@
 # Intel IPP
 
-## Intel Integrated Performance Primitives
+## Introduction
 
-Intel Integrated Performance Primitives version 9.0.1 compiled for AVX2 vector instructions is available via the `ipp`  module. IPP is a very rich library of highly optimized algorithmic building blocks for media and data applications. This includes signal, image, and frame processing algorithms, such as FFT, FIR, Convolution, Optical Flow, Hough transform, Sum, MinMax, as well as cryptographic functions, linear algebra functions, and many more.
+Intel Integrated Performance Primitives is a very rich library of highly optimized algorithmic building blocks for media and data applications. This includes signal, image, and frame processing algorithms, such as FFT, FIR, Convolution, Optical Flow, Hough transform, Sum, MinMax, as well as cryptographic functions, linear algebra functions, and many more.
 
 Check out IPP before implementing own math functions for data processing, as it is likely already there.
+IPP version 9.0.1 compiled for AVX2 vector instructions is available via the `ipp` module:
 
 ```console
 $ ml ipp
-- 
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