Update power10.md

docs.it4i/cs/guides/power10.md

@@ -25,6 +25,7 @@ The platform offers both `GNU` based and proprietary IBM toolchains for building
 ## Building Applications
 
 Our sample application depends on `BLAS`, therefore we start by loading following modules (regardless of which toolchain we want to use):
+
 ```
 ml GCC OpenBLAS
 ```
@@ -32,10 +33,13 @@ ml GCC OpenBLAS
 ### GCC Toolchain
 
 In the case of GCC toolchain we can go ahead and compile the application as usual using either `g++`
+
 ```
 g++ -lopenblas hello.cpp -o hello
 ```
+
 or `gfortran`
+
 ```
 gfortran -lopenblas hello.f90 -o hello
 ```
@@ -44,6 +48,7 @@ as usual.
 ### IBM Toolchain
 
 The IBM toolchain requires additional environment setup as it is installed in `/opt/ibm` and is not exposed as a module
+
 ```
 IBM_ROOT=/opt/ibm
 OPENXLC_ROOT=$IBM_ROOT/openxlC/17.1.1
@@ -57,10 +62,12 @@ export LD_LIBRARY_PATH=$OPENXLF_ROOT/lib:$LD_LIBRARY_PATH
 ```
 
 from there we can use either `ibm-clang++`
+
 ```
 ibm-clang++ -lopenblas hello.cpp -o hello
 ```
 or `xlf`
+
 ```
 xlf -lopenblas hello.f90 -o hello
 ```
@@ -81,10 +88,12 @@ export LD_LIBRARY_PATH=$ESSL_ROOT/lib64:$LD_LIBRARY_PATH
 
 The simplest way to utilize `ESSL` in application, which already uses `BLAS` or `CBLAS` routines is to link with the provided `libessl.so`. This can be done by replacing `-lopenblas` with `-lessl` or `-lessl -lopenblas` (in case `ESSL` does not provide all required `BLAS` routines).
 In practice this can look like
+
 ```
 g++ -L${ESSL_ROOT}/lib64 -lessl -lopenblas hello.cpp -o hello
 ```
 or
+
 ```
 gfortran -L${ESSL_ROOT}/lib64 -lessl -lopenblas hello.f90 -o hello
 ```
@@ -95,6 +104,7 @@ and similarly for IBM compilers (`ibm-clang++` and `xlf`).
 The `hello world` example application (written in `C++` and `Fortran`) uses simple stationary probability vector estimation to illustrate use of GEMM (BLAS 3 routine).
 
 Stationary probability vector estimation in `C++`:
+
 ```c++
 #include <iostream>
 #include <vector>
@@ -153,6 +163,7 @@ int main(int argc, char *argv[])
 ```
 
 Stationary probability vector estimation in `Fortran`:
+
 ```fortran
 program main
     implicit none