Update file grace.md

docs.it4i/cs/guides/grace.md

@@ -23,7 +23,7 @@ The platform offers three toolchains:
 - [Clang for NVIDIA Grace](https://developer.nvidia.com/grace/clang) (installed in `/opt/nvidia/clang`)
 
 !!! note
-    The NVHPC toolchain showed strong results with minimal amount of tunning necessary in our initial evaluation.
+    The NVHPC toolchain showed strong results with minimal amount of tuning necessary in our initial evaluation.
 
 ### GCC Toolchain
 
@@ -59,11 +59,11 @@ for(int i = 0; i < 1000000; ++i) {
 ```
 
 !!! note
-    Our basic experiments show that fixed width vectorization (NEON) tends to perform better in the case of short (register-length) loops than SVE. In cases (like above), where specified `vectorize_width` is larger than avaliable vector unit width, Clang will emit multiple NEON instructions (eg. 4 instructions will be emitted to process 8 64-bit operations in 128-bit units of Grace).
+    Our basic experiments show that fixed width vectorization (NEON) tends to perform better in the case of short (register-length) loops than SVE. In cases (like above), where specified `vectorize_width` is larger than availiable vector unit width, Clang will emit multiple NEON instructions (eg. 4 instructions will be emitted to process 8 64-bit operations in 128-bit units of Grace).
 
 ### NVHPC Toolchain
 
-The NVHPC toolchain handled aforementioned case without any additional tunning. Simple `-O3 -march=native -fast` should be therefore sufficient.
+The NVHPC toolchain handled aforementioned case without any additional tuning. Simple `-O3 -march=native -fast` should be therefore sufficient.
 
 ## Basic Math Libraries
 
@@ -84,7 +84,7 @@ The [NVPL](https://developer.nvidia.com/nvpl) package includes more extensive se
 - RAND: `-lnvpl_rand` or `-lnvpl_rand_mt`
 - SPARSE: `-lnvpl_sparse`
 
-This package should be compatible with all avaliable toolchains and includes CMake module files for easy integration into CMake-based projects. For further documentation see also [NVPL](https://docs.nvidia.com/nvpl).
+This package should be compatible with all availiable toolchains and includes CMake module files for easy integration into CMake-based projects. For further documentation see also [NVPL](https://docs.nvidia.com/nvpl).
 
 ## Basic Communication Libraries
 
@@ -242,7 +242,7 @@ end program main
 
 ### Using NVHPC Toolchain
 
-The C++ version of the example can be compiled with NVHPC and ran as folows
+The C++ version of the example can be compiled with NVHPC and ran as follows
 
 ```console
 ml NVHPC