Merge pull request #702 from jasonrandrews/spelling

Spelling fixes

Author: jasonrandrews

.wordlist.txt

@@ -2006,4 +2006,30 @@ FFTs
 fft
 Linaro's
 bytecode
-MSC
+MSC
+vectorizable
+autovectorizable
+autovectorized
+autovectorize
+vectorizer
+Reflowing
+callee
+inlining
+Autovec
+GGC
+Schmitz
+Vectorizers
+accg
+hpac
+se
+sem
+ssa
+umu
+wchars
+Kitwares
+arduino
+uv
+uvmpw
+libhugtlbfs
+mcpu
+NoLSE

content/learning-paths/cross-platform/loop-reflowing/autovectorization-on-arm-1.md

@@ -160,7 +160,7 @@ int32_t dotprod(int32_t *A, int32_t *B, size_t N) {
 }
 ```
 
-Compile again ith `-O3`:
+Compile again with `-O3`:
 
 ```bash
 gcc -O3 -fno-inline dotprod.c -o dotprod

content/learning-paths/laptops-and-desktops/win_python/how-to-2.md

@@ -8,7 +8,7 @@ layout: "learningpathall"
 ---
 
 ## Objective
-In this section, you will use the NumPy package you installed previously to create a sample application. The application will use NumPy to perform fast Fourier transforms (FFTs) of the synthesized sine waves corrupted by the noise. The application will run the FFTs several times for the variable lengths of the input waves. The application will measure the code execution time and we canthen analyse the performance boost of the Python interpreter and NumPy package on Arm64. 
+In this section, you will use the NumPy package you installed previously to create a sample application. The application will use NumPy to perform fast Fourier transforms (FFTs) of the synthesized sine waves corrupted by the noise. The application will run the FFTs several times for the variable lengths of the input waves. The application will measure the code execution time and we can then analyze the performance boost of the Python interpreter and NumPy package on Arm64. 
 
 You can find the complete code [here](https://github.com/dawidborycki/PythonOnWoA)
 

content/learning-paths/microcontrollers/project-migration-cmsis-v6/troubleshooting.md

@@ -59,7 +59,7 @@ A similar error can come up for any software component. Here is an example using
 ![Additional software components required](./middleware.png)
 
 {{% notice Resolution %}}
-1. Contact the CMSIS-Pack vendor for your device/software component and ask for an updated version without the CMSIS-CORE version requirement. Alterntively, do the following:
+1. Contact the CMSIS-Pack vendor for your device/software component and ask for an updated version without the CMSIS-CORE version requirement. Alternatively, do the following:
 2. Edit the device's PDSC file and change for example:
 ```xml
 <require Cclass="CMSIS" Cgroup="CORE" Cversion="5.6.0"/>

content/learning-paths/servers-and-cloud-computing/glibc-with-lse/compare_result.md

@@ -59,7 +59,7 @@ The output will look similar to:
 [SCAN], 99thPercentileLatency(us), 70143
 [SCAN], Return=OK, 1499804
 ```
-The overall throughtput (operations/sec) is 6662.1275371047195 with No-LSE Glibc.
+The overall throughput (operations/sec) is 6662.1275371047195 with No-LSE Glibc.
 
 ## Result with LSE
 Launch MongoDB again, this time with Glibc with LSE and obtain benchmark result.

content/learning-paths/servers-and-cloud-computing/libhugetlbfs/libhugetlbfs_general.md

@@ -7,7 +7,7 @@ layout: "learningpathall"
 ##  Introduction to libhugetlbfs
 In Linux, hugepages provide larger memory blocks compared to the default page size. You can use libhugetlbfs to provide memory for application text, data, `malloc()`, and shared memory with hugepages. 
 
-Larger memory pages benefit applications that use considerable amounts of memory which, in turn, may cause reduced performance due to a high number of TLB misses. By enabling libhugetlbfs, workloads with sizeable amounts of code, data, or heap sections may see significant performance improvement.
+Larger memory pages benefit applications that use considerable amounts of memory which, in turn, may cause reduced performance due to a high number of TLB misses. By enabling libhugetlbfs, workloads with sizable amounts of code, data, or heap sections may see significant performance improvement.
 
 ## Install Linux packages