updated README

NLESC-JCER · Feb 10, 2020 · a05bc53 · a05bc53
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -2,7 +2,7 @@
 
 # [0.4.0] 10/02/2020
 ### Changed
-  - Split the memory managment (`CudaMatrix`) from the cublas invocation (`CudaPipeline`)
+  - Split the memory management (`CudaMatrix`) from the CUBLAS invocation (`CudaPipeline`)
   - Moved all the allocation to the smart pointers inside `CudaMatrix`
  - Removed unused headers
 
@@ -21,12 +21,12 @@
 
 # [0.2.0] 27/08/2019
 ### Added
- - Tensor matrix multiplacation using [gemmbatched](https://docs.nvidia.com/cuda/cublas/index.html#cublas-lt-t-gt-gemmbatched).
+ - Tensor matrix multiplacation using [gemmbatched](https://docs.nvidia.com/cuda/CUBLAS/index.html#CUBLAS-lt-t-gt-gemmbatched).
  - [Async calls](https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__MEMORY.html#group__CUDART__MEMORY_1g85073372f776b4c4d5f89f7124b7bf79) to memory copies.
  - Properly free memory after the tensor operation is done.
 
 # [0.1.0]
 
 ### New
- - Use a template function to perform matrix matrix multiplacation using [cublas](https://docs.nvidia.com/cuda/cublas/index.html).
+ - Use a template function to perform matrix matrix multiplacation using [CUBLAS](https://docs.nvidia.com/cuda/CUBLAS/index.html).
  - Use either *pinned* (**default**) or *pageable* memory, see [cuda optimizations](https://devblogs.nvidia.com/how-optimize-data-transfers-cuda-cc/).
diff --git a/README.md b/README.md
@@ -1,6 +1,6 @@
 # EigenCuda
 
-Offload the [Eigen3](http://eigen.tuxfamily.org/index.php?title=Main_Page) matrix matrix multiplacation to an Nvidia GPU
+Offload the [Eigen3](http://eigen.tuxfamily.org/index.php?title=Main_Page) matrix matrix multiplication to an Nvidia GPU
 using [cublas](https://docs.nvidia.com/cuda/cublas/index.html).
 
 ## CMake Installation