Update README.md (oneapi-src#1877)

Author: IgorOchocki

Libraries/oneMKL/guided_cuRAND_examples_SYCL_migration/README.md

@@ -1,22 +1,22 @@
-# `cuRAND Migration` Sample
+# `cuRAND to oneMKL RNG Migration` Sample
 
-The `cuRAND Migration` sample is a collection of code samples that demonstrate the cuBLAS equivalent in Intel® oneAPI Math Kernel Library (oneMKL). 
+The `cuRAND to oneMKL RNG Migration` Sample is a collection of code samples that demonstrate the cuRAND equivalent SYCL API functionality in the Intel® oneAPI Math Kernel Library (oneMKL). 
 
 | Area                   | Description
 |:---                    |:---
-| What you will learn    | How to begin migrating CUDA code to a SYCL*-compliant equivalent
+| What you will learn    | How to migrate cuRAND API based source code to the equivalent SYCL*-compliant oneMKL Interfaces API for random number generation (RNG)
 | Time to complete       | 30 minutes
 | Category               | Code Optimization
 
 For more information on oneMKL and complete documentation of all oneMKL routines, see https://www.intel.com/content/www/us/en/developer/tools/oneapi/onemkl-documentation.html.
 
 ## Purpose
 
-The samples source code using SYCL were migrated from CUDA source code for offloading computations to a GPU/CPU. The sample demonstrates how to migrate code to SYCL, optimize the migration steps, and improve processing time.
+The sample source code using SYCL was migrated from CUDA source code for offloading computations to a GPU/CPU. The sample demonstrates migrating code to SYCL, optimizing the migration steps, and improving execution time.
 
-Each of the cuRAND samples source files shows the usage of different oneMKL cuRAND routines. All are basic programs containing the usage of a single method of generating pseudorandom numbers.
+Each cuRAND sample source file shows the usage of different oneMKL RNG domain routines. All are basic programs demonstrating the usage for a single method of generating pseudorandom numbers.
 
->**Note**: This sample is based on the [*cuRAND Library - APIs Examples*](https://github.com/NVIDIA/CUDALibrarySamples/tree/master/cuRAND) samples in the NVIDIA/CUDALibrary GitHub repository.
+>**Note**: This sample is based on the [*cuRAND Library - APIs Examples*](https://github.com/NVIDIA/CUDALibrarySamples/tree/master/cuRAND) samples in the NVIDIA/CUDALibrarySamples GitHub repository.
 
 ## Prerequisites
 
@@ -32,10 +32,10 @@ This sample contains two sets of sources in the following folders:
 
 | Folder Name             | Description
 |:---                     |:---
-| `01_sycl_dpct_output`   | Contains output of Intel® DPC++ Compatibility Tool used to migrate SYCL-compliant code from CUDA code. <br> This SYCL code has some unmigrated or incorrectly generated code that has to be manually fixed before it is functional. (The code does not work as supplied.)
-| `02_sycl_dpct_migrated` | Contains SYCL to CUDA migrated code generated by using the Intel® DPC++ Compatibility Tool with the manual changes implemented to make the code fully functional.
+| `01_sycl_dpct_output`   | Contains initial output of the Intel® DPC++ Compatibility Tool used to migrate SYCL-compliant code from CUDA code. <br> It may contain not fully migrated or incorrectly generated code that has to be manually fixed before it is functional. (The code does not work as supplied.)
+| `02_sycl_dpct_migrated` | Contains SYCL to CUDA migrated code generated using the Intel® DPC++ Compatibility Tool with the manual changes implemented to make the code fully functional.
 
-These functions are classified into eight different directories, each based on a RNG engine. There are **48** samples:
+These functions are classified into eight different directories, each based on an RNG engine. There are **48** samples:
 
 ## Set Environment Variables