Update README.md

README.md

@@ -7,24 +7,23 @@ About dpctl
 
 <img align="left" src="https://spec.oneapi.io/oneapi-logo-white-scaled.jpg" alt="oneAPI logo" />
 
-`dpctl` (data parallel control) is a lightweight [Python package](https://intelpython.github.io/dpctl) exposing a
-subset of the Intel(R) oneAPI DPC++ [runtime classes](https://www.khronos.org/registry/SYCL/specs/sycl-2020/html/sycl-2020.html#_sycl_runtime_classes)
-that is distributed as part of [Intel(R) Distribution for Python*](https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/distribution-for-python.html) and
-is included in Intel(R) [oneAPI](https://oneapi.io) [Base ToolKit](https://software.intel.com/content/www/us/en/develop/tools/oneapi/base-toolkit.html).
-`dpctl` lets Python users query SYCL platforms, discover and represent SYCL devices, and construct SYCL queues to control data-parallel code execution on [Intel(R) XPUs](https://www.intel.com/content/www/us/en/newsroom/news/xpu-vision-oneapi-server-gpu.html) from Python.
-
-`dpctl` features classes representing [SYCL unified shared memory](https://www.khronos.org/registry/SYCL/specs/sycl-2020/html/sycl-2020.html#sec:usm)
-allocations as well as higher-level objects such as [`dpctl.tensor.usm_ndarray`](https://intelpython.github.io/dpctl/latest/docfiles/dpctl.tensor_api.html#module-dpctl.tensor) on top of USM allocations.
-
-`dpctl` assists authors of Python native extensions written in C,
-Cython, or pybind11 to use its `dpctl.SyclQueue` object to indicate the offload
-target as well as objects in `dpctl.memory` and `dpctl.tensor` submodules to
-represent USM allocations that are accessible from within data-parallel code executed
-on the target queue.
-
-`dpctl.tensor` submodule provides an array container representing an array in a
-strided layout on top of a USM allocation. The submodule provides an array-API
-conforming oneAPI DPC++ powered library to manipulate the array container.
+Data Parallel Control `dpctl` is the Python library that controls multiple devices of a platform, features classes for 
+unified shared memory (USM) management, and implements tensor array API on top of it. It is a foundational part of 
+a larger family of libraries and tools for Data Parallel Python (DPPY) aimed to program XPUs the same way as CPUs.
+
+The library is available via [conda](https://anaconda.org/intel/dpctl) and [pip](https://pypi.org/project/dpctl/).
+It also comes with [Intel(R) Distribution for Python*](https://software.intel.com/content/www/us/en/develop/tools/oneapi/components/distribution-for-python.html)
+
+The `dpctl` library is built upon [SYCL standard](https://www.khronos.org/sycl/) and implements a subset of [runtime 
+classes specifications](https://www.khronos.org/registry/SYCL/specs/sycl-2020/html/sycl-2020.html#_sycl_runtime_classes),
+which allow users to query SYCL platforms, discover and represent SYCL devices, and construct SYCL queues for execution
+of data-parallel code.
+
+The library also assists authors of Python native extensions written in C, Cython, or pybind11 to access objects 
+representing devices, queues, memory, and tensor array APIs.
+
+Please refer to [Getting Started and API Reference documentation](https://intelpython.github.io/dpctl) for more 
+information. 
 
 Requirements
 ============