1 files changed, 33 insertions, 0 deletions
diff --git a/libraries/openvkl/README b/libraries/openvkl/README
new file mode 100644
index 0000000000..33966d96c4
--- /dev/null
+++ b/libraries/openvkl/README
@@ -0,0 +1,33 @@
+Intel Open Volume Kernel Library (Intel Open VKL) is a collection of
+high-performance volume computation kernels, developed at Intel. The
+target users of Open VKL are graphics application engineers who want to
+improve the performance of their volume rendering applications by
+leveraging Open VKL’s performance-optimized kernels, which include
+volume traversal and sampling functionality for a variety of volumetric
+data formats. Open VKL supports x86 CPUs under Linux, macOS, and
+Windows; ARM CPUs on macOS; as well as Intel® GPUs under Linux and
+Windows (currently in beta).
+
+Open VKL contains kernels optimized for the latest x86 processors with
+support for SSE, AVX, AVX2, and AVX-512 instructions, and for ARM
+processors with support for NEON instructions. Open VKL supports Intel
+GPUs based on the Xe HPG microarchitecture (Intel® Arc™ GPU) under
+Linux and Windows and Xe HPC microarchitecture (Intel® Data Center GPU
+Flex Series and Intel® Data Center GPU Max Series) under Linux. Intel
+GPU support leverages the SYCL open standard programming language; SYCL
+allows one to write C++ code that can be run on various devices, such
+as CPUs and GPUs. Open VKL is part of the Intel® oneAPI Rendering
+Toolkit and is released under the permissive Apache 2.0 license.
+
+Open VKL provides a C-based API on CPU and GPU, and also supports
+applications written with the Intel Implicit SPMD Program Compiler
+(Intel ISPC) for CPU by also providing an ISPC interface to the core
+volume algorithms. This makes it possible to write a renderer in ISPC
+that automatically vectorizes and leverages SSE, AVX, AVX2, AVX-512,
+and NEON instructions. ISPC also supports runtime code selection, thus
+ISPC will select the best code path for your application.
+
+In addition to the volume kernels, Open VKL provides tutorials and
+example renderers to demonstrate how to best use the Open VKL API.
+
+IMPORTANT: this build requires llvm-17 from Slackware64-15.0/extra