slackbuilds_ponce/libraries/openvkl
Lockywolf c3895e2fab libraries/openvkl: Added (Intel Open Volume Kernel Library).
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
2024-03-20 14:25:05 +07:00
..
openvkl.info
openvkl.SlackBuild
README
slack-desc

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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 VKLs 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