Add branch name explicitly to SRC_URI where it's not defined and switch
to using https protocol for Github projects.
The change was made using convert_srcuri script for OE-Core.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
The recipe for Intel OneAPI IPP library version 2021.4.0.
IPP is an extensive library of ready-to-use, domain-specific functions
that are highly optimized for diverse Intel architectures.
Signed-off-by: Mariia Vtiurina <mariia.vtiurina@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
The initial version of the recipe for Intel OneAPI IPP library.
IPP is an extensive library of ready-to-use, domain-specific functions
that are highly optimized for diverse Intel architectures.
Signed-off-by: Mariia Vtiurina <mariia.vtiurina@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
- Fixed issue in `structuredRegular` and `vdb` interval iterators that could
lead to erroneous initial intervals for certain ray inputs
- Fixed handling of `intervalResolutionHint` interval iterator context
parameter for `amr`, `particle`, and `unstructured` volumes with small
numbers of cells / primitives
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Release notes:
https://github.com/openvkl/openvkl/blob/master/CHANGELOG.md
Highlights:
The version 1.0 release marks long term API stability (until v2.0)
Open VKL can now be built for ARM CPUs that support Neon
Iterator API updates:
Introducing interval and hit iterator contexts, which hold iterator-specific configuration (eliminates value selector objects)
Interval and hit iteration is now supported on any volume attribute
Interval iterators now include a time parameter
Interval iterators now support the intervalResolutionHint parameter, replacing maxIteratorDepth and elementaryCellIteration
Supporting configurable background values; default is now VKL_BACKGROUND_UNDEFINED (NaN) for all volume types
vklGetValueRange() now supports all volume attributes
Added ISPC-side API bindings for vklGetNumAttributes() and vklGetValueRange()
Structured regular volumes:
Added support for tricubic filtering
More accurate gradient computations respecting filter mode
Hit iteration robustness improvements
VDB volumes:
Interval and hit iteration robustness improvements
Corrected interval iterator nominalDeltaT computation for non-normalized ray directions and non-uniform object-space grid spacings
Fixed bug which could cause incorrect value range computations for temporally varying volumes
vklExamples additions demonstrating:
Multi-attribute interval / hit iteration
Configurable background values
Temporally varying volumes
Superbuild updates to latest versions of dependencies
Now requiring minimum versions:
Embree 3.13.1
rkcommon 1.7.0
ISPC 1.16.0
License-Update: Copyright years updated
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
The tests fail to build with glibc 2.34:
| rkcommon/1.6.1-r0/git/tests/catch.hpp:10811:58: error: call to non-'constexpr' function 'long int sysconf(int)'
| | static constexpr std::size_t sigStackSize = 32768 >= MINSIGSTKSZ ? 32768 : MINSIGSTKSZ;
| |
| ^~~~~~~~~~~
This has been fixed but is not yet available in a released version:
https://github.com/ospray/rkcommon/issues/5
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Intel Open Image Denoise is an open source library of high-performance,
high-quality denoising filters for images rendered with ray tracing.
Intel Open Image Denoise is part of the Intel® oneAPI Rendering Toolkit.
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Intel OSPRay is an open source, scalable, and portable ray
tracing engine for high-performance, high-fidelity visualization
on Intel Architecture CPUs.
The purpose of OSPRay is to provide an open, powerful, and easy-to-use
rendering library that allows one to easily build applications that
use ray tracing based rendering for interactive applications
(including both surface- and volume-based visualizations). OSPRay
is completely CPU-based, and runs on anything from laptops, to
workstations, to compute nodes in HPC systems.
https://www.ospray.org/
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Intel(R) Open Volume Kernel Library (Intel(R) 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. The kernels are optimized for the latest Intel(R) processors
with support for SSE, AVX, AVX2, and AVX-512 instructions.
Open VKL provides a C API, and also supports applications written with
the Intel(R) Implicit SPMD Program Compiler (Intel(R) ISPC) 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, and AVX-512 instructions. ISPC also supports
runtime code selection, thus ISPC will select the best code path for
your application.
https://www.openvkl.org/
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
Intel(R) Embree is a collection of high-performance ray tracing kernels,
developed at Intel. The target users of Intel(R) Embree are graphics
application engineers who want to improve the performance of their
photo-realistic rendering application by leveraging Embree's
performance-optimized ray tracing kernels.
The kernels are optimized for the latest Intel(R) processors with
support for SSE, AVX, AVX2, and AVX-512 instructions.
https://github.com/embree/embree
Added syrah license file
https://github.com/boulos/syrah/blob/master/LICENSE
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
rkcommon represents a common set of C++ infrastructure and
CMake utilities used by various components of
Intel® oneAPI Rendering Toolkit.
https://github.com/ospray/rkcommon
Signed-off-by: Naveen Saini <naveen.kumar.saini@intel.com>
Signed-off-by: Anuj Mittal <anuj.mittal@intel.com>
