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CHANGELOG.md

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Version History

Open VKL 0.13.0

  • Driver (now device) API changes:
    • Renamed VKLDriver to VKLDevice and updated associated device setup APIs
    • Use of multiple concurrent devices is now supported; therefore vklNewVolume() and vklNewData() now require a device handle
    • Renamed the ispc_device module and ispc device to cpu_device and cpu, respectively
    • The OPENVKL_CPU_DEVICE_DEFAULT_WIDTH environment variable can now be used to change the cpu device's default SIMD width at run time
  • Added new VKLTemporalFormat enum used for temporally varying volume parameterization
  • VDB volumes:
    • Support for temporally structured and temporally unstructured (TUV) attribute data, which can be used for motion blurred rendering
    • Supporting tricubic filtering via VKL_FILTER_TRICUBIC filter type
    • Added support for half precision float-point (FP16) attribute data via VKL_HALF data type
    • Added a new InnerNode observer and associated utility functions which allows applications to introspect inner nodes of the internal tree structure, including bounding boxes and value ranges
    • Renamed VKL_FORMAT_CONSTANT_ZYX to VKL_FORMAT_DENSE_ZYX
  • Structured regular and spherical volumes:
    • Added support for half precision float-point (FP16) attribute data via VKL_HALF data type
  • Unstructured volumes:
    • Added support for elementary cell iteration via the elementaryCellIteration parameter
    • Robustness improvements for hit iteration
  • AMR volumes:
    • Improved interval iterator implementation, resolving issues with returned interval nominalDeltaT values
    • Interval iterators now support maxIteratorDepth parameter
  • Interval and hit iteration performance improvements when multiple values ranges / values are selected
  • Added new temporal compression utilities which applications can use for processing temporally unstructured attribute data
  • vklExamples additions demonstrating:
    • Motion blurred rendering on temporally structured and temporally unstructured vdb volumes
    • Tricubic filtering on vdb volumes
    • Half-precision floating-point (FP16) support for structuredRegular, structuredSpherical, and vdb volumes
    • Elementary cell interval iteration on unstructured volumes
    • Use of the InnerNode observer on vdb volumes
  • Superbuild updates to:
    • Embree 3.13.0
    • rkcommon 1.6.1
  • Minimum rkcommon version is now 1.6.1

Open VKL 0.12.1

  • Fixed bug in VDB volume interval iterator implementation which could lead to missed intervals or incorrect value ranges in returned intervals

Open VKL 0.12.0

  • Added support for temporally varying volumes with associated API changes for sampling, gradients, and hit iteration. This feature can be used to enable motion blurred rendering
  • Structured regular volumes:
    • Support for temporally structured and temporally unstructured (TUV) input data
    • Improved nominalDeltaT for interval iteration
    • Interval iterator robustness improvements for axis-aligned rays
    • Sampling performance improvements
  • VDB volumes:
    • Multi-attribute support (including three-component float grids)
    • Interval iterator robustness improvements for axis-aligned rays
    • Performance improvements for scalar sampling
    • Now restricting volumes to exactly four levels
    • Allowing leaf nodes on the lowest level only
  • Unstructured volumes:
    • Improved nominalDeltaT for interval iteration
  • vdb_util updates:
    • Support for loading multi-attribute .vdb files (float and Vec3s grids)
    • Fix order of rotation matrix coefficients loaded from .vdb files
  • vklExamples additions demonstrating:
    • Motion blurred rendering on temporally structured and temporally unstructured volumes (structuredRegular only)
    • Support for vdb multi-attribute volumes
    • Hit iterator time support
  • Superbuild updates to:
    • Embree 3.12.2
    • rkcommon 1.6.0
    • ISPC 1.15.0
    • OpenVDB 8.0.0
  • Minimum rkcommon version is now 1.6.0

Open VKL 0.11.0

  • Introduced API support for multi-attribute volumes, including APIs for sampling multiple attributes simultaneously
    • Initially only structuredRegular and structuredSpherical volume types support multi-attribute data
  • Iterator APIs now work on sampler objects rather than volumes, supporting finer-grained configurability
  • Observers can now be created for both volume and sampler objects
    • LeafNodeAccess observers must now be created on sampler objects
  • Log and error callbacks now support a user pointer
  • vdb volume interval iterators:
    • Added support for elementary cell iteration when maxIteratorDepth is set to VKL_VDB_NUM_LEVELS-1
    • Up to 2x faster iteration
  • unstructured and particle volume interval iterators:
    • Improved interior empty space skipping behavior
    • Added support for configurable iterator depth via the maxIteratorDepth parameter
  • Added support for filter modes in structuredRegular and structuredSpherical volumes
  • amr volumes now support method parameter on sampler objects
  • Added new interval_iterator_debug renderer in vklExamples to visualize interval iteration behavior
  • Hit iterator accuracy improvements for unstructured volumes
  • Fixed bugs in amr and vdb volume bounding box computations
  • Fixed bug in unstructured volume gradient computations near empty regions
  • Minimum ISPC version is now v1.14.1

Open VKL 0.10.0 (alpha)

  • Added new particle volume type supporting Gaussian radial basis functions
  • Introduced VKLSampler objects allowing configuration of sampling and gradient behavior
  • Added stream-wide sampling and gradient APIs
  • Introduced a new way to allocate iterators, giving the user more freedom in choosing allocation schemes and reducing iterator size
  • Added support for strided data arrays
  • Added gradient implementations for amr and vdb volumes
  • Hit iterator accuracy improvements for amr, structuredSpherical, unstructured, and vdb volumes
  • Up to 4x performance improvement for structuredRegular and structuredSpherical sampling for volumes in the 1-2GB range
  • Up to 2x performance improvement for structuredRegular interval iteration
  • Improved commit speed for unstructured volumes
  • Improved value range computation in vdb volumes
  • Improved isosurface shading in vklExamples
  • Improved parameter validation across all volume types
  • Aligned VKLHit[4,8,16] and VKLInterval[4,8,16] structs
  • Added hit epsilon to VKLHit[4,8,16]
  • Updated parameter names for vdb volumes
  • Renamed VKLVdbLeafFormat to VKLFormat
  • Fixed incorrect use of system-installed CMake in superbuild while building dependencies
  • Fixed various memory leaks
  • Fixed crashes which could occur in VdbVolume::cleanup() and vklShutdown()
  • Moved from ospcommon to rkcommon v1.4.1

Open VKL 0.9.0 (alpha)

  • Added support for VDB sparse structured volumes ("vdb" volume type)
  • Added vdb_util library to simplify instantiation of VDB volumes, and support loading of .vdb files using OpenVDB
  • Added VKLObserver and associated APIs, which may used by volume types to pass information back to the application
    • A LeafNodeAccess observer is provided for VDB volumes to support on-demand loading of leaf nodes
  • Structured regular volumes:
    • Up to 6x performance improvement for scalar iterator initialization
    • Up to 2x performance improvement for scalar iterator iteration
  • General improvements to the CMake Superbuild for building Open VKL and all associated dependencies
  • Allowing instantiation of ISPC driver for any supported SIMD width (in addition to the default automatically selected width)
  • Volume type names are now camelCase (legacy snake_case type names are deprecated), impacting structuredRegular and structuredSpherical volumes
  • Enabling flushDenormals driver mode by default
  • Aligning public vkl_vvec3f[4,8,16] and vkl_vrange1f[4,8,16] types
  • Added VKL_LOG_NONE log level
  • Fixed bug in vklExamples which could lead to improper rendering on macOS Catalina
  • Fixed bug in unstructured volume interval iterator which could lead to errors with some combinations of lane masks
  • Now providing binary releases for Linux, macOS, and Windows

Open VKL 0.8.0 (alpha)

  • Added support for structured volumes on spherical grids ("structured_spherical" volume type)
  • Structured regular volumes:
    • Up to 8x performance improvement for scalar (single-wide) sampling
    • Fixed hit iterator bug which could lead to isosurfacing artifacts
    • Renamed voxelData parameter to data
  • Unstructured volumes:
    • Up to 4x performance improvement for scalar (single-wide) sampling
    • Improved interval iterator implementation for more efficient space skipping and tighter value bounds on returned intervals
    • Now using Embree for BVH builds for faster build times / volume commits
    • Renamed vertex.value and cell.value parameters to vertex.data and cell.data, respectively
  • AMR volumes:
    • renamed block.cellWidth parameter to cellWidth, and clarified API documentation
  • Added vklGetValueRange() API for querying volume value ranges
  • Added new driver parameters, APIs, and environment variables allowing user control of log levels, log / error output redirection, number of threads, and other options
  • vklIterateHit[4,8,16]() and vklIterateInterval[4,8,16]() calls now only populate hit / interval data for active lanes
  • Changed VKLDataType enum values for better forward compatibility
  • ISPC-side hit and interval iterator objects must now be declared varying
  • More flexible ISA build configuration through OPENVKL_MAX_ISA and OPENVKL_ISA_* CMake build options
  • Minimum ospcommon version is now 1.1.0

Open VKL 0.7.0 (alpha)

  • Initial public alpha release, with support for structured, unstructured, and AMR volumes.