Search Results for "genetic algorithm cuda"

HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.

texgenpack is a texture compression and conversion program featuring a command line utility and a simple GUI program . Compression is implemented using a genetic algorithm. It supports compression, decompression, conversion and comparison of texture and image files. The image format supported is PNG, while for textures there is support for KTX, PKM and DDS using ETC1, ETC2, DXT1/3/5 or BPTC (BC7) texture compression. Several uncompressed texture format are also supported. This program requires the installation of libfgen, also avalable on SourceForge.