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.

Project Activity

See All Activity >

License

BSD License

Follow HIPAcc

HIPAcc Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of HIPAcc!

Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Developers, Science/Research

Programming Language

C, C++

Related Categories

C++ Frameworks, C++ Code Generators, C++ Compilers, C++ Image Processing Software, C Frameworks, C Code Generators, C Compilers, C Image Processing Software

Registered

2012-06-19