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

You Might Also Like
Create custom docs, forms, apps, e-signatures, and surveys with Titan. Icon
Create custom docs, forms, apps, e-signatures, and surveys with Titan.

Powerful no-code digital experiences for Salesforce

Create custom docs, forms, apps, e-signatures, and surveys with Titan’s full-suite of enterprise applications designed to integrate seamlessly with Salesforce data across your entire organization. #1 on the Salesforce appexchange
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

Science/Research, Developers

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