Search Results for "gpu"

Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. We actively develop Codon...

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.

Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC

Sh is a predecessor to the RapidMind Multi-core Development Platform, a metaprogramming language for programmable GPUs. It is the result of research at the University of Waterloo Computer Graphics Lab.