"Recent advances in multi-core and many-core processors requires
programmers to exploit an increasing amount of parallelism from their
applications. Data parallel languages such as CUDA and OpenCL make it
possible to take advantage of such processors, but still require a large
amount of effort from programmers. To address the challenge of parallel
programming, we introduce Bones.
Bones is a source-to-source compiler based on algorithmic skeletons and
a new algorithm classification. The compiler takes C-code annotated
with class information as input and generates parallelized target code.
Targets include NVIDIA GPUs (through CUDA), AMD GPUs (through OpenCL)
and x86 CPUs (through OpenCL and OpenMP). Bones is open-source, written
in the Ruby programming language, and is available through our website.
The compiler is based on the C-parser CAST, which is used to parse the
input code into an abstract syntax tree (AST) and to generate the target
code from a transformed AST"
http://parse.ele.tue.nl/research/bones/
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