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Dynamic Shared Library Interposing Framework for Transparent Accelerator Utilization
Home Page: http://pc2.github.com/liftracc/
This project forked from pc2/liftracc
Dynamic Shared Library Interposing Framework for Transparent Accelerator Utilization
Home Page: http://pc2.github.com/liftracc/
liftracc is a library framework to create accelerated replacements of existig libraries. The new library can be used instead of the old, unaccelerated version. One technique to use such libraries is 'shared library interposing'. Through a flexible plugin system it is possible to integrate existing versions of accelerated sublibraries. Also it is possible to write the needed programmcode directly inside a plugin to control the hardware accelerator (e.g. grafik card, accelerator board). The framework provides mechanisms to dynamically select between different implementations of one function (provided through the plugins). Thus it is possible to use different accelerators on different problem sizes. Research around the liftracc project has shown that you can get certain speedup from such dynamic selection. In this repository, as an example, the framework is used to build an accelerated version of the blas (basic linear algebra subprogramms) interface. A function collection of mathematical vector an matrix functions. For further information on how to install, use and extend the framework have a look at 'liftracc/library/documentation/html/index.html' after cloning. directory structure: liftracc/benchmarks/ - linpack benchmark in order to test the library liftracc/blas_libs/ - bash scripts for easy sublibrary installation liftracc/common/ - some python scripts - cmake modules - xml files liftracc/library/ - liftracc source code - auto generation scripts - profiling scripts liftracc/library/documentation/html/ - library documentation liftracc/testapps/ - some test applications
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