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Automated Code Acceleration with Compilation to OpenCL: ACM TACO publication and open source release

Over the last years, we have worked in the area of automatic and transparent acceleration of legacy sequential CPU applications. We are proud to announce that we have now open-sourced HTrOP, the prototypical implementation of a compilation and runtime environment for multi-accelerator platforms that was devised and evaluated within this research.

HTrOP is able to automatically identify computational-intensive application parts, parallelize the sequential code, generate corresponding OpenCL kernel and host code and transparently offload the hotspots to different OpenCL-enabled computing devices.

A journal article (open access) on this topic has just been published at ACM Transactions on Architecture and Code Optimization (TACO).

Further information can be found on the project's webpage.


Contact

Heinrich Riebler

Heinrich Riebler

Paderborn Center for Parallel Computing (PC2)

Research Associate

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Gavin  Vaz

Gavin Vaz

Paderborn Center for Parallel Computing (PC2)

Research Associate

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Dr. Tobias Kenter

Paderborn Center for Parallel Computing (PC2)

Scientific Advisor FPGA Acceleration

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Christian Plessl

Prof. Dr. Christian Plessl

Paderborn Center for Parallel Computing (PC2)

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