KernelGen - GPU Technology Conference

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Collaboration proposal.KernelGen team is seeking for opportunities to:1 Help research groups to evaluate KernelGen in different applications on GPU-enabled HPCfacilities2 Encourage contributions to existing development plan (tiling, parallelism detection insparse data algorithms, and many more) and new proposals involving LLVM, Polly/CLooG,NVPTX and AsFermi3 Offer entire open-source GPU compiler framework as a unified platform for compileroptimizations researchIt is also possible to use KernelGen as a base for OpenACC compiler development!74 / 75
Download link for this presentation:http://kernelgen.org/gtc2013/Project mailing list:kernelgen-devel@lists.hpcforge.org.Thank you!75 / 75
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Simple example: Fortran.Compile the
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Simple example: C.Compile the Fortr
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OpenACC: no external calls.OpenACC
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KernelGen: and external static libr
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KernelGen: smart pointers tracking.
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KernelGen: smart pointers tracking.
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Other nice features..Comfortable ac
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Parallelizing Fortran array-wise co
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OpenACC: no pointer arithmetics.Com
Page 24 and 25: absolute speedup against PGI versio
Page 26 and 27: Performance factors: compute grid.2
Page 28 and 29: Performance factors: code optimizat
Page 30 and 31: Performance factors: code generatio
Page 32 and 33: absolute speedup against CPU versio
Page 34 and 35: Parallelism detection.KernelGen ana
Page 36 and 37: Cooperation with MPI..KernelGen nat
Page 38 and 39: KernelGen compiler pipeline.KernelG
Page 40 and 41: GPU-directed execution.GPUidleseria
Page 42 and 43: KernelGen execution workflow.Scenar
Page 62 and 63: Code generation brief walk-through.
Page 70 and 71: Conclusions.1 KernelGen project imp
Page 72 and 73: Testing COSMO and WRF.KernelGen is
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KernelGen - GPU Technology Conference

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