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Performance of TechEnablement ILP (Instruction Level Parallelism) loop

PGI Compiled OpenACC ILP Loop Beats CUDA-7 by 200 GF/s on Deep-learning PCA Example

The PGI OpenACC compiler beat the performance of a CUDA 7.0 NVIDIA nvcc compiled deep-learning based PCA (Principal Components Analysis) example by 200 GF/s on a K40c using an ILP (Instruction Level Parallelism) loop structure taught in the TechEnablement classes and forthcoming Farber OpenACC book. PCA is an important data analysis tool utilized by data scientists. Sign […]

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