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Accelerating Data Science with RAPIDS


Data science demands the interactive exploration of large volumes of data, combined with computationally intensive algorithms and analytics. Today, the computational limits of CPUs are being realized, and a new approach is needed. We will discuss how the GPU Open Analytics Initiative is breaking the compute barrier with GPU-accelerated libraries such as PyGDF and accelerating data science.


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