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We present Delta, a Python framework that connects magnetic fusion experiments to high-performance computing (HPC) facilities in order leverage advanced data analysis for near real-time decisions. Using the ADIOS I/O framework, Delta streams measurement data with over 300 MByte/sec from a remote experimental site in Korea to Cori, a Cray XC-40 supercomputer at the National Energy Energy Research Scientific Computing Centre in California. There Delta dispatches cython data analysis kernels using an mpi4py PoolExecutor in order to perform a spectral data analysis workflow. Internally Delta uses queues and worker threads for data communication. With this approach we perform a common spectral analysis suite on imaging measurements more than 100 times faster than with a single-core implementation.

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