The HPNLMOD Procedure
The HPNLMOD procedure does the following:
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reads input data in parallel and writes output data in parallel when the data source is the appliance database
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is highly multithreaded during all phases of analytic execution
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computes analytical derivatives of user-provided expressions for more robust parameter estimations
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evaluates user-provided expressions and their confidence limits by using the ESTIMATE and PREDICT statements
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estimates parameters without specifying a particular distribution function by using the least squares method
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estimates parameters by using the maximum likelihood method when either a built-in distribution function is specified or a likelihood function is provided
Because the HPNLMOD procedure is a high-performance analytical procedure, it also does the following:
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enables you to run in distributed mode on a cluster of machines that distribute the data and the computations
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enables you to run in single-machine mode on the server where SAS is installed
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exploits all the available cores and concurrent threads, regardless of execution mode
For more information, see the section Processing Modes in Chapter 3: Shared Concepts and Topics.