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