The HPSUMMARY Procedure
PROC HPSUMMARY provides data summarization tools to compute descriptive statistics for variables across all observations and within groups of observations. For example, PROC HPSUMMARY does the following:
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calculates descriptive statistics based on moments
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calculates and estimates quantiles, which includes the median
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calculates confidence limits for the mean
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identifies extreme values
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performs a
test
PROC HPSUMMARY does not display output. You can use the OUTPUT statement to store the statistics in a SAS data set.
PROC HPSUMMARY provides a vehicle for the parallel execution of summarization in a distributed computing environment. The following list summarizes the basic features of PROC HPSUMMARY:
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provides the ability to execute summarization in parallel
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enables you to control the level of parallelism per execution node and the number of nodes to engage
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is highly multithreaded
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manages data migration to the location of execution and movement back to the client machine as needed
Because the HPSUMMARY 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 2: Shared Concepts and Topics.