SAS 9.4 Language Reference, 6th Edition

between multiple SAS sessions and enabling each of the sessions to asynchronously

execute tasks in parallel. By establishing connections to processes on the same local

computer, the application can use network resources to process in parallel and coordinate

all the results into the client SAS session. Many SAS processes use multiple processors

on an SMP computer, but they can also be executed on multiple remote single or

multiprocessor computers on a network. Threads are always assumed to be available.

Some SAS High-Performance Analytics products can execute on the SAS Intelligence

Platform if it is configured as an MPP environment. For example, SAS Grid Manager

(discussed in the next section) handles workload management for SAS applications that

execute in SMP configurations. It can also manage applications that are coded for

parallel execution and distributed across the nodes of the SAS High-Performance

Analytics Server.

SAS Visual Analytics is a web-based suite of high-performance analytics applications

that executes on the SAS Intelligence Platform if it is configured as an MPP

environment. This execution environment for SAS Visual Analytics is documented in

the SAS Intelligence Platform: Middle-Tier Administration Guide. (SAS Visual

Analytics is discussed further in the next section. See “SAS High-Performance Analytics

Portfolio of Products” on page 214.)

SAS High-Performance Analytics Portfolio of

Products

SAS High-Performance Analytics products are engineered to make high use of threads.

These products are not part of Base SAS or SAS Foundation. However, they rely on and

extend Base SAS functionality to provide capabilities that support rapid analysis of huge

volumes of data.

Some SAS High-Performance Analytics products can work in concert with, or are

directly integrated with, other SAS applications and solutions. For example, you can

configure SAS Grid Manager to distribute the workload from SAS Enterprise Guide

executing on the SAS Intelligence Platform. The SAS Grid Manager can be used to

manage the workload of SAS jobs on the SAS High-Performance Analytic Server

running on a DBMS appliance such as EMC Greenplum or Teradata. And SAS Visual

Analytics can be used to explore data that is consumed by SAS Enterprise Miner

executing in a SAS Grid environment.

SAS High-Performance Analytics technologies include the following:

• SAS Grid Manager

• SAS In-Database

• SAS In-Memory Analytics technologies, which include:

• SAS High-Performance Analytics Server

• SAS Visual Analytics

• SAS High-Performance Risk Management

• other SAS high-performance products and solutions

214 Chapter 13 • Support for Parallel Processing