问题已解决！希望能置顶！如何让SAS9.2 能够将处理器的多核心都用起来

同时希望版主能够将本帖置顶，帮助大家一起提高SAS和多核处理器的效率！！！！

http://support.sas.com/documentation/cdl/en/lrdict/64316/HTML/default/viewer.htm#a002197020.htm

http://support.sas.com/documenta ... .htm#a002283824.htm

Definition of Parallel Processing

SAS 9 supports a new wave of SAS functionality related to parallel processing. Parallel processing refers to processing that is handled by multiple CPUs simultaneously. This technology takes advantage of hardware that has multiple CPUs, called SMP computers, and provides performance gains for two types of SAS processes:
•
threaded I/O

•
threaded application processing.


SMP computers have multiple CPUs and an operating environment that can spawn and manage multiple pieces of executable code called threads. A thread is a single, independent flow of control through a program or within a process. Threading takes advantage of multiple CPUs by dividing processing among the available CPUs. A thread-enabled operating environment provides support for threads; for example, each thread needs a context (like a register set and a program counter), a segment of code to execute, and a piece of memory to use in the process.

Even if your site does not use an SMP computer, SAS 9 can still provide increased performance. Some types of threading can be performed using a single CPU.

Threaded I/O

Some applications can process data faster than the data can be delivered to the application. When an application cannot keep the available CPUs busy, the application is said to be I/O-bound.

SAS supports threaded I/O for SAS applications by providing the SAS Scalable Performance Data (SPD) engine. The SPD engine boosts the performance of SAS applications that are I/O bound through parallel processing of partitioned data sets. Partitioned data sets can span disk drives but still be referenced as a single data set. In this way, the SPD engine can read many millions of observations into SAS applications very rapidly by spawning a thread for each data partition and evaluating WHERE expressions in multiple CPUs. SAS 9.1 support for multiple CPUs, for example on a Symmetric Multiprocessor (SMP) computer, and support for multiple disks per CPU make SPD engine's parallel I/O possible. See SAS Scalable Performance Data Engine: Reference for full details on this engine's capabilities.

The benefits of support for multiple disks in SAS 9.1 is not limited to use by the SPD engine. Multiple disks can be on an SMP computer, but they can also be a bank of disks on a single-CPU computer. Increasing the number of disks that can be accessed simultaneously increases the amount of data that can be delivered to an application. This is because reading or writing data to and from disk takes much more time than the associated CPU processing that directs the I/O. Even a single-CPU computer can support multiple disk drives, which boosts performance. When an SMP computer is used, the performance gain can be quite significant because each CPU can support multiple disk drives. However, multiple CPUs cannot speed up I/O from a single disk drive. The minimum configuration for I/O performance gain is at least one controller per CPU and at least two disk drives for each controller. For example, a site with four CPUs should have at least four controllers and eight disk drives.

正需要呢，谢谢

谢谢这么热心的楼主 先学习下~

这一贴技术性比较强，我再顶一次。

好帖  收藏并手动顶了    虽然我其实还没看懂怎么弄。。。。