Throughput computing series... getting the most of your SPARC CMT server.

Monday Jan 07, 2008

I was thinking about the development of a CMT throughput benchmark, but it occurred to me that there are many *good* examples of throughput already out with the benchmarks we publish... just look at the bmseer postings on the Recent T2 results and the long line of performance records on the T2000.

The biggest disconnect with CMT servers is a misunderstanding of throughput and multi-threaded applications. I made a posting last year which touched on some initial impressions, but I thought it would be a good idea to dig in further.

This entry is to kick off a series of postings that explore different aspects of throughput computing in a CMT environment. The rough outline is as follows:

Overview
• Definition of Throughput computing, multi-threading, and concurrency.
Explore system parallelism
• Unix commands and parallel options
• Concurrent builds/compiles.
• Configuring the system for parallelism
Configuring applications for parallelism
• Concurrency vs multi-threading
• Single-Threaded jobs
Database parallelism with Oracle
• Parallel loader and datapump
• Index build parallelism
• Concurrent processing in Oracle
• Configuring Oracle for CMT servers

Like this post? | | | |

Posted at 01:25PM Jan 07, 2008 by glennf in Throughput Computing
Tags: cmt cores databases gzip oracle parallelism performance pgzip solaris sparc t1 t2 t2000 t5120 t5220 threads throughput