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Archived Performance Articles
18 Jul 2014
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Infor LN on Oracle SPARC T5: 10X faster, 10X lower cost [37407]
Leading ERP System Scales on SPARC

Parnian Taidi writes, "The value any ERP system can deliver depends on real-world performance, not just theoretical capabilities. Infor and Oracle recently conducted joint performance tests using Infor LN on Oracle SPARC T-series servers with customer-based transaction mixes, at the Oracle Solution Center in Linlithgow, UK. The measured results were 10X faster than previous records and showed near-linear scaling in both 2-tier and 3-tier deployments.

Infor LN is a uniquely powerful ERP solution for complex manufacturing, optimized for distributed global operations and equipped with the tools to improve operational performance in manufacturing plants, across the supply chain, and throughout the aftermarket service business. Oracle's SPARC T-servers running Oracle Solaris 11 are cost-effective, highly efficient cloud infrastructure platforms optimized to accelerate enterprise applications, delivering extreme performance and outstanding virtualization capabilities in a compact design..."
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19 Jun 2014
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9 tools to help you with Java Performance Tuning [36988]
By Alex Marshall

"Previously I wrote an article about 5 tools to help you write better java code which helped to improve our code but also our productivity," writes Alex Marshall. "At IDR Solutions we are always looking at ways to improve our code and lately we have been looking at improving our java code in our PDF to HTML5 Converter and Java PDF Library and I noticed that recently one of the areas of focus as been on improving and Java Performance.

In this article I will be taking a look at 9 tools to help you with Java Performance Tuning, some are used by us at IDR Solutions and others that we may use for personal projects..."
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22 Apr 2014
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Parallel Java with Fork/Join on SPARC CMT [35939]
By Amit Hurvitz

"Java 7 Fork and Join allows an easy way to perform dividable work by executing parallel tasks on a single computing machine. This article introduced a fork/join example of counting occurrences of a word in all files/directories under a root directory. I thought to check how these forked threads scale on a T5-4 server. Oracle T5-4 server has 4 processors, each has 16 cores. CMT technology allows 8 threads contexts per core (each core includes two out-of-order integer pipelines, one floating-point unit, level 1 and 2 caches, full specs here).

It took 1131.29 seconds for a single thread to process a root directory with 1024 files, 1.25MB each. Doing the same work with Java fork/join (available from Java 7), increasing "parallelism level" - using the Java fork/join pool terminology - up to 2048, took 7.74 seconds!..."
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28 Mar 2014
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Best Practices - Top Ten Tuning Tips Updated [35605]
By Jeff Savit

Oracle VM Server for SPARC is a high performance virtualization technology for SPARC servers. It provides native CPU performance without the virtualization overhead typical of hypervisors. The way memory and CPU resources are assigned to domains avoids problems often seen in other virtual machine environments, and there are intentionally few "tuning knobs" to adjust.

However, there are best practices that can enhance or ensure performance. This blog post lists and briefly explains performance tips and best practices that should be used in most environments. Detailed instructions are in the Oracle VM Server for SPARC Administration Guide...
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27 Mar 2014
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SPARC M6-32 Produces SAP SD Two-Tier Benchmark World Record for 32-Processor Systems [35494]
140,000 SAP SD benchmark users with a low average dialog response time of 0.58 seconds

Oracle's SPARC M6-32 server produced a world record result for 32-processors on the SAP two-tier Sales and Distribution (SD) Standard Application Benchmark using SAP Enhancement Package 5 for SAP ERP 6.0 (32 chips / 384 cores / 3072 threads).

SPARC M6-32 server achieved 140,000 SAP SD benchmark users with a low average dialog response time of 0.58 seconds running the SAP two-tier Sales and Distribution (SD) Standard Application Benchmark using SAP Enhancement package 5 for SAP ERP 6.0.

The SPARC M6-32 delivered 2.5 times more users than the IBM Power 780 result using SAP Enhancement Package 5 for SAP ERP 6.0. The IBM result also had 1.7 times worse average dialog response time compared to the SPARC M6-32 server result.

The SPARC M6-32 delivered 3.0 times more users than the Fujitsu PRIMEQUEST 2800E (with Intel Xeon E7-8890 v2 processors) result. The Fujitsu result also had 1.7 times worse average dialog response time compared to the SPARC M6-32 server result.

The SPARC M6-32 server solution was run with Oracle Solaris 11 and used Oracle Database 11g.
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27 Mar 2014
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A few Thoughts about Single Thread Performance [35495]
By Stefan Hinker

Stefan Hinker writes, "There's a question I get asked over and over again: How do you measure single thread performance?

As much as I'd like, the answer isn't as easy as the question. And it's a little longer, too.

Let's start with a definition of single thread performance, because even that isn't as clear as one would think. In this blog, single thread performance is the amount of work completed by some software that runs as a single stream of instructions in a certain amount of time.

All of this, of course, is used to evaluate the performance (yet another use of that term!) of a computer system, or sometimes a component of a computer system with regards to the single thread performance one can expect.

But enough of this, what we really want to know is what possibilities we have to measure, and of course compare, single thread performance..."
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