Significance of Results
Oracle's SPARC T4-2 server configured with a
Sun Storage F5100 Flash Array
and running Oracle Solaris 10 with
Oracle Database 11g
has achieved exceptional performance
for the Oracle Essbase Aggregate Storage Option
benchmark. The benchmark has
upwards of 1 billion records, 15 dimensions and millions of members.
Oracle Essbase is a multi-dimensional online analytical processing
(OLAP) server and is well-suited to work well with SPARC T4 servers.
Last year we endured the grueling heat of the Las Vegas desert as AMD ascended on The Venetian for VMworld 2011. That said… we’re quite pleased to be joining you in a much cooler San Francisco this year, even if that means navigating the notorious San Francisco fog! If you’re lucky enough to be joining us on the show floor at Moscone Center don’t forget to swing by booth #801 and say hi to our team on the ground.
Anyone who has ever watched TV here in the U.S. knows the line, “but wait, there’s more,” is a staple used in commercials by TV pitchmen for special TV-only offers over the years which have ranged from Ginsu knives to ShamWow.
However, that line and many other famous TV pitch lines kept popping into my head when given the task of telling you about an event we’re hosting with our friends at the San Francisco Giants next month. See how many of those famous TV pitch lines you can spot in this blog.
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One of my all-time favorite Seinfeld episodes is the one where we are introduced to the made-up- holiday of Festivus.
AMD Embedded Solutions was pleased to have several bright students join us this summer as interns. They had the opportunity to work on product engineering, software development, customer solutions and project planning. We enjoyed having them on board and wanted to give them an opportunity to talk about what they learned during their time with AMD.
New NS controllers as well as performance and capacity scalability features were announced August 5, 2012 by Nimble Storage.
By Kelly Gillilan, Product Marketing Manager at AMD, Embedded Solutions.
As graphics chips become more powerful, new ways to harness their potential for embedded applications arise, such as utilizing the GPU cores to process hundreds of floating point operations in parallel, also referred to as GPGPU (general-purpose graphics processing unit) computing or parallel processing.