Real Cases – Page 7 – Ugur Candan

SAP Hana: Details of High Performance Analytical Appliance

Posted on 29/07/201113/08/2011 by Ugur

“Intel and SAP engineering teams have collaborated extensively on SAP HANA™ and SAP In-Memory Computing technology. Comparing the in-memory system performance with a classical relational database, the query time was reduced from 77 minutes to 13 seconds when run on the Intel ® Xeon® processor 7500 series. We are thrilled with this result, and it showcases once again the powerful impact of joint problem solving between our two companies.” – K. Skaugen, Intel Vice President and General Manager of the Data Center Group …

Trillion Node Computing:Why We Need to Start All Over?

Posted on 16/07/201114/08/2011 by Ugur

This is a short film (a fast paced preview of a larger effort) by MAYA Design created to put some perspective on the invisible but fast approaching challenges and opportunities in the pervasive computing age. This age will be very interesting. In order to understand where high performance analytics or computing stands, one must see this video.

Interesting Observation About German National Football Team Under-17 Squad

Posted on 12/07/201115/07/2011 by Ugur

This is the top 6 Players from U 17 Squad in Germany. You might notice something really interesting in those players. This list was published in Bild. As being a fan of Bounce from Matthew Sayed and Outliers from Malcolm Gladwell, I wonder what those writers think about this overwhelming statistics. Some Asked for the stas: 4 turkish, 1 Greek, 1 German back ground in the top 6 players. Kanat Ozturan From www.cozydays.com your comment…

Eyes on The Future – What US Citizens Think The World is Going in 40 Years

Posted on 07/07/201113/08/2011 by Ugur

In US Optimism for A Better Future Decreased from 81% to 64%

Home Made Super Computer

Posted on 18/06/201113/08/2011 by Ugur

Integrating CUDA into a Large-Scale Commercial Database Management System Richard Wilton, Tamas Budavari, Alex Szalay – The Johns Hopkins University In a large-scale database installation where data tables are distributed across multiple servers, computational throughput can be optimized by using GPUs on each server and integrating database management with GPU resources. In the Department of Physics and Astronomy at The Johns Hopkins University, we are experimenting with a set of software tools that closely couple SQL statements…

What is Next for CPU?

Posted on 18/06/201118/06/2011 by Ugur

Power Wall+ Memory Wall + ILP (Instruction level parallelism) Wall= Brick Wall There are two ways to scale speed by a factor x. Scale the number of (running) cores by x Power will scale by the same factor x Scale the clock frequency f and voltage V by x Dynamic power will scale by x to the power 3 (CV2f ) Static power will scale by x (Vileakage) Total power lies somewhere in between Clock scaling is worse…

Application Massive Parallel Computing: Heart Surgery By A Robot Arm

Posted on 18/06/201113/08/2011 by Ugur

Heart Surgery with Robot Arm Amazing video about new generation surgery. On other thing about this type of surgery is the computational power that is embeded in the operating unit. Actually the heart is still beating and the unit has the ability to display the beating heard as a still surface. This is just possible by Parallel Processing in the GPU. Pealing a Grape

Exadata is Still Oracle

Posted on 14/06/201109/12/2018 by Ugur

View more from ugur candan. Oracle Exadata Database Machine – Storage, architecture, database machine Exadata for Datawarehousing – Why Exadata is not Not an Intelligent Storage Not Shared Anything Not enable High Concurrency Not support Active Datawarehousing Not provide Superior Query Performance Is Complex

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