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History of Facebook Ads
Month: June 2011
Which Bora is Better ?
SAP Solution Portfolio in 90 Seconds by Ugur Candan
Home Made Super Computer
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?
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
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
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
2 Billion Records Point of Sales Data on iPad with SAP HANA
Sybase Adaptive Server Enterprise (ASE) 15.5 Performance Evaluation using Fusion-io Solid State Memory
In a system experiencing data growth, when cache sizes are insufficient to store most hot tables and indexes, moving all data and logging to an SSD device increases performance throughput up to 13X