List of Interesting ideas and Views:
- Should Pragmatic Chaos or Epagogix determine future of our human entertainment?
- How can a $35 book go upto $23,698,655.93 (plus $3.99 shipping) at AMAZON? Real Story !
- How Computing Power changes the way stock markets run? Impact of Algo Trading and High Frequency Trading (HFT)
- Creating a mash up between SAP HANA and SAP ERP using Visual Composer
- Transforming BI for Extreme DATA–Why is it relevant for Today? Why Today? IDC Business Intelligence Roadshow 2011
- Gamification of eEducation System: Where should we start?
- in-memory Database: Why is it relevant for Today? Why Today?
- Real SAP HANA Customer Performance Test Case I (from Turkey)
- Can Oscar Pistorius or His Next Versions Beat Able-Bodied?
- 100% Open Source Project from Mick Ebeling – The EyeWriter
- Ubuntu Natty Installation with Remote Desktop Access from Windows with Nomachine at Amazon AWS Cloud for Free
- Video: Evolution of A New Architecture SAP HANA
- See How SAP co-CEO Bill uses his iPAD for Analysing Real SAP data in Real Time
- What is SAP HANA? Why is SAP HANA a Game Changer? What Drives in-memory Computing?
- In-memory Database Systems: Hype or Reality?
SAP Solution Portfolio in 90 Seconds by Ugur Candan
I hope you will enjoy ! SAP Solution Portfolio in 90 Seconds from ugur candan on Vimeo.
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