List of Interesting ideas and Views:
- Reinventing Your Company
- The Moment at its Best Visual Form
- Combination of in-Memory R and SAP HANA: Complex Analytics at Speed of Tought
- Top Five Things to Consider in Mobile Era: Benchmark Your Company !
- Algorithms and Sex Appeal: Could algorithms work for Sex Appeal? Can you look more sexy if you know some Mathematics?
- Complex Event Processing and Carrier Hotel New York City – What do they have in common?
- 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?
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
2 Billion Records Point of Sales Data on iPad with SAP HANA
2 Billion Records Point of Sales Data on iPad with SAP HANA
Next Generation Dashboard Technologies
Create Dashboard with SAP Dashi. It is a game
