List of Interesting ideas and Views:
- What Shazam and Cortexica can not survive without !
- Why can’t we deliver an open source Science and Technology project in Turkey?
- Drifting Fish Farms Hawaii Big Island – Exprience for Turkey
- Coca-Cola Adjust Taste of Orange Juice by Secret Algorithm (Black Book)
- How does 2013 Budget look like in Turkey?
- Model Yacht Coming Back To Life with Remote Control
- 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)
Which Bora is Better ?
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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. Related posts: Ugur Candan on CNN Turk about SAP Ugur Candan Radio Ugur Candan Robot ! (The new generation marketing) Art: Pencil Drawn Bora Ugur and Guney Moonshots for SAP – Where does S/4 HANA drive your company?
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...