Presentations

Presentations From Ugur Candan

How can a $35 book go upto $23,698,655.93 (plus $3.99 shipping) at AMAZON? Real Story !

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How can a $35 book go upto $23,698,655.93 (plus $3.99 shipping) at AMAZON? Real Story !

After a few days From http://www.michaeleisen.org/blog/?p=358  Michael Eisen’ Blog: “….But two questions remained. Why were they doing this, and how long would it go on before they noticed? As I amusedly watched the price rise every day, I learned that Amazon retailers are increasingly using algorithmic pricing (something Amazon itself does on a large scale), with a number of companies offering pricing algorithms/services to retailers. Both profnath and bordeebook were clearly using automatic pricing –…

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Transforming BI for Extreme DATA–Why is it relevant for Today? Why Today? IDC Business Intelligence Roadshow 2011

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Transforming BI for Extreme DATA–Why is it relevant for Today? Why Today? IDC Business Intelligence Roadshow 2011

IDC Business Intelligence Roadshow 2011 View more presentations from ugur candan. In this presentation I tried to explain why big data or extreme data problems are so trendy. There is a specific reason for this. For those who attended the event I hope it is clear. For those who have not attended you need to walk over the presentation to have an idea.

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Gamification of eEducation System: Where should we start?

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Gamification of eEducation System: Where should we start?

Gamification of eEducation View more presentations from ugur candan. Our current education system is engineered during the industrial revolution and have not seen radical changes ever since. With the emerging mobile technologies I do believe that the learning experience could dramatically change. The main problem is having a batch of students receiving the same educational curriculum.  1- Unfortunately the speed and the interest level of all students vary dramatically and without technological help it is…

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Home Made Super Computer

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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…

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What is Next for CPU?

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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…

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