This is a short film (a fast paced preview of a larger effort) by MAYA Design created to put some perspective on the invisible but fast approaching challenges and opportunities in the pervasive computing age. This age will be very interesting. In order to understand where high performance analytics or computing stands, one must see this video.
Read MoreIdeas
Ideas
Eyes on The Future – What US Citizens Think The World is Going in 40 Years
History of Facebook Ads
From: http://7.mshcdn.com/wp-content/uploads/2011/06/mashable-infographics-facebook-advertising-902.jpg
Read MoreWhich 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…
Read MoreWhat 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…
Read MoreApplication 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
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