OneSpot SXSW 2010 Panel Voting - Cloud City: Parallel Computing For Everyone

August 26 2009, 7:00am

Our final panel to profile is a technology panel: Cloud City: Parallel Computing For Everyone.

Panel Description

“Machine learning” once implied PhD’s and racks of servers. No more. With projects like EC2, Hadoop and Mahout, and accessible texts lining bookstore shelves, advanced distributed computing techniques are mainstream. After introducing the basics of map/reduce and collaborative filtering, we will ponder the possibilities of web-scale computing for everyone.

Possible Panelists

Mason Hale, CTO of OneSpot

Senior Representative - Last.fm

Senior Representative - Powerset

Senior Representative - Hadoop

    Senior Representative - Mahout/li>

Senior Representative - Amazon

Senior Representative - Google

Questions this panel will answer

   1. What is cloud computing? 
   2. What is Map/Reduce?  
   3. What is Hadoop? 
   4. What is “machine learning”? 
   5. How easy is it to setup a cluster of servers in Amazon’s elastic computing cloud (EC2)?  
   6. What problems is map/reduce well-suited to solving? 
   7. What problems is map/reduce NOT well-suited to solving? 
   8. Can Hadoop replace my relational database?  
   9. What are some good resources to learn more about cloud computing? 
  10. What sorts of changes and opportunities can we anticipate from everyone having easy and cheap access to massive parallel computing power?

VOTE FOR THIS PANEL

We are so excited to plan this panel and the other 6 we have submitted. We hope you like them enough to vote and attend! Voting ends September 4th!

See you at SXSW 2010 and thanks for your support!