"Lec 11 - Computing in Transition" February 20, 2008 lecture by Nick Tredennick for the Stanford University Computer Systems Colloquium (EE 380). Nick Tredennick talks about the semiconductor industry and its impact in the world. He takes the audience through the history of semiconductors and where he believes they are heading in the future as well as the economics of its development and the shrinking market for cutting edge technological growth. EE 380 | Computer Systems Colloquium: http://www.stanford.edu/class/ee380/ Stanford Computer Systems Laboratory: http://csl.stanford.edu/ Stanford Center for Professional Development: http://scpd.stanford.edu/ Stanford University Channel on YouTube: http://www.youtube.com/stanforduniversity
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Channels: Computer Science
Tags: Computer science software engineering programming technology semiconductor processor transistor efficiency moore's law
Uploaded by: stanfordcompsys ( Send Message ) on 03-09-2012.
Duration: 68m 49s
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Lec 1 - The PeakStream Platform for Many-Core Computing
Lec 2 - Programmable Micofluidics
Lec 3 - Open Source Study: Analytics, Economics & Best Practices
Lec 4 - Self-Improving Artificial Intelligence
Lec 5 - The Challenges of Implementing MatlabĀ®
Lec 6 - Parallel Programming 2.0
Lec 7 - On the Road to Computer Literacy
Lec 8 - Android: Building a Mobile Platform to Change the Industry
Lec 9 - Science Communication, Science Literacy and Public Support
Lec 10 - Tracking the Internet into the 21st Century
Lec 12 - Scalable Parallel Programming with CUDA on Manycore GPUs
Lec 14 - CMOS Process Variations: A Critical Operation Point Hypothesis
Lec 15 - Demonstration of Brain Computer Interface Using the Emotive Epoc
Lec 16 - A Head in the Cloud: The Power of Infrastructure as a Service
Lec 17 - Distributed Systems: Computation With a Million Friends
Lec 18 - Dynamic Languages Strike Back
Lec 19 - The Challenge of Small Form Factor: The ASUS Eee PC
Lec 20 - Spookytechnology and Society
Lec 21 - The Search for Jim Gray
Lec 22 - The Role of Accelerated Computing in the Multi-Core Era