Computer Systems Laboratory Colloquium (2006-2007, Stanford University)

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source: Stanford     Last updated on 2014年6月8日
EE 380: Computer Systems Laboratory Colloquium is a Stanford University course that features weekly speakers on current research and developments in computer systems. Topics touch upon all aspects of computer science and engineering including logic design, computer organization and architecture, software engineering, computer applications, public policy, and the social, business, and financial implications of technology. Frequently the Colloquium provides the first public forum for discussion of new products, discoveries, or ideas. This playlist consists of seminar speakers recorded during the 2006-2007 academic year.

Future Evolution of High-Performance Microprocessors 1:02:02
New Architectures for a New Biology 1:23:35
Measurements vs. Bits: Compressed Sensors and Info Theory 1:16:32
A Structured Orchestration Language 1:18:17
Stream Computing 1:22:29
The Need, Evolution, and Detail of WLAN Security 1:14:10
25 Years at PDI 1:11:08
Computing on the GPU 1:19:17
Flash Player ActionScript Virtual Machine 1:20:03
The United Communication Transformation 1:10:46
What the Second Generation Holds 1:12:21
Expanding the Mobile Consumer Software Market 1:17:44
Computer Architecture is Back: Parallel Computing Landscape 1:14:35
Design for Yield / Design for Manufacturing 1:17:27
Building Your Own Dynamic Language 1:14:32
A Fast Wait-Free Hash Table 1:17:28
An Ultrafast Optical Digital Technology Smart Light 1:05:02
VoIP Encryption in a Surveillance Society 1:15:44
A New Balancing Method for Solving Parametric Max Flow 56:38
Nanomanufacturing Technologies 1:11:33
Software Not Provided: Supporting Communities and Democracy 1:10:23
New Directions in Multiprocessor Synchronization 1:10:28
An App Developer's View of Next Gen Systems Enablement 1:16:57
Stream Programming: Multicore Made Practical 1:11:30
Off-the-Record Messaging: Useful Security and Privacy for IM 1:20:42
Energy Harvesting for Wireless Sensors 1:19:45
Botnets: Anticipating Failure 1:19:43