"Lec 13 - Computer Architecture is Back: Parallel Computing Landscape" January 31, 2007 lecture by Dave Patterson for the Stanford University Computer Systems Colloquium (EE 380). A diverse group of UC Berkeley researchers from many backgrounds - circuit design, computer architecture, massively parallel computing, computer-aided design, embedded hardware and software, programming languages, compilers, scientific programming, and numerical analysis - met for nearly two years to discuss parallelism from these many angles. 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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Uploaded by: stanfordlabcoll ( Send Message ) on 14-09-2012.
Duration: 74m 35s
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Lec 1 - Future Evolution of High-Performance Microprocessors
Lec 2 - New Architectures for a New Biology
Lec 3 - Measurements vs. Bits: Compressed Sensors and Info Theory
Lec 4 - A Structured Orchestration Language
Lec 6 - The Need, Evolution, and Detail of WLAN Security
Lec 9 - Flash Player ActionScript Virtual Machine
Lec 10 - The United Communication Transformation
Lec 11 - What the Second Generation Holds
Lec 12 - Expanding the Mobile Consumer Software Market
Lec 14 - Design for Yield / Design for Manufacturing
Lec 15 - Building Your Own Dynamic Language
Lec 16 - A Fast Wait-Free Hash Table
Lec 17 - An Ultrafast Optical Digital Technology Smart Light
Lec 18 - VoIP Encryption in a Surveillance Society
Lec 19 - A New Balancing Method for Solving Parametric Max Flow
Lec 20 - Nanomanufacturing Technologies
Lec 21 - Software Not Provided: Supporting Communities and Democracy
Lec 22 - New Directions in Multiprocessor Synchronization
Lec 23 - An App Developer's View of Next Gen Systems Enablement
Lec 24 - Stream Programming: Multicore Made Practical
Lec 25 - Off-the-Record Messaging: Useful Security and Privacy for IM
Lec 26 - Energy Harvesting for Wireless Sensors