"Lec 5 - The Challenges of Implementing Matlab®" October 31, 2007 lecture by Randy Allen for the Stanford University Computer Systems Colloquium (EE 380). Some of the compiler optimization challenges presented by a naturally-interpreted, dynamically-typed, vector-centric language such as MATLAB, and how compiler theory can be both extended or stretched to accommodate these overly-hyphenated challenges are discussed. 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 design application Randy Allen Matlab compiler optimization
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Duration: 79m 51s
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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 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 11 - Computing in Transition
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