DATE: Thursday , October 18, 2001
TIME: Noon - 1 pm
PLACE: Newell Simon Hall 3305

Yale Patt
University of Texas at Austin

Moore's Law: Is it Time to Just Give Up and Work on Easier Problems?

Moore's Law has been misused to predict just about every metric imagineable when it comes to future microprocessors. Regarding technology, there seems to be no problem -- very soon one billion transistors on a die, and geometries that allow a dozen gate delays within a 10GHz clock. Regarding performance, on the other hand, there are plenty of nay-sayers who are recommending we pack it in and give up. In this talk, we will explore what the naysayers are saying and whether or not we should listen. We will also discuss some of the avenues that could prove fruitful in keeping us on the curve of Moore's Law with respect to performance. Per usual, the talk will undoubtedly be laced with digressions, based on questions from the audience or some random thoughts that occur to the speaker.

Yale Patt is a teacher at The University of Texas at Austin. He has obtained the right set of appropriate degrees from reputable universities, and more than enough awards for his research and teaching. He is best known for having had Garth Gibson, Greg Ganger and Dave Nagle in class. Fortunately for him, no two of them were in his class at the same time. More detail is available on his web page:

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