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Lecture 1:

Room F11, Wednesday, May 2, 11.15-12.00

Lecture 2:

Room F11, Thursday, May 3, 11.15-12.00


Scalable memory machines


Distributed memory computers provide scalable memory and – hopefully – scalable performance. Over two lectures, I’ll present the principles and practice of applying scalable memory machines to solve scientific problems and describe my current research in addressing the challenges entailed in highly scalable computing.


Prof. Baden received his M.S and PhD in Computer Science from UC Berkeley in 1982 and 1987. He is also Adjunct Professor in the Department of Computer Science and Engineering at UCSD, where he was a faculty member for 27 years. His research interests are in high performance and scientific computation: domain specific translation, abstraction mechanisms, run times, and irregular problems. He has taught parallel programming at both the graduate and undergraduate level at UCSD and at the PDC Summer School.