Lecture Michael Flynn: Dataflow Engines in High Performance Computing Friday, May 3rd, 2013 LRZ Hoersaal H.E.009 Abstract: Achieving parallel processor speedup (n times speedup with n processing elements) has been difficult for a broad class of applications. The problem is not technology but programming models. One answer to this speedup problem is to create an idealized data flow machine that exactly corresponds to the application and stream data through the resulting machine. In the dataflow paradigm an application is considered as a dataflow graph of the executable actions.. The extraordinary density achieved by FPGAs allows emulations of the application dataflow machine, providing more than an order of magnitude speedup even as executed as an emulation of the data flow machine. Michael Flynn received his Ph.D. from Purdue University in 1961. He joined IBM in 1955 and for ten years worked in the areas of computer organization and design. He was design manager of prototype versions of the IBM 7090 and 7094/II, and later for the System 360 Model 91 Central Processing Unit. Between 1966 and 1974 Prof. Flynn was a faculty member of Northwestern University and the Johns Hopkins University. In 1975 he became Professor of Electrical Engineering at Stanford University, and was Director of the Computer Systems Laboratory from 1977 to 1983. He was founding chairman of both the ACM Special Interest Group on Computer Architecture and the IEEE Computer Society's Technical Committee on Computer Architecture. Prof. Flynn was the 1992 recipient of the ACM/IEEE Eckert-Mauchley Award for his technical contributions to computer and digital systems architecture. He was the 1995 recipient of the IEEE-CS Harry Goode Memorial Award in recognition of his outstanding contribution to the design and classification of computer architecture. In 1998 he received the Tesla Medal from the International Tesla Society (Belgrade), and an honorary Doctor of Science from Trinity College (University of Dublin), Ireland. He is the author of three books and over 250 technical papers. This information is also available on our web server http://www.lrz-muenchen.de/aktuell/ali4569/ Ludger Palm