Electrical Engineering Seminar

“The Emu Migratory Thread Architecture”

Speaker: Marty Deneroff 
Chief Operating Officer, Emu Technology

Abstract: Emu Technology has developed a new computer architecture specifically aimed at efficient operation on large graphs and sparse matrices. It is based on the premise that, for big / sparse data, it is preferable to move the site of program execution to the locale of the data, rather than moving the data to the node where the program thread is executing. This talk will explain the motivations for this choice, describe the computer architecture that Emu has developed to implement the premise, and discuss the approaches and tradeoffs used in the implementation.

Speaker bio: Marty Deneroff is the Chief Operating Officer of Emu Technology, Inc. Marty has spent most of his career in advanced computer architecture, particularly in the area of shared memory multiprocessors. His experience includes VP Server and Micro-Processor Engineering at SGI where he was responsible for delivering SGI’s Distributed Shared Memory computers, and VP Engineering at D.E. Shaw Research where he was responsible for the development of the Anton molecular dynamics simulation engine.  Marty has 30+ yrs. experience in the computer industry in a variety of capacities, and holds over twenty patents in various aspects of multiprocessor systems. He holds a BSEE from MIT and an MSCS from Monmouth University.

Hosted by: Jakub Szefer & Richard Lethin

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