Hybrid Sequential-Spatial
Computers with Unified Instruction Set Architectures
Tuesday April 27, 2004
Hamerschlag Hall D-210
4:00 pm
Brian Van Essen & Benjamin
Ylvisåker
Carnegie Mellon University
Existing spatial engines (e.g. FPGAs, PipeRench) have been shown to
provide radical speedup in several application domains, but are difficult
to integrate into full system applications. Hybrid computer architectures
seek to combine the power of spatial computing engines with the flexibility
of sequential processors. The difference between the spatial and sequential
programming models limits the success of current efforts. Our research
focuses on creating unified architectures and programming models for
hybrid microarchitectures.
Brian Van Essen is a Ph.D. candidate in Electrical and Computer Engineering
at CMU. After attempting several startups in reconfigurable processing
he decided that hybrid computer architecture research was best pursued
in the academic community. As a result of his advisor leaving, he will
be continuing his Ph.D. work at the University of Washington. He received
his M.S. and B.S. in 1999 from Carnegie Mellon University.
Benjamin Ylvisåker is part Ph.D. student, part M.S. student in
the Department of Electrical and Computer Engineering at Carnegie Mellon
University. After misplacing his advisor, he decided to cut his losses
and complete his studies at a school closer to an ocean. With any luck
Dave will bring some cookies to our seminar, too.
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