Ronald Reagan Building and International Trade Center
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September 9-11, 2003
Seminars
Maya Gokhale
Dr. Maya Gokhale's contributions to the high performance computing community have been in developing programming models, languages, and software systems for novel high performance embeddable architectures. She has led programming language and compiler projects for Dataflow machines, Processing in Memory Arrays, and, most recently, Reconfigurable Computers (RCC). She was among the first in the RCC community to develop language constructs and a compiler for hybrid chip containing both reconfigurable logic as well as a conventional RISC processor.
Most recently, her team has developed a language and compiler targeting embedded systems composed of heterogeneous RCC/conventional processors. She is principal inventor on two patents being filed for innovations in compiling for RCC devices. In addition to her RCC research, she developed systems software tools for cluster computing that have been used for astrophysics simulations.
Gokhale's career experiences span computer companies (Burroughs and Hewlett-Packard), academia, and government-sponsored research institutes. In industry, she developed compilers for embedded systems. Gokhale was Assistant Professor at the University of Delaware from 1983-1988, where she won NSF funding for parallel processing research. From 1988 to 1994, Gokhale was Research Staff Member at IDA
Supercomputing Research Center in Bowie, MD. She has been an active researcher in Reconfigurable Computing and Parallel Languages. As Head of the Advanced Computing and Networks group at the Sarnoff Corporation from 1994-1999, Gokhale developed a DARPA-sponsored research program in compiler tools for reconfigurable computers. Gokhale is presently a Project Leader of Deployable Adaptive Processing Systems (DAPS) in the Space Data Systems Group at Los Alamos National Laboratory. She was PI of a DARPA-sponsored Adaptive Computing Systems program and is currently PI of a DARPA-sponsored Power Aware Computing program as well as Project Leader of the DOE Deployable Adaptive Processing Systems (DAPS) project.
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