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Distinguished Professor
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Gao has devoted a majority of his research and academic activities in pursuing R&D in dataflow program execution models and architecture/compiler innovations. The work of Gao and his students have shown that the fundamental value of the dataflow model of computation in addressing the challenges and bottlenecks encountered in parallel computer systems under the classical von-Neumann architecture model. To this end, Gao has led a series of parallel architecture and system projects where various aspects of dataflow models are explored and realized in high-performance computers – ranging from innovations in programming paradigms, microarchitecture design, to system software technology (compilers, runtime, etc.) and multicore chip hardware design methodology. Gao has made unique and significant contributions in compiler techniques and microarchitectures for instruction-level and thread-level parallelism.
RESEARCH INTERESTS
High Performance Computing and Dataflow Models
Computer Architecture and Systems
Compilers Technology and Runtime Systems
Program mapping and optimization under dataflow models
RESEARCH INTERESTS
High Performance Computing and Dataflow Models
Computer Architecture and Systems
Compilers Technology and Runtime Systems
Program mapping and optimization under dataflow models
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