Dataflow based Near Data Computing Achieves Excellent Energy Efficiency
Charles Shelor, Krishna M. Kavi · 2017
The emergence of 3D-DRAM has rekindled interest in near data computing (NDC) research. This article introduces dataflow processing in memory (DFPIM) which melds near data computing, dataflow architecture, coarse-grained reconfigurable logic (CGRL), and 3D-DRAM technologies to provide high performance and very high energy efficiency for stream oriented and big data application kernels. The application of dataflow architecture with a CGRL implementation provides a flexible, energy efficient computing platform. The initial evaluation presented in this paper shows an average speedup of 5.5 is achieved with an energy efficiency factor of 460.