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Despite the significant advancements that have been made in High Level Synthesis, the reconfigurable computing community has not yet managed to achieve a wide-spread use of Field Programmable Gate Arrays (FPGAs) by programmers. Existing barriers that prevent programmers from using FPGAs include the need to work within vendor specific CAD tools, knowledge of hardware programming models, and the requirement...
Modern platform FPGAs are sufficiently dense to allow the assembly of a complete chip heterogeneous multiprocessor systems on chip (CHMPs) within a single die. Based on CHMP, every research group that sets out to explore how an application can be accelerated on an FPGA platform must firstly integrate processors, buses, memories, and support IP components into a base architecture prior to beginning...
Gene expression programming (GEP) is a new evolutionary algorithm, which has the very good applications in the field of function finding. In view of the insufficiency of traditional GEP, this paper puts forward an improved gene expression programming algorithm based on hybrid strategy (HSI-GEP). This paper has two improvements: (1) using mirror and reset mechanism to replace the inferior individuals...
Emerging programming models for chip heterogeneous multiprocessor (CHMP) systems elevate architecture details up into the source code. This eliminates portability and requires designers to navigate a multidimensional search space when trying to optimize designs. In this paper, we present an approach that reinstates portability through a combination of polymorphic functions and an adaptive runtime...
FPGA densities have continued to follow Moore's law and can now support a complete multiprocessor system on programmable chip. The benefits of the FPGA include the ability to build a customized MPSoC system consisting of heterogeneous processing resources, interconnects and memory hierarchies that best match the requirements of each application. In this paper we outline a new approach that allows...
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