2022
DOI: 10.3390/electronics11223756
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FLIA: Architecture of Collaborated Mobile GPU and FPGA Heterogeneous Computing

Abstract: Accelerators, such as GPUs (Graphics Processing Unit) that is suitable for handling highly parallel data, and FPGA (Field Programmable Gate Array) with algorithms customized architectures, are widely adopted. The motivation is that algorithms with various parallel characteristics can efficiently map to the heterogeneous computing architecture by collaborated GPU and FPGA. However, current applications always utilize only one type of accelerator because the traditional development approaches need more support f… Show more

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