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GPU vs FPGA Performance Comparison - BERTEN

BWP001 BERTEN DSP 1 19/05/2016 BWP001 WHITE PAPER GPU vs FPGA Performance Comparison Image processing, Cloud Computing, Wideband Communications, Big Data, Robotics, High-definition , most emerging technologies are increasingly requiring processing power capabilities. The technology selection for each application is a critical decision for system designers. Being GPU power the conservative approach to scale processing capacity, using FPGA for software acceleration is becoming the best option for an increasing number of applications. This paper evaluates the 2016 s state-of-the-art technology for both GPU and FPGA devices, and performs a qualitative and quantitative Comparison . The analysis must be considered as a preliminary guideline for technology selection.

trade-off, but also for a reasonable price comparison. Table 3 shows a selection of Xilinx 7-Series devices, including Zynq and representative FPGA integrated circuits. Zynq SoC combines the flexibility of a CPU with the processing power of the FPGA, lowering the entry barrier for software acceleration using programmable logic.

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