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- W2940697776 abstract "Nowadays, FPGA Placement problems have become more complicated since they need to account area constraint and time constraint. Placement is still one of the most difficult problems as the FPGA designs become larger and more complex. As FPGAs are programmable in nature they are an ideal fit for many different markets such as Aerospace, Defense, Audio, Automotive, Broadcast, Industrial, Medical, Security, Video & Image Processing, Wired & Wireless communications. Also, FPGA is becoming popular among big companies and researchers who apply FPGA to highperformance computing and deep learning as it provides better performance, flexible programmability, better cost, etc. In this paper, we present a Tree-based placement algorithm for Homogeneous FPGAs. By applying our algorithm on a set of benchmark circuits we have effectively reduced the placement cost. We have compared results with VPR that uses Simulated annealing approach and our results are comparatively better." @default.
- W2940697776 created "2019-05-03" @default.
- W2940697776 creator A5014360749 @default.
- W2940697776 date "2018-08-01" @default.
- W2940697776 modified "2023-10-16" @default.
- W2940697776 title "Placement Solution for Homogeneous FPGA Using Tree-Based Algorithm" @default.
- W2940697776 cites W2111104699 @default.
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- W2940697776 doi "https://doi.org/10.1109/iccubea.2018.8697645" @default.
- W2940697776 hasPublicationYear "2018" @default.
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