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- W2999363443 abstract "In the world of High Definition (HD) imaging and real-time video streaming and analytics, the size of video capture and speed of processing devices has always been a challenge, particularly for resource-constrained platforms. These limitations are often referred to as Size, Weight, and Power (SWaP) constraints. With the advancements in computer architecture and algorithm design, the paradigm of Approximate Computing has recently gained popularity among researchers, since it offers significant performance gains for error-tolerant applications, including video and image processing. Approximate Computing compromises on accuracy of processed results while gaining noteworthy advantages on the SWaP index, thus delivering an approximate (yet acceptable) result faster and that too, by consuming lesser hardware resources. In this research, we present a novel approximate adder design methodology for FPGA-based systems with improved accuracy and speed indices, while maintaining the SWaP advantages. Our proposed methodology fine tunes the long carry chain in light of FPGA hardware architecture, to achieve an overall optimization with a single Look-Up Table (LUT) delay only, irrespective of the operands' size. We present multiple variants of proposed designs with varying tradeoffs between implementation size vs accuracy trade-off, as required by target application. We have further applied this improved atomic arithmetic block into dense computational imaging applications, such as 2-dimensional Discrete Cosine Transform (DCT), to verify the performance of the proposed modules at system level. Our results exhibit promising potential for the proposed design in high-accuracy and real-time applications." @default.
- W2999363443 created "2020-01-23" @default.
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- W2999363443 date "2019-11-01" @default.
- W2999363443 modified "2023-09-23" @default.
- W2999363443 title "A Novel Approximate Adder Design Methodology with Single LUT Delay for Fault-tolerant FPGA-based Systems" @default.
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- W2999363443 doi "https://doi.org/10.1109/intellect47034.2019.8955460" @default.
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