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http://hdl.handle.net/11189/10629| Title: | High-level area estimation model for FPGA-based designs using LLVM | Authors: | Singh, Rachna Gupta, Gunjan |
Keywords: | FPGA;High-level synthesis;Design Space Exploration;Low-Level Virtual Machine | Issue Date: | 2025 | Publisher: | Macquarie University | Source: | Singh, R. & Gupta, G. 2025. High-level area estimation model for FPGA-based designs using LLVM. International Journal on Smart Sensing and Intelligent Systems, 18(1): 1-9. [https://doi.org/10.2478/ijssis-2025-0042] | Journal: | International Journal on Smart Sensing and Intelligent Systems | Abstract: | The functional segregation of a system into interacting hardware and software components needs estimation of the hardware area at an early design space exploration. However, the early estimation of design parameters from high-level programs is a time-consuming process, so a model is required for faster estimation of these parameters. This study presents a mathematical model for fast and accurate estimation of hardware area for implementations using the FPGAs family. In this study, a mathematical model is presented, which estimates the maximum number of LUTs and flip-flops consumed by different FPGAs. The input to this mathematical model is a high-level description in C language. The hardware synthesis of different FPGAs is done by using a low-level virtual machine (LLVM). The FPGAs used for the above work are Spartan 3E, Virtex-2pro, and Virtex-5, for which accuracy and run time for each model were determined. The results show that the estimation error for LUT is in the range of 1.11%–2.5% for Spartan 3E, 0.94%–2.4% for Virtex-2pro, and 1.32%–2.75% for Virtex-5. Similarly, the estimation error for flip-flops is in the range of 2.9%–4.9% for Spartan 3E, 3.2%–5.0% for Virtex-2pro, and 3.5%–5.2% for Virtex-5. | URI: | http://hdl.handle.net/11189/10629 | ISSN: | 1178-5608 | DOI: | https://doi.org/10.2478/ijssis-2025-0042 |
| Appears in Collections: | Eng - Journal articles (DHET subsidised) |
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| High_level_area_estimation.pdf | 741.88 kB | Adobe PDF | View/Open |
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