Alternative RAM Mapping Algorithm for Embedded Memory Blocks in FPGA
Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 3)Publication Date: 2018-08-02
Authors : Bhagyashree Ashok Gavhane Prashant Vitthalrao Kathole;
Page : 2542-2549
Keywords : Electronics & Communication Engineering;
Abstract
Contemporary ?eld-programmable gate array (FPGA) design requires a spectrum of available physical resources. As FPGA logic capacity has grown, locally accessed FPGA embedded memory blocks have increased in importance. When targeting FPGAs, application designers often specify high-level memory functions, which exhibit a range of sizes and control structures. These logical memories must be mapped to FPGA embedded memory resources such that physical design objectives are met. In this paper, a set of power efficient logical-to-physical RAM mapping algorithms is described, which converts user de?ned memory speci?cations to on-chip FPGA memory block resources. These algorithms minimize RAM dynamic power by evaluating a range of possible embedded memory block mappings and selecting the most power-ef?cient choice. Our automated approach has been validated with both simulation of power dissipation and measurements of power dissipation on FPGA hardware. A comparison of measured power reductions to values determined via simulation con?rms the accuracy of our simulation approach. Our power-aware RAM mapping algorithms have been integrated into a commercial FPGA compiler and tested with 34 large FPGA benchmarks. Through experimentation, we show that, on average, embedded memory dynamic power can be reduced by 26% and overall core dynamic power can be reduced by 6% with a minimal loss (1%) in design performance. In addition, it is shown that the availability of multiple embedded memory block sizes in an FPGA reduces embedded memory dynamic power by an additional 9.6% by giving more choices to the computer-aided design algorithms. Bhagyashree Ashok Gavhane | Prashant Vitthalrao Kathole"Alternative RAM Mapping Algorithm for Embedded Memory Blocks in FPGA" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd7172.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7172/alternative-ram-mapping-algorithm-for-embedded-memory-blocks-in-fpga/bhagyashree-ashok-gavhane
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Last modified: 2018-08-03 20:34:59