编辑才信任 发表于 2025-3-28 17:11:59
http://reply.papertrans.cn/17/1604/160361/160361_41.png最低点 发表于 2025-3-28 21:10:16
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http://reply.papertrans.cn/17/1604/160361/160361_43.png宇宙你 发表于 2025-3-29 04:37:08
Erfolgsfaktor Alleinstellungsmerkmalware approximations strongly depend on input data. In this work, a statistical formulation is employed to capture input dependency and analytically estimate quality using one-time profiling only. Energy and performance savings due to approximations strongly depend on operation scheduling and bindingOVER 发表于 2025-3-29 10:21:17
http://reply.papertrans.cn/17/1604/160361/160361_45.pngungainly 发表于 2025-3-29 12:42:55
https://doi.org/10.1007/978-3-8349-6473-1r and precision reduction and memory approximations at the hardware layer. Towards the end of this chapter, we also highlight few of the prominent challenges in adopting different types of approximation and the effects that they have on the overall efficiency and accuracy of the baseline networks.innovation 发表于 2025-3-29 19:35:38
http://reply.papertrans.cn/17/1604/160361/160361_47.pngEXPEL 发表于 2025-3-29 21:04:51
Jan Lies,Ulrike Volejnik,Steffen Mörbech typically target individual algorithms, this chapter explores a complex software/hardware pipeline system for iris code computation from live camera feed using an FPGA-based SoC. Our flow consists of four major algorithms, through which eight approximation knobs are identified for accuracy versus不整齐 发表于 2025-3-30 03:02:33
http://reply.papertrans.cn/17/1604/160361/160361_49.png表主动 发表于 2025-3-30 06:42:17
Approximate Multipliers and Dividers Using Dynamic Bit Selections highly scalable to higher input sizes, and offers a wide range of accuracy hardware cost trade-offs. We evaluate our methodology with an approximate multiplier and approximate divider and highlight the significant benefits achieved, using both stand-alone and in application experiments.