Automotive Science and Engineering

en Deep Learning-Based Cache Configuration Prediction for Field Programmable Gate Array-Accelerated Smart Vehicles خودروهای خودران Autonomous vehicles پژوهشي Research This paper presents a machine-learning framework for cache-configuration prediction in embedded Field Programmable Gate Array (FPGA) systems, with a particular focus on smart-vehicle and resource-constrained computing applications. The proposed method formulates cache tuning as a regression problem and predicts the number of sets, associativity, and block size from memory-access traces together with FPGA resource budgets. Unlike classification-based approaches limited to predefined cache classes, the proposed CNN–LSTM model supports continuous cache-space exploration and produces hardware-feasible configurations after discretization. Experimental results on MachSuite, PolyBench, and CHStone benchmarks demonstrate effective generalization to unseen workloads, achieving a validation MAE of 0.085 and a test-set miss-rate MAE of 0.064. On a Xilinx Zynq-7020 target, the predicted configurations reduced average CLB utilization from 19.13% to 15.38% of available resources, increased BRAM utilization from 59.86% to 70.00%, and lowered estimated on-chip power from 0.201 W to 0.196 W under XPE-based pre-implementation analysis. These results indicate that the proposed approach can significantly reduce the cost of exhaustive design-space exploration while preserving cache performance and hardware efficiency, making it a promising solution for embedded FPGA platforms used in smart-vehicle systems. Smart Vehicles , Cache Design, FPGA ,Deep Learning 5161 5177 http://ase.iust.ac.ir/browse.php?a_code=A-10-883-1&slc_lang=en&sid=1 Mohamad Cheshfar m.cheshfar@sru.ac.ir No Shahid Rajaee Teacher Training University MOHAMMAD HOSSEIN MAGHAMI mhmaghami@sru.ac.ir Yes Shahid Rajaee Teacher Training University HOSSEIN GHARAEE GARAKANI, hgharae@itrc.ac.ir No ICT Research Institute PARVIZ AMIRI pamiri@sru.ac.ir No Shahid Rajaee Teacher Training University