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cs.AR2025
Efficient Deployment of CNN Models on Multiple In-Memory Computing Units
Eleni Bougioukou, Theodore Antonakopoulos
In-Memory Computing (IMC) represents a paradigm shift in deep learning acceleration by mitigating data movement bottlenecks and leveraging the inherent parallelism of memory-based…
cs.AR2025★ 2 cited
A Scalable FPGA Architecture With Adaptive Memory Utilization for GEMM-Based Operations
Anastasios Petropoulos, Theodore Antonakopoulos
Deep neural network (DNN) inference relies increasingly on specialized hardware for high computational efficiency. This work introduces a field-programmable gate array (FPGA)-based…