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cs.AR2025
Hamun: An Approximate Computation Method to Prolong the Lifespan of ReRAM-Based Accelerators
Mohammad Sabri, Marc Riera, Antonio Gonzalez
ReRAM-based accelerators exhibit enormous potential to increase computational efficiency for DNN inference tasks, delivering significant performance and energy savings over traditi…
cs.AR2024
ARAS: An Adaptive Low-Cost ReRAM-Based Accelerator for DNNs
Mohammad Sabri, Marc Riera, Antonio González
Processing Using Memory (PUM) accelerators have the potential to perform Deep Neural Network (DNN) inference by using arrays of memory cells as computation engines. Among various m…
cs.AR2023
ReDy: A Novel ReRAM-centric Dynamic Quantization Approach for Energy-efficient CNN Inference
Mohammad Sabri, Marc Riera, Antonio González
The primary operation in DNNs is the dot product of quantized input activations and weights. Prior works have proposed the design of memory-centric architectures based on the Proce…