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cs.AR2025
AxLLM: accelerator architecture for large language models with computation reuse capability
Soroush Ahadi, Mehdi Modarressi, Masoud Daneshtalab
Large language models demand massive computational power and memory resources, posing significant challenges for efficient deployment. While quantization has been widely explored t…
cs.AR2024
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
Mahdi Taheri, Natalia Cherezova, Mohammad Saeed Ansari +4
The stringent requirements for the Deep Neural Networks (DNNs) accelerator's reliability stand along with the need for reducing the computational burden on the hardware platforms,…