11 citations · 15 across the 4 of their papers we have counts for
4 papers
FORTALESA: Fault-Tolerant Reconfigurable Systolic Array for DNN Inference
Natalia Cherezova, Artur Jutman, Maksim Jenihhin
The emergence of Deep Neural Networks (DNNs) in mission- and safety-critical applications brings their reliability to the front. High performance demands of DNNs require the use of…
AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators
Mahdi Taheri, Natalia Cherezova, Samira Nazari +6
In this paper, we propose an architecture of a novel adaptive fault-tolerant approximate multiplier tailored for ASIC-based DNN accelerators.
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,…
HLS-based Optimization of Tau Triggering Algorithm for LHC: a case study
Natalia Cherezova, Dmitri Mihhailov, Sergei Devadze +1
With the current increase in the data produced by the Large Hadron Collider (LHC) at CERN, it becomes important to process this data in a corresponding manner. To begin with, to ef…