10.1109/ISLPED.2013.6629290Proceedings of the International Symposium on Low Power Electronics and Design175-18
In this paper, we propose a Bayesian branch-prediction circuit, consisting of an instruction-feature...
Power density constraint and device reliability issues are driving energy efficient, fault tolerant ...
Analogue in-memory computing and brain-inspired computing based on the emerging memory technology ...
Recently, the discovery of memristor brought the promise of high density, low energy, and combined m...
Accurate branch prediction is essential for modern microprocessors in order to maintain high in-stru...
Analog switching memristive devices can be used as part of the acceleration block of Neural Network...
This paper contributes to a dynamic branch predictor algorithm based on a perceptron in two directio...
The advancements in the field of Artificial Intelligence (AI) and technology has led to an evolution...
Microarchitectural prediction based on neural learning has received increasing attention in recent y...
Artificial neural networks (ANN) are well known for performing Recognition, Data mining and Synthesi...
This research shows that using an Artificial Neural Network as the hardware branch predictor of a su...
Memristive electronic synapses are attractive to construct artificial neural networks (ANNs) for neu...
Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasi...
This article presents a new and highly accurate method for branch prediction. The key idea is to use...
Artificial neural networks are successfully used for classification, prediction, estimation, modelin...
In this paper, we propose a Bayesian branch-prediction circuit, consisting of an instruction-feature...
Power density constraint and device reliability issues are driving energy efficient, fault tolerant ...
Analogue in-memory computing and brain-inspired computing based on the emerging memory technology ...
Recently, the discovery of memristor brought the promise of high density, low energy, and combined m...
Accurate branch prediction is essential for modern microprocessors in order to maintain high in-stru...
Analog switching memristive devices can be used as part of the acceleration block of Neural Network...
This paper contributes to a dynamic branch predictor algorithm based on a perceptron in two directio...
The advancements in the field of Artificial Intelligence (AI) and technology has led to an evolution...
Microarchitectural prediction based on neural learning has received increasing attention in recent y...
Artificial neural networks (ANN) are well known for performing Recognition, Data mining and Synthesi...
This research shows that using an Artificial Neural Network as the hardware branch predictor of a su...
Memristive electronic synapses are attractive to construct artificial neural networks (ANNs) for neu...
Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasi...
This article presents a new and highly accurate method for branch prediction. The key idea is to use...
Artificial neural networks are successfully used for classification, prediction, estimation, modelin...
In this paper, we propose a Bayesian branch-prediction circuit, consisting of an instruction-feature...
Power density constraint and device reliability issues are driving energy efficient, fault tolerant ...
Analogue in-memory computing and brain-inspired computing based on the emerging memory technology ...
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