An unaltered rearrangement of the original computation of a neural based predictor at the algorithmic level is introduced as a new organization. Its FPGA implementation generates circuits that are 1.7 faster than a direct implementation of the original algorithm. This faster clock rate allows to implement predictors with longer history lengths using the nearly the same hardware budget
In this paper, we examine the application of simple neural processing elements to the problem of dyn...
Abstract. The perceptron predictor is a highly accurate branch pre-dictor. Unfortunately this high a...
Accurate branch prediction is essential for modern microprocessors in order to maintain high in-stru...
An unaltered rearrangement of the original computation of a neural based predictor at the algorithmi...
This paper contributes to a dynamic branch predictor algorithm based on a perceptron in two directio...
This paper develops cycle-level FPGA circuits of an organization for a fast path-based neural branch...
This article presents a new and highly accurate method for branch prediction. The key idea is to use...
Microarchitectural prediction based on neural learning has received increasing attention in recent y...
This paper formally derives a new path-based neural branch prediction algorithm (FPP) into blocks of...
Branch prediction has been extensively studied in the context of application specific custom logic (...
Exploiting the huge computing power of modern microprocessors requires fast, accurate branch predict...
A conventional path-based neural predictor (PBNP) achieves very high prediction accuracy, but its ve...
With the pipeline deepen and issue width widen, the ac-curacy of branch predictor becomes more and m...
Living creatures pose amazing ability to learn and adapt, therefore researchers are trying to apply ...
Instructions pipelining is one of the most outstanding techniques used in improving processor speed;...
In this paper, we examine the application of simple neural processing elements to the problem of dyn...
Abstract. The perceptron predictor is a highly accurate branch pre-dictor. Unfortunately this high a...
Accurate branch prediction is essential for modern microprocessors in order to maintain high in-stru...
An unaltered rearrangement of the original computation of a neural based predictor at the algorithmi...
This paper contributes to a dynamic branch predictor algorithm based on a perceptron in two directio...
This paper develops cycle-level FPGA circuits of an organization for a fast path-based neural branch...
This article presents a new and highly accurate method for branch prediction. The key idea is to use...
Microarchitectural prediction based on neural learning has received increasing attention in recent y...
This paper formally derives a new path-based neural branch prediction algorithm (FPP) into blocks of...
Branch prediction has been extensively studied in the context of application specific custom logic (...
Exploiting the huge computing power of modern microprocessors requires fast, accurate branch predict...
A conventional path-based neural predictor (PBNP) achieves very high prediction accuracy, but its ve...
With the pipeline deepen and issue width widen, the ac-curacy of branch predictor becomes more and m...
Living creatures pose amazing ability to learn and adapt, therefore researchers are trying to apply ...
Instructions pipelining is one of the most outstanding techniques used in improving processor speed;...
In this paper, we examine the application of simple neural processing elements to the problem of dyn...
Abstract. The perceptron predictor is a highly accurate branch pre-dictor. Unfortunately this high a...
Accurate branch prediction is essential for modern microprocessors in order to maintain high in-stru...