In our previously published research we discovered some very difficult to predict branches,
called unbiased branches. Since the overall performance of modern processors is seriously …

In our previously published researches we used different prediction algorithms to solve
several problems in computer architecture and ubiquitous computing. During the time, we …

This habilitation thesis is a synopsis of the most important research achievements after the
PhD thesis in prediction-based modeling and estimation in topics like computer architecture …

Predictors essentially predicts the most recent events based on the record of past events,
history. It is obvious that prediction performance largely relies on regularity–randomness …

This paper presents the theoretical and practical foundations of dynamic neural branch
prediction techniques, implemented in modern superscalar microarchitectures. Using …

The majority of currently available dynamic branch predictors base their prediction accuracy
on the previous k branch outcomes. Such predictors sustain high prediction accuracy but …

Dynamic branch predictors account for between 10% and 40% of a processor's dynamic
power consumption. This power cost is proportional to the number of accesses made to that …

In modern superscalar microarchitectures that speculatively execute a great quantity of
code, without performing branch prediction, it won't be possible to aggressively exploit …

In our previous published research we discovered some very difficult to predict branches,
called unbiased branches that have a “random” dynamical behavior. We developed some …

The portability, the object-oriented and distributed programming models, multithreading
support and automatic garbage collection are features that make Java very attractive for …