As processor issue widths increase, high-bandwidth parallel fetches across multiple branches will be necessary to prevent Flynn’s bottleneck. In this paper, we show that by combining hyperblocks and exit predictors, high instruction bandwidths can be achieved in a streamlined, simple design that requires only a third of the predictions of a conventional predictor. Exit predictors identify the f...

Recent superscalar processors that use deep pipelines and wide issue rates, highly depend on eecient branch prediction to obtain a large amount of instruction-level parallelism. Much work has been carried out in this area and the outcome of branches is very predictable. Mostly, su-perscalar processors are used in a multiprogram-ming environment to obtain higher throughput. In this paper, we ana...

As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent branch predictor becomes more vital to delivering the potential performance of a wide-issue, deep pipelined microarchitecture. We propose a new dynamic branch predictor (Two-Level Adaptive Branch Prediction) that achieves substantially higher accuracy than any other sche...

Clinicians need to predict patient outcomes with high accuracy as early as possible after disease inception. In this manuscript, we show that patient-to-patient variability sets a fundamental limit on outcome prediction accuracy for a general class of mathematical models for the immune response to infection. However, accuracy can be increased at the expense of delayed prognosis. We investigate ...

MOTIVATION Accurate computational prediction of protein functional sites is critical to maximizing the utility of recent high-throughput sequencing efforts. Among the available approaches, position-specific conservation scores remain among the most popular due to their accuracy and ease of computation. Unfortunately, high false positive rates remain a limiting factor. Using phylogenetic motifs ...

We investigate how accurate parents are at predicting their children's meal preferences and what cues best describe parents' predictions. In Study 1, 30 parents predicted their children's school lunch choices from actual school menus. Parents' prediction accuracy matched the stability of children's meal choices (assessed in a 4-month retest), implying that accuracy was as high as can be expecte...

With the constantly increasing number of mobile devices performance becomes more and more essential for location aware platforms. Position prediction can help to improve the overall performance of such location-aware platform, e.g. by reducing latencies during handovers. But this goal can only be achieved if the prediction mechanism provides a high accuracy and if it does not consume relevant c...

UNLABELLED GOSLING is a web-based protein function annotator that uses a decision tree-derived rule set to quickly predict Gene Ontology terms for a protein. A score is assigned to each term prediction that is indicative of the accuracy of the prediction. Due to its speed and accuracy GOSLING is ideally suited for high-throughput annotation tasks. AVAILABILITY https://www.sapac.edu.au/gosling