This paper prooves that for SSA programs the interference graph can be coloured optimally in linear time. The proof will proceed as follows: Section 2 presents some properties of SSA graphs, and the operation’s effect on creating the interference graph. Section 3 will show that the interference graph for SSA programs are chordal graphs. Section 4 will present an algorithm that can colour chorda...

Widespread adoption of reconfigurable devices requires system level synthesis techniques to take an application written in a high level language and map it to the reconfigurable device. This paper describes methods for synthesizing the internal representation of a compiler into a hardware description language in order to program reconfigurable hardware devices. We demonstrate the usefulness of ...

The Static Single Assignment (SSA) form has been an eminent contribution towards analyzing programs for compiler optimizations. It has been a able to the design of simpler algorithms for existing optimizations, and has facilitated the development of new ones. However, speculative optimizations optimizations targeted towards speeding-up the common cases of a program have not been fortunate enoug...

Time series forecasting has gained much attention due to its many practical applications. Higher-order neural network with recurrent feedback is a powerful technique that has been used successfully for time series forecasting. It maintains fast learning and the ability to learn the dynamics of the time series over time. Network output feedback is the most common recurrent feedback for many recu...

Effective wind power prediction will facilitate the world’s long-term goal in sustainable development. However, a drawback of as an energy source lies its high variability, resulting challenging study forecasting. To solve this issue, novel data-driven approach is proposed for forecasting by integrating data pre-processing & re-sampling, anomalies detection treatment, feature engineering, and h...

Static Single Assignment (SSA) form is an intermediate representation that allows a compiler to perform advanced optimizations to extract parallelism. Predication is an architectural feature to maximize instruction level parallelism. If a compiler uses a predicated SSA form that is a combination of an SSA form and predication as an intermediate representation, it can perform advance optimizatio...

Aiming at the nonlinear, nonstationary, and time series characteristics of power load, this study proposes a load forecasting method based on empirical mode decomposition particle swarm optimization gated recurrent unit neural network. First, original data are decomposed into limited number modal components residual component by using to reduce nonstationarity complexity sequence decrease assoc...

Applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. Artificial Neural Networks (ANN) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. Most ANN models applied in Economics use the gradient descent method as their learning algorithm. However, t...

The Stage By Stage Approaching (SSA) entropy minimization approach to synthetic aperture radar (SAR) autofocus is a modern and innovative technique, which has not been compared with other approaches, to date. We provide such a comparison and show that SSA is a most promising autofocus method. In this paper, we evaluate the merit of this algorithm through comparison with the established Phase Gr...