Scientific applications are getting increasingly complex, eg, to improve their accuracy by
taking into account more phenomena. Meanwhile, computing infrastructures are continuing …

This paper reports on a four-year project that aims to raise the abstraction level through the
use of model-driven engineering (MDE) techniques in the development of scientific …

Whether it is for e-science or business, the amount of data produced every year is growing at
a high rate. Managing and processing those data raises new challenges. MapReduce is one …

Scientific applications are increasingly getting complex, eg to improve their accuracy by
taking into account more phenomena. Meanwhile, computing infrastructures are continuing …

This paper introduces a novel design approach for embryonic arrays that is able to employ
all three axial characteristics of living beings: phytogeny, ontogeny, and epigenesis. Rather …

To harness the computing power of supercomputers, HPC application algorithms have to be
adapted to the underlying hardware. This is a costly and complex process which requires …

Software specialization exists in various forms in the literature ranging from product lines to
adaptation of high-performance applications. In particular, specialization of component …

Abstract The Fast Fourier Transform (FFT) is a widely-used building block for many high-
performance scientific applications. Efficient computing of FFT is paramount for the …

Component-based programming is a programming paradigm which eases code reuse and
separation of concerns. Some component models, which are said to be" reconfigurable" …

Component-based Software Engineering [4] has proved many times good properties for
code re-use, separation of concerns, maintainability and productivity of codes. As a matter of …