Julia is a programming language for the scientific community that combines features of
productivity languages, such as Python or MATLAB, with characteristics of performance …

Analysts exploring big data require more from information visualization, data analysis, and
data management than these components can now deliver. New infrastructures must …

The R language, from the point of view of language design and implementation, is a unique
combination of various programming language concepts. It has functional characteristics like …

Computer systems are increasingly featuring powerful parallel devices with the advent of
many-core CPUs and GPUs. This offers the opportunity to solve computationally-intensive …

In order to generate efficient code, dynamic language compilers often need information,
such as dynamic types, not readily available in the program source. Leveraging a mixture of …

The aggressive optimization of heavily used kernels is an important problem in high-
performance computing. However, both general purpose compilers and highly specialized …

Dynamic languages have been gaining popularity to the point that their performance is
starting to matter. The effort required to develop a production-quality, high-performance …

The R programming language combines a number of features considered hard to analyze
and implement efficiently: dynamic typing, reflection, lazy evaluation, vectorized primitive …

Machine learning and artificial intelligence (AI) allow businesses to make better use of the
data they already have and to find solutions to difficult problems, both of which make it …

Computational scientists often prototype software using productivity languages that offer
high-level programming abstractions. When higher performance is needed, they are obliged …