Scientific software developers are increasingly employing various software engineering
practices. Specifically, scientists are beginning to use Test-Driven Development (TDD). Even …

Heterogeneous computing is the major driving factor in designing new energy-efficient high-
performance computing systems. Despite the broad adoption of GPUs and other specialized …

With archaic coding techniques, there will be a time when it will be necessary to modernize
vulnerable software. However, redeveloping out-of-date code can be a time-consuming task …

There is a large body of legacy scientific code in use today that could benefit from execution
on accelerator devices like GPUs and FPGAs. Manual translation of such legacy code into …

Massively parallel accelerators such as GPGPUs, manycores and FPGAs represent a
powerful and affordable tool for scientists who look to speed up simulations of complex …

Fortran is still widely used in scientific computing, and a very large corpus of legacy as well
as new code is written in FORTRAN 77. In general this code is not type safe, so that incorrect …

Scientific models are often expressed as large and complicated programs. These programs
embody numerous assumptions made by the developer (eg, for differential equations, the …

Dimensional analysis is a well known technique for checking the consistency of equations
involving physical quantities, constituting a kind of type system. Various type systems for …

Far from the latest innovations in software development, many organizations still rely on old
code written in" obsolete" programming languages. Because this source code is old and …

Programming languages are the way developers communicate with computers—just like
natural languages let us communicate with one another. In both cases multiple languages …