We present Jobflow, a domain-agnostic Python package for writing computational workflows
tailored for high-throughput computing applications. With its simple decorator-based …

It is generally desirable for high-performance computing (HPC) applications to be portable
between HPC systems, for example to make use of more performant hardware, make …

Modern scientific workflows require hybrid infrastructures combining numerous
decentralized resources on the IoT/Edge interconnected to Cloud/HPC systems (aka the …

Scientific workflow applications have gained significant importance, and their automated
and efficient execution on large-scale computing platforms has been the subject of extensive …

We observe the emergence of a new generation of scientific workflows that process data
produced at a sustained rate by scientific instruments and large scale numerical simulations …

Modern scientific applications are increasingly decomposable into individual functions that
may be deployed across distributed and diverse cyberinfrastructure such as …

Scientific workflows have become ubiquitous across scientific fields, and their execution
methods and systems continue to be the subject of research and development. Most …

Modern large-scale scientific discovery requires multidisciplinary collaboration across
diverse computing facilities, including High Performance Computing (HPC) machines and …

We evaluate Julia as a single language and ecosystem paradigm powered by LLVM to
develop workflow components for high-performance computing. We run a Gray-Scott, 2 …

With the increasing amount of data available to scientists in disciplines as diverse as
bioinformatics, physics, and remote sensing, scientific workflow systems are becoming …