Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …

The Workflows Community Summit gathered 111 participants from 18 countries to discuss
emerging trends and challenges in scientific workflows, focusing on six key areas: time …

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

We address the increasing complexity of scientific workflows in the context of high-
performance computing (HPC) and their associated need for robust, adaptable, and flexible …

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

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 …

Early diagnosis and accurate judgment are paramount in cancer diagnosis and treatment.
Establishing an effective cancer early warning system is crucial to improve patient outcomes …

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

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 …