Proceedings of the 12th Workshop on Workflows in Support of Large-Scale Science

Abstract

Scientific workflows are routinely used in most scientific disciplines today, as they provide a systematic way to execute a number of applications in Science and Engineering. They are at the interface of end-users and computing infrastructures, often relying on workflow management systems and a variety of parallel and/or distributed computing resources. In addition, with the drastic increase of raw data volume in many domains, their role is important to assist scientists in organizing and processing their data and leverage High-Performance or High-Throughput computing resources