Prof. Marco Aldinucci of the Parallel Computing research group at the University of Torino. Hosted by the IMS-MRL Bioinformatics and Biostatistics Core.

Today, after 30 years of business-as-usual, High-Performance Computing (HPC) extending beyond traditional application fields. For years, HPC systems have fed on differential equations; the ability to calculate many mathematical operations per second (FLOPS) was the key to solving increasingly larger problems and finding ever more precise solutions. The explosion of data resulting from digital transformation has shifted the demand for HPC from traditional applications to methods for analyzing large amounts of data, from toggling absolute binary in the front panel of the machine to an ecosystem of high-level libraries and services on the cloud. In this talk, we present Streamflow, a novel Workflow Management System based on the CWL open standard to support the transition from application pipelines to modern, dockerized, portable, R/Jupyter-enabled Pipeline-as-Service for hybrid HPC-cloud systems (e.g., SLURM, K8S). Examples are single-cell pipelines, QuantumExpresso-as-a-service, the digital twins for seismic (SPECFEM3D, SPEED, OPENSEES), the universal pipelined for AI-enabled diagnosis of COVID-19 interstitial pneumonia. https://streamflow.di.unito.it

Please contact Dr Davide Chiarugi for joining details.