Alessio Sclocco

Alessio Sclocco is a research software engineer at the Netherlands eScience Center, specializing in optimizing GPU applications for scientific research. He earned his PhD in computer science from VU University Amsterdam in 2017, with a thesis titled "Accelerating Radio Astronomy with Auto-tuning." Previously, he worked at ASTRON, where he developed AMBER, an optimized GPU pipeline for detecting radio astronomical transients. Since 2012, Alessio has been dedicated to fostering computational excellence through mentoring and teaching GPU programming, helping others achieve high performance in their code.


Session

12-04
14:10
25min
Real-time Quantitative MRI Reconstruction
Alessio Sclocco, Stijn Heldens, Oscar van der Heide

In this talk, we address the challenges of quantitative MRI (qMRI) reconstruction and introduce COMPAS, a flexible and GPU-accelerated toolkit designed for use in qMRI research. Our evaluation shows that COMPAS significantly reduces reconstruction times, from hours to minutes, using the GPU infracture provided by SURF, including Snellius and LUMI supercomputers.

High Performance Computing
Mission 2