Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
- Malte Rasch
- Charles Mackin
- et al.
- Nature Communications
Manuel Le Gallo is a Staff Research Scientist in the In-Memory Computing group.
His main research interest is in using phase-change memory (PCM) devices for non-von-Neumann computing. He is a member of the team that has created randomly spiking neurons using phase-change materials that store data and perform computations like the human brain. This is a significant step forward in the development of energy-efficient, ultra-dense, integrated neuromorphic computing technologies.
He originally joined IBM Research - Zurich as a Master's student in 2013, working on the electrical characterization of PCM cells and the experimental investigation of melting/crystallization and subthreshold conduction. He conducted his PhD at IBM affiliated with the Institute of Neuroinformatics at ETH Zurich.
He was appointed IBM Master Inventor in 2019 and is a recipient of the MIT Technology Review's 2020 Innovators Under 35 award.
Manuel holds a doctoral degree in Electrical Engineering (DrSc) from ETH Zurich, a Master's degree in Electrical Engineering and Information Technology (MSc) from ETH Zurich, an undergraduate degree of Cycle Ingénieur Polytechnicien from Ecole Polytechnique (l'X), Palaiseau, France, as well as a Bachelor's degree in Engineering Physics (BEng) from Ecole Polytechnique de Montréal, Canada.