Matthias Fouquet-Lapar focused his career on High Performance Computing starting 1986 with Cray Research as system analyst working with customers such as ETH, EPFL and ULB to put supercomputing resources into production and optimise applications. The early 90’s introduced micro-processor based massively parallel designs where he worked on the implementation of a distributed micro-kernel based operating system for the Cray T3D. He joined SGI's engineering team after the acquisition of Cray Research focussing on scalability and resiliency for SGI’s ccNUMA based super computers and heterogeneous computing with application specific accelerators such as FPGAs and GPUs at large scale.
In 2014 he joined Huawei’s Mathematical and Algorithm Science Lab in Paris where he continued to work on scalability problems with a specific focus on power awareness in edge and end devices. Most recently he worked for Lenovo as technical lead in the merging field of HPC and AI/ML and at Cerebras systems focused on performance analysis and prediction for NLP and Transformer based AI stacks.