Dr Gabriel NOAJE1
1NVIDIA, Singapore, Singapore
Prior to joining NVIDIA, he was a Senior Solutions Architect with SGI and HPE where he was developing solutions for HPC and Deep Learning customers in APAC. Previously, he was a Senior Computational Scientist at A*STAR Computational Resource Centre in Singapore (A*CRC) supporting users with deploying their applications on GPUs and large HPC systems.
Gabriel holds a PhD in Computer Sciences from the University of Reims Champagne-Ardenne, France and a BSc and MSc in Computer Sciences from the Polytechnic University of Bucharest, Romania.
It has long been thought that accelerated computing required experience with specialized programming languages, directives, or language extensions, but as parallel programming has become more mainstream, standard programming languages have made parallel programming a feature native to the language.
Programmers can now write parallel-first code, no longer adding parallelism as an afterthought, but as the baseline. We’ll highlight recent advances in native language parallelism in C++, Python, and Fortran and show how programmers can begin to support GPU acceleration as a native feature in their applications with no specialized code.
We will hear from thought leaders in the field from the HPC community about their insight into commoditizing accelerated computing using standards as well as interact with the audience to get their perception on the future of parallel programming for the era of accelerators.
Biography:
Gabriel Noaje has more than 15 years of experience in accelerator technologies and parallel computing. Gabriel has a deep understanding of users’ requirements in terms of manycore architecture after he worked in both enterprise and public sector roles.