Kevin Sala Penadés
About Kevin Sala Penadés
Kevin Sala Penadés is a PhD student and junior research engineer at the Barcelona Supercomputing Center, where he has worked since 2018. He specializes in developing parallel and distributed programming models for high-performance computing systems.
Work at Barcelona Supercomputing Center
Kevin Sala Penadés has been associated with the Barcelona Supercomputing Center (BSC) since 2015. He initially joined as a Visitor Student and Collaborator for a period of 10 months. Following this role, he worked as a Resident Student from 2016 to 2018 for two years. Since 2018, he has held the position of PhD Student and Junior Research Engineer. His work primarily focuses on developing parallel and distributed programming models tailored for high-performance computing systems.
Education and Expertise
Kevin Sala Penadés completed his Bachelor's Degree in Computer Engineering at Universitat Politècnica de Catalunya from 2012 to 2016. He then pursued a Master's Degree in Innovation and Research in Informatics, specializing in High-Performance Computing, from 2016 to 2018. He continued his academic journey by obtaining a Doctor of Philosophy (PhD) from 2018 to 2022, focusing on Computer Architecture and High-Performance Computing.
Background
Kevin Sala Penadés has a strong academic background in computer science and engineering. His educational journey at Universitat Politècnica de Catalunya laid the foundation for his expertise in high-performance computing. His involvement with the Barcelona Supercomputing Center began during his studies and has continued into his professional career, reflecting a commitment to advancing research in this field.
Research Focus
Kevin Sala Penadés specializes in developing parallel and distributed programming models for high-performance computing systems. His research aims to enhance the efficiency and effectiveness of computational processes, contributing to advancements in the field of computer science. His work at the Barcelona Supercomputing Center plays a significant role in addressing challenges associated with high-performance computing.