Christopher Monardo
About Christopher Monardo
Christopher Monardo is a Senior Software Engineer with expertise in task scheduling and code hyper-optimization for AMD EPYC CPUs. He currently works at Cerebras Systems and has previously held positions at Intel Corporation, Kapsch TrafficCom North America, and Altera.
Work at Cerebras Systems
Christopher Monardo has been employed at Cerebras Systems as a Senior Software Engineer since 2020. In this role, he is involved in streaming 1.2Tb/s of data to each CS-2 in the HPC MemX Cluster Runtime. His work focuses on pipelined training and weight streaming training, which are critical for optimizing performance in high-performance computing environments. He specializes in developing wafer scale placement and routing algorithms, contributing to the advancement of Cerebras Systems' innovative technology.
Previous Experience at Intel Corporation
Before joining Cerebras Systems, Christopher Monardo worked at Intel Corporation as a Senior Software Engineer from 2016 to 2020. During his four years in Toronto, Ontario, he gained experience in software engineering practices and contributed to various projects. His expertise in task scheduling and code hyper-optimization for AMD EPYC CPUs was developed during this tenure, enhancing his skills in performance optimization.
Background in Engineering Roles
Christopher Monardo has a diverse background in engineering roles. He worked as an Associate System Engineer at Kapsch TrafficCom North America for three months in 2013, where he gained initial experience in system engineering. Additionally, he served as a Software Engineer at Altera from 2014 to 2015 for one year, further expanding his technical skills and knowledge in software development.
Education and Expertise
Christopher Monardo studied at the University of Toronto, where he earned a Bachelor of Applied Science (BASc) in Electrical and Computer Engineering (ECE) from 2011 to 2016. His education provided a solid foundation in engineering principles, which he has applied throughout his career. His expertise includes task scheduling, code hyper-optimization, and advanced algorithms related to wafer scale technology.