Aurelio Vivas received his Ph.D. and master's degree from Universidad de los Andes, Bogotá, Colombia, and his bachelor's degree from Universidad del Valle in Cali, Colombia. His Ph.D. thesis proposed scheduling strategies to optimize data movement in data-intensive workflows on NUMA memory architectures. As part of this work, he developed nFlows, a runtime system that supports memory-topology- and workflow-aware scheduling, as well as the analysis of data movement in workflow applications.
In 2023, Aurelio worked as a Ph.D. Research Aide, contributing to the development of THAPI (Tracing Heterogeneous APIs), a tracing infrastructure for heterogeneous computing applications running on the Aurora exascale system.
Aurelio's areas of interest include computer architecture (memory systems and architectures); parallel and distributed systems; operating systems (NUMA support and memory management); workflow management (scheduling, scientific workflows, and experimental automation); and performance analysis (benchmarking, tracing, profiling, and debugging).