Presenter

Yan Guimarães is a Software Engineering student at the University of Brasília (UnB) researching high-performance computing and distributed task scheduling in the Julia Language. He focuses on developing an MPI-based backend for Dagger.jl, a runtime system that uses DAG-based scheduling to handle distributed workloads automatically. He integrates MPI into Dagger's scheduler with one line of code, which enables MPI-aware task placement while hiding communication complexity. He evaluates performance on the Aurora exascale supercomputer and AWS, using parallel Cholesky decomposition benchmarks, showing competitive results on HPC interconnects. This research, developed through Google Summer of Code 2025, was presented at the SC25 ACM Student Research Competition (Undergraduate category) in St. Louis, Missouri.