Hartmut is a professor at Louisiana State University. He is probably best known for his involvement in open-source software projects, such as being the author of several C++ libraries he has contributed to Boost that are in use by thousands of developers worldwide. In his current research he focusses on leading the [STE||AR Group](https://stellar-group.org/) at LSU’s Center for Computation and Technology working on the practical design and implementation of future execution models and programming methods using the [HPX runtime system](https://github.com/STEllAR-GROUP/hpx) - a modern C++ library for concurrency and parallelism. His research interests are focused on the complex interaction of compiler technologies, runtime systems, active libraries, and modern system’s architectures. His goal is to enable the creation of a new generation of scientific applications in powerful, though complex environments, such as high-performance computing, distributed and cloud computing, spatial information systems, and compiler technologies.
HPC is entering a post-Exascale era marked by heterogeneous hardware (accelerators, disaggregated memory, quantum units) and increasingly dynamic, data‑intensive, AI‑driven workloads. Current fragmented software stacks (MPI, OpenMP, CUDA) limit portability, adaptivity, and performance. The talk will outline a strategy and first steps towards a co‑designed compiler–runtime–AI ecosystem, with HPX as the integration foundation, to close the optimization loop between static analysis and runtime feedback and to deliver performant, resource‑efficient, adaptive, and portable execution for next‑generation HPC. We instrument compiler analyses with runtime‑visible metadata via LLVM/Clang extensions and an HPX MLIR dialect, enabling executors and schedulers to query detailed task characteristics. […]