The AI biomolecular prediction field keeps moving at a fast rate. In this talk, we'll outline what has happened at Utah in this area in the past year, including setting up a more performant server for Multiple Sequence Alignment (MSA) using mmseqs2, Boltz2 and Colabfold changes, and biomolecular design with Boltzgen.
Non-dominated Sorting Genetic Algorithm II (NSGA-II) remains one of the most widely adopted metaheuristics for solving multi-objective optimization problems; however, its conventional usage is often limited to default parameter settings and moderate-scale problem instances, which restricts its effectiveness in large-scale and high-dimensional scenarios. This tutorial presents a comprehensive and practical guide to scaling NSGA-II for large-scale optimization, emphasizing the critical role of algorithm configuration, parameter tuning, and implementation design. We present empirical evidence demonstrating that appropriately configured NSGA-II variants can effectively address both benchmark and real-world problems involving extremely high-dimensional decision spaces. The tutorial further discusses computational considerations, including parallelization strategies and memory efficiency, providing actionable insights for practitioners aiming to deploy NSGA-II in high-performance computing environments. Overall, this tutorial highlights that careful algorithmic configuration and scalable implementation are key to unlocking the full potential of NSGA-II in large-scale multi-objective optimization.
NetCDF (Network Common Data Form) is a set of software libraries and machine-independent, self-describing file formats used to store and share array-oriented scientific data. Widely used in atmospheric and oceanic sciences, it supports efficient access to multidimensional data (e.g., temperature, wind speed), and has been a fundamental archival and operational data format used since 1990. In this workshop, the netCDF lead developer from NSF Unidata, Ward Fisher, will discuss the current state of the netCDF project, how we have adapted to the move to Cloud Computing and object data storage, and what is on the horizon for this storied project.
