Align the MLSys·im code, docs, paper, website, workflows, and lab wheel for the 0.1.1 release. This also fixes runtime/API issues found during release review and prepares the paper PDF plus archive package.
Each example now has a commented block at the bottom showing expected
output from mlsysim v0.1.0. Helps students know what to expect before
running, and serves as regression markers.
Added examples demonstrating heterogeneous clusters (both programmatic and YAML),
the data wall phenomenon, Hugging Face model import, and multi-objective Pareto
optimization.