March 2026: NVIDIA/warp focused on strengthening the 2D Poisson–Navier–Stokes demonstration by modularizing FFT kernel components and tightening the build process, while ensuring solver accuracy across discretizations. Key changes include isolating FFT kernel modules to improve modularity and compilation reliability, and introducing per-module LTO dispatch control to enable finer-grained build optimizations. A critical bug fix aligned the spectral Poisson solver with a modified wavenumber formulation to match a 2nd-order finite-difference stencil, ensuring correct behavior across all resolved wavenumbers. The work enhances code maintainability, reliability of the Navier–Stokes examples, and sets the stage for future performance tuning and faster iteration cycles.

February 2026: NVIDIA/warp: Implemented a 2-D incompressible Navier-Stokes solver with tile-based FFT and SSP-RK3 timestepping, plus an optimization example. Commits documented: 5c4d7350f3807eab4364e4dd1ee906f26e10a285 (A 2-D periodic box Navier-Stokes solver example in Warp) and 6efaf49409b6b5ecb8daf038b1b46e7e826ed004 (feat: add and clean up 2D Navier-Stokes optimization example). No major bugs fixed this month. Impact: expanded Warp CFD capabilities and introduced an optimization workflow for turbulence design; Skills demonstrated: CFD, tile-based FFT, SSP-RK3 timestepping, GPU-accelerated HPC, code experimentation, and version control.

July 2025 — NVIDIA/physicsnemo: Implemented Flexible Global Parameter Encoding for DoMINO, enabling DoMINO to handle arbitrary global simulation parameters during training and inference. Refactored parameter encoding to support a flexible number and types of global parameters (scalars and vectors), improving generalization and adaptability across varying simulation conditions. Commit 6b4cdef25895759f1e7842f5e0c2e5cc497e2a94 implements the changes under (#903). Business impact includes reduced rework when adapting to new experiments, faster experimentation cycles, and more robust training/inference pipelines.