March 2026 (2026-03) performance summary for newton-physics/newton: Key features delivered: - Public API exposure and utilities: Exposed newton.usd in the public API and introduced a ScopedDevice wrapper for mujoco_warp API calls, improving accessibility and reliability for external tools and scripts. - Allegro hand example enhancement: Added explicit joint armature to the Allegro hand example for more realistic rigging and easier demonstration. - Viewer initialization performance: Precompiled picking/raycast kernels on viewer init to speed up startup and interaction latency. - Dependency and CI/tooling improvements: Added Pillow to examples dependencies; bumped warp-lang minimum; introduced scheduled CI for nightly mujoco-warp from source; released CUDA mempool memory between tests to reduce peak RSS. - MuJoCo example improvements: Improved MuJoCo contact handling in ik_cube_stacking and hardcoded cube count to 3 for deterministic visuals. - Documentation and release readiness: Implemented changelog template and guidelines; simplified AGENTS.md; updated README and pyproject.toml for stable release; updated author email to developers@newton-physics.org; documented mass/inertia inference and updated development notice in overview. Major bugs fixed: - Zero-mass handling for explicit-mass MJCF geoms in viewer/physics pipeline. - Selection API attribute display in GL viewer; fixed extended state attributes API. - Collision pipeline mismatch in SolverMuJoCo examples. - Diff-sim: skip trajectory replay when viewer is paused. - Inverted scroll direction in GL viewer left panel and camera rotation clipping to [-180, 180]. - Contact force graph clipping in sensor_contact example. - Device scoping issues in multi-GPU environments. - Documentation inaccuracies in sites/concepts, and system requirements; clarified minimum/tested system requirements. Overall impact and accomplishments: - Accelerated release readiness and improved stability across the Newton stack, with a more consistent API surface and better developer experience. - Enhanced runtime performance and user experience in the viewer and MuJoCo examples, enabling faster iteration and more reliable demos. - Strengthened CI/CD practices and dependency management to support ongoing development and faster releases. Technologies/skills demonstrated: - API design and public surface exposure, wrapper/util pattern for cross-language/SDK compatibility - Python packaging, changelog/release process, and documentation discipline - Performance optimization (kernel precompilation) and GPU/renderer tuning - CI/CD automation, nightly build workflows, and memory management optimizations - Debugging complex 3D visualization and physics integration across multiple MuJoCo examples

February 2026 performance summary for newton-physics/newton: Delivered high-impact features to improve configurability, fidelity, and performance of the physics stack; hardened stability with targeted bug fixes; refreshed dependencies and tools to boost CI reliability and developer efficiency. Key work included enabling SolverMuJoCo custom attributes for solver options, aligning MuJoCo default params and parsing MJCF solref for contact stiffness/damping, auto-enabling actuator limited flags during MJCF import, upgrading MuJoCo/Warp to 3.5.0, and achieving ~18% faster test suite runtime. Additionally, multiple bug-fixes improved tolerance handling, log broadcasting for warp arrays, and XPBD restitution correctness. These changes deliver tangible business value through more accurate simulations, faster iteration cycles, and more robust tooling.

January 2026 performance summary for two repositories: newton-physics/newton and NVIDIA/warp. Delivered features and fixes enhanced runtime capabilities, import correctness, and developer ergonomics, with clear business value through improved stability, performance, and maintainability. Notable commits and contributions include: SolverMuJoCo custom attributes for contact pairs (684d108b...), runtime updates for MuJoCo contact pair custom attributes (c96e4b9c...), and schema options refinements (5a534687...). MJCF import and parser enhancements expanded import fidelity and collision control, including handling of <frame> tags (ea7f65f9...), <exclude> tag support (b4f0255f...), multiple worldbody elements (ff7a2495...), and default self-collisions (fb586af9...). Import robustness improvements were delivered with enforcing keyword-only arguments for importer functions (58cbaf89...). Additional quality and reliability work includes fixing MJCF transform duplication (bbbbdd49...), site_size alignment (e0f78422...), ensuring positive determinant in MuJoCo inertia updates (98c8895f...), and debugging improvements such as single-warp tile reduction optimization (9a9a3b01) and CPU assertion handling via SIGABRT in debug (ce7f4648). Finally, testing and hygiene improvements reduced disk usage and nondeterminism, including test infrastructure improvements and null viewer for example tests (18c08656, 2aafd27f9).

Month 2025-07 — NVIDIA/warp: Focused on stabilizing the debug experience by fixing the global debug mode initialization bug and expanding test coverage. This work reduces build and runtime inconsistencies when switching between release and debug modes and strengthens CI reliability.

June 2025 — Feature delivery in newton-physics/newton focused on mesh processing configurability. Delivered MuJoCoSolver parameter maxHullVert to control the maximum number of vertices used for convex hull generation, enabling tuning of mesh fidelity vs. performance in MuJoCo simulations. Commit: 72c00b46086cf16dce2ec9741fb57f214637eca3 (add maxHullVert parameter). No major bugs reported this month. Impact: provides a configurable knob to optimize performance for large meshes, reduces memory and compute where appropriate, and lays groundwork for further mesh processing optimizations. Technologies/skills demonstrated: API design for extensibility, version control traceability, and cross-team collaboration to align physics fidelity with performance targets.

May 2025: Delivered key enhancements to the Newton physics engine, improving accuracy, extensibility, and developer velocity. Highlights include Qpos and joint_q updates with initialization and tests, kernel and model field expansion with typing, runtime update checks and solver model update notification, inertia and body dynamics fixes, and broader testing, formatting, and CI improvements that reduce regressions and prepare for scalable extension.

April 2025 (Month: 2025-04) NVIDIA/warp delivered a correctness and stability improvement in the tile-loading pipeline by fixing the fast path handling for 16-byte-aligned small tiles. The work refined conditions for triggering the fast float4 path and added regression tests to validate edge-case configurations. This fix reduces incorrect tile loads for small tiles aligned to a 16-byte boundary, improving reliability of rendering paths that rely on the fast path. Associated commit 6330777487843284d8c6d2543c70786c64370212 and GH-622 provide traceability. Impact and value: - Enhanced stability and predictability of tile loads, reducing rendering glitches in edge cases. - Lowered risk of geometry rendering anomalies in workflows relying on the 16B-aligned tile configuration. - Maintained performance by retaining the fast path where correct, with safer gating. Technologies/skills demonstrated: - C++/GPU driver logic and CUDA-oriented code paths - Thorough regression testing and test coverage expansion - Git-based change tracing and issue linking (GH-622)