2025-10 Monthly summary for nvidia-holoscan/holohub: - Key features delivered: - HoloHub CUDA Green Context Benchmark: Introduced a new benchmark application to measure CUDA kernel launch-start time improvements using NVIDIA Green Context. The benchmark uses CUPTI timing, supports A/B tests between baseline and Green Context configurations, and is configurable to quantify tail latency under GPU contention. Commit aef0405a6e7c0eb79db2444e2630a31a60118512 ('Add Green Context CUDA kernel launch-start time benchmark (#1133)'). - Major bugs fixed: - None reported this month. - Overall impact and accomplishments: - Provides data-driven visibility into kernel launch performance under contention, enabling targeted optimizations and informed GPU resource strategies. Establishes a reproducible benchmarking baseline for CUDA kernel launches and Green Context performance. - Technologies/skills demonstrated: - CUDA, NVIDIA Green Context, CUPTI timing, benchmarking design, A/B testing, performance analytics, GPU contention analysis.

Delivered a real-time thread scheduling benchmarking framework for Holoscan applications in holohub, enabling CPU-contended performance evaluation and data-driven scheduling decisions. The feature includes configurable benchmarks, automated analysis plots, and detailed reporting to quantify jitter reduction and frame timing consistency.

March 2025 performance summary for isaac-sim/IsaacLab: Delivered key enhancements to the Franka stacking mimic workflow with modularized dataset generation and a new blueprint environment, accompanied by dependency management and utility helpers to improve usability and framework capabilities. Implemented dynamic UI feedback for Isaac Lab recording sessions to provide real-time guidance and progress indicators during demonstrations. These changes streamline data generation pipelines, boost reproducibility, and enhance operator experience, driving faster iteration cycles and higher-quality datasets.

December 2024 — IsaacLab (isaac-sim/IsaacLab) focused on stabilizing XR teleoperation, expanding device compatibility, and accelerating task initiation. Delivered configuration cleanup, enhanced hand-tracking-based teleoperation, and UX improvements to start XR tasks with high-quality rendering, enabling faster onboarding and broader hardware support.