In 2025-06, the team focused on enhancing performance benchmarking for MBW on CliMA/ClimaAtmos.jl by integrating CPU strong scaling tests into the CPU scaling pipeline, enabling systematic scalability analysis across node counts and element resolutions. This work included new job steps, pipeline configuration updates, and a user guide to trigger CPU scaling builds. The change is captured by commit 661211edc3277d978e4d5eab883c6ea874ef25a1, with message 'Add MBW strong scaling runs to CPU scaling pipeline.' No major bugs fixed this month in this repo. Overall, these improvements provide reproducible performance baselines, faster detection of scaling regressions, and clearer guidance for users to reproduce MBW scaling experiments. Technologies demonstrated include Julia, ClimaAtmos.jl, CI/CD pipelines, and performance benchmarking practices.

May 2025 performance summary for CliMA/ClimaAtmos.jl: Delivered a targeted refactor of the radiation model by introducing a dedicated update_inputs.jl module to decouple and streamline radiation callback handling. The change improves maintainability, readability, and future extensibility of the radiation interface (affecting atmospheric states, volume mixing ratios, aerosol concentrations, and cloud properties). No major bug fixes were required this month; focus was on architectural improvement and documenting the new module. Business value realized includes faster onboarding for contributors, reduced regression risk through clearer interfaces, and smoother implementation of future radiation model enhancements.

April 2025 monthly summary: Focused on performance, reliability, and maintainability across the Clima stack. Delivered targeted improvements in CI and dependency management, setting the stage for faster feedback loops and easier future maintenance. No major bug fixes were reported this month; the emphasis was on streamlining workflows and reducing build surface area to accelerate development cycles and reduce resource usage.

March 2025: Delivered end-to-end GPU benchmarking observability for CliMA/RRTMGP.jl by integrating Nsight Systems into the Buildkite workflow. Updated CI pipeline to include the Nsight module and adjusted benchmark commands to run under the profiler, enabling detailed GPU performance analysis and reproducible measurements in CI. No major bugs fixed for this repository this month; primary focus was profiling enablement and CI instrumentation to drive performance improvements and data-driven tuning.

February 2025 monthly summary for CliMA/ClimaAtmos.jl: Focused on CI pipeline automation, configurable moisture-wave experiments, and turbulence-modeling enhancements to enable scalable, reproducible simulations. Delivered automated Buildkite pipeline generator and Moist Baroclinic Wave configuration, updated longrun_aquaplanet_dyamond dynamics with a smaller timestep and diagnostics, and migrated to a TKE-based eddy diffusion model with tuned turbulence settings. These changes improve CI reliability, configurability for scaling tests, simulation fidelity, and maintainability.

January 2025 performance summary for CliMA/ClimaCore.jl: Focused on GPU-accelerated workflow improvements with targeted CUDA grid optimization and expanded GPU testing. Implemented changes to optimize parallel processing by adjusting CUDA grid dimensions for specific partitions and added a new test to verify the creation of high-resolution spaces on the GPU, enhancing efficiency and correctness of CUDA-based computations.

In December 2024, delivered a new DYAMONDSummer Low-Res Simulation: Pre-defined Atmospheric States in CliMAAtmos.jl, enabling overwriting default states with existing datasets and supporting pre-defined atmospheric states via the updated configuration and initial conditions module. Commit ce87270294ebc13da15b253661e64b50617ef603: Add `DYAMONDSummer` low resolution simulation. No major bugs fixed this month. Impact: improved reproducibility and faster initialization for low-resolution climate experiments, enabling data-driven initial conditions and consistent scenario comparisons. Technologies/skills demonstrated: Julia, modular design in ClimaAtmos.jl, configuration and initial conditions management, dataset integration, Git/version control.

Month 2024-11: Focused on reliability improvements and researcher-ready artifact workflows for CliMAArtifacts. Delivered cross-platform artifact operations and an end-to-end DYAMOND Summer Simulation artifact workflow to accelerate setup and reproducibility.