February 2026 — JuliaPackaging/Yggdrasil: Focused on GPU build readiness and cross-version CUDA support. Delivered Libxc_GPU CUDA v13 compatibility, refined NVVM handling, and added common CUDA components to streamline Libxc_GPU GPU builds. These changes improve build reliability, reduce maintenance overhead, and enable users to target CUDA v13 with minimal friction.

In January 2026, delivered essential ORCA deployment documentation for the Eiger cluster and documented how to run multiple ORCA calculations concurrently using HyperQueue, enabling better resource utilization and faster workflows. The work includes installation guidelines and usage patterns, and aligns with SD-68467. This effort was implemented in the Eth-CSCS repository with commits a5ce6e37e5692cbe569c2c2e2045bb6b0f968835 and ce537354e9fa0d2e418813be0dfbacd53acb3d8e.

Concise monthly summary for 2025-11: Delivered key dependency upgrades and platform filtering enhancements for JuliaPackaging/Yggdrasil, enabling more robust cross-platform builds and up-to-date tooling. Upgraded SpFFT to 1.1.1 with platform filtering excluding riscv64; upgraded SIRIUS to 7.9.0; added Fmt_jll as a new dependency. This work improves build stability, reduces CI noise on unsupported architectures, and positions downstream packages for faster development cycles.

September 2025: Focused on performance optimization in HFX initialization within the cp2k/cp2k repository. Implemented a targeted change to reuse list objects by changing the 'list' argument intent from OUT to INOUT in hfx_pair_list_methods.F, enabling in-place modification of existing lists and reducing allocations during initialization. This reduces startup time for HFX initialization, particularly benefiting large-scale simulations.

July 2025 performance summary: Delivered key feature for RI-HFXk in CP2K with MIX_CL_TRUNC potential type, along with memory estimation improvements, a progress bar visualization for long calculations, and refined handling of periodic boundary conditions and memory management within the RI-HFXk framework. In parallel, enhanced CP2K documentation by adding Known Issues guidance and practical workarounds. Fixed a critical submission issue by updating deprecated Slurm GPU variable usage in the LLM Nanotron training docs to ensure correct GPU allocation. These efforts strengthened performance, reliability, and developer experience across repositories.

March 2025 focused on delivering key features and platform improvements across two core repositories, with a clear emphasis on performance, memory efficiency, and broader hardware support. In cp2k/cp2k, we introduced a memory-optimized path for RI density coefficients calculation by adding SKIP_RI_METRIC, enabling direct contraction of the density matrix with 3-center integrals. This option reduces memory usage and is designed to be mutually exclusive with the existing MULTIPLY_BY_RI_2C_INTEGRALS behavior. In JuliaPackaging/Yggdrasil, Libxc was upgraded to 7.0.0 to enable GPU builds and aarch64 CUDA cross-builds, along with streamlined CUDA redistributable downloads for better compatibility and deployment. These changes deliver tangible business value by expanding deployment options, reducing resource usage in RI workflows, and improving cross-platform support.