
Worked on the parthenon-hpc-lab/parthenon repository to enhance particle simulation capabilities by expanding data type support and improving tracking reliability. Developed and integrated uint64 support into SwarmPacks, updating both SwarmPack and cache structures to accommodate 64-bit values alongside existing int and Real types, thereby enabling simulations with larger integer data. Addressed a critical bug in the leapfrog algorithm by enforcing non-negative particle IDs, which prevents tracking errors during simulation runs. Utilized C++ for algorithm development and data structure modifications, while maintaining thorough documentation and version control practices to ensure project maintainability and facilitate adoption in larger-scale computational workflows.
March 2026 monthly summary for parthenon (parthenon-hpc-lab/parthenon). Focused on expanding data type support and strengthening particle-tracking robustness to enable larger, more reliable simulations. Key features delivered include enabling uint64 data type support in SwarmPacks by updating the SwarmPack and cache structures to handle 64-bit values alongside existing int and Real types. Major bug fix implemented in the leapfrog algorithm to ensure particle IDs are non-negative, preventing tracking errors in simulations. Included housekeeping updates to the changelog and copyright information to reflect these changes. These efforts improve data capacity, correctness of particle tracking, and project maintainability, supporting smoother adoption in larger-scale runs and downstream data pipelines.
March 2026 monthly summary for parthenon (parthenon-hpc-lab/parthenon). Focused on expanding data type support and strengthening particle-tracking robustness to enable larger, more reliable simulations. Key features delivered include enabling uint64 data type support in SwarmPacks by updating the SwarmPack and cache structures to handle 64-bit values alongside existing int and Real types. Major bug fix implemented in the leapfrog algorithm to ensure particle IDs are non-negative, preventing tracking errors in simulations. Included housekeeping updates to the changelog and copyright information to reflect these changes. These efforts improve data capacity, correctness of particle tracking, and project maintainability, supporting smoother adoption in larger-scale runs and downstream data pipelines.

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