
During September 2025, Alex Shackleton developed Single-Write Multiple-Read (SWMR) functionality for the Smalldata module in the slac-lcls/lcls2 repository. Using Python and leveraging HDF5 for data storage, Alex implemented a concurrency solution that enables simultaneous data writing and reading, with SWMR mode activating after the initial dataset creation to ensure correct initialization. This approach improved real-time data handling and reduced contention between readers and writers, directly supporting scalable and safer data pipelines for live experiments. The work demonstrated a focused application of concurrency and data handling skills, delivering a robust feature that addresses critical workflow requirements in scientific environments.

Month: 2025-09 — Delivered SWMR (Single-Write Multiple-Read) functionality for the Smalldata module in the slac-lcls/lcls2 repository. SWMR enables concurrent data writing and reading, with the SWMR mode activated after the first dataset is created to ensure proper initialization. This enhancement improves real-time data handling, reduces reader-writer contention, and strengthens data integrity for live experiments. The change aligns with the roadmap for scalable data pipelines and supports higher-throughput, safer concurrent access in critical workflows.
Month: 2025-09 — Delivered SWMR (Single-Write Multiple-Read) functionality for the Smalldata module in the slac-lcls/lcls2 repository. SWMR enables concurrent data writing and reading, with the SWMR mode activated after the first dataset is created to ensure proper initialization. This enhancement improves real-time data handling, reduces reader-writer contention, and strengthens data integrity for live experiments. The change aligns with the roadmap for scalable data pipelines and supports higher-throughput, safer concurrent access in critical workflows.
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