
Paolo Silva developed a comprehensive HGCal Raw Data Handling and Calibration Framework within the SegmentLinking/cmssw repository, focusing on the full data path from unpacking to local reconstruction. He refactored the unpacker to support Structure of Arrays (SoA) formats and implemented FED-level parallelization using Alpaka for efficient GPU and CPU processing. The work included geometry mapping, enhanced data formats for digis and recHits, and new EventSetup producers for configuration and mapping. Leveraging C++ template metaprogramming and low-level data handling, Paolo’s contributions addressed both performance optimization and robust error handling, demonstrating depth in algorithm refactoring and parallel data processing.

Concise monthly summary for 2025-01 focusing on SegmentLinking/cmssw work across HGCal data path.
Concise monthly summary for 2025-01 focusing on SegmentLinking/cmssw work across HGCal data path.
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