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To accelerate the event reconstruction in high-energy physics experiments using modern parallel computing architectures, it is useful to:
- identify key algorithms that are dominant contributors to reconstruction workflows,
- re-design those algorithms to efficiently use parallelism at the data and instruction levels,
- deploy the new code in the experiments’ frameworks,
- explore execution on different architectures and platforms.