Using Multiple RISC CPUs in Parallel to Study Charm Quarks
C. Stoughton (1), D.J. Summers (2) ((1) Fermilab, (2) University, of Mississippi-Oxford)

TL;DR
This paper demonstrates the use of a parallel system of 16 RISC CPUs to efficiently process and analyze a large high-energy physics data set, enabling detailed charm quark studies.
Contribution
It introduces a cost-effective parallel processing system using RISC CPUs for large-scale physics data reconstruction, achieving significant speedup and data handling improvements.
Findings
16 RISC CPUs processed 1.3 TB data efficiently
Achieved 20x faster data processing compared to older CPUs
Produced a sample of reconstructed particles containing charm quarks
Abstract
We have integrated a system of 16 RISC CPUs to help reconstruct and analyze a 1.3 Terabyte data set of 400 million high energy physics interactions. These new CPUs provided an affordable means of processing a very large data set. The data was generated using a hadron beam and a fixed target at Fermilab Experiment 769. Signals were recorded on tape from particles created in or decaying near the target and passing though a magnetic spectrometer. Because all the interactions were independent, each CPU could completely reconstruct any interaction without reference to other CPUs. Problems of this sort are ideal for multiple processors. In the offline reconstuction system, we used Exabyte 8mm video tape drives with an I/O capacity of 7 Terabytes per year and a storage capacity of 2.3 Gigabytes per tape. This reduced tape mounts to one or two per day rather than one or two per hour as would be…
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