A Simple Multiprocessor Management System for Event-Parallel Computing
Steve Bracker, Krishnaswamy Gounder, Kevin Hendrix, and Don Summers, (University of Mississippi--Oxford)
TL;DR
This paper presents a modular multiprocessor management system that efficiently distributes particle physics data processing tasks across multiple UNIX/RISC workstations using TCP/IP sockets, demonstrating its effectiveness on large-scale data reconstruction.
Contribution
It introduces a simple, modular multiprocessor management system tailored for event-parallel computing in particle physics, utilizing TCP/IP sockets for interprocess communication.
Findings
Successfully managed reconstruction of eight billion raw data events.
Demonstrated modular system's efficiency and simplicity in large-scale data processing.
Showed adaptability to specific tasks in particle physics data analysis.
Abstract
Offline software using TCP/IP sockets to distribute particle physics events to multiple UNIX/RISC workstations is described. A modular, building block approach was taken, which allowed tailoring to solve specific tasks efficiently and simply as they arose. The modest, initial cost was having to learn about sockets for interprocess communication. This multiprocessor management software has been used to control the reconstruction of eight billion raw data events from Fermilab Experiment E791.
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