The Utilization of Parallel Processors in a Data Analysis Environment
- 1 January 1981
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Nuclear Science
- Vol. 28 (5) , 3880-3888
- https://doi.org/10.1109/TNS.1981.4331869
Abstract
The problem of reduction and analysis of experimental data is ideally suited to the utilization of a parallel processing environment. In contrast to an array processor, where the operations are paralleled, the structure of event-mode data, as independent information packets, permits the analysis of each data packet to be carried out by a processor operating asynchronously but in parallel with other processing units. In the MIDAS project a multi-processor array (MPA) consisting of 8 high-level CPU's (with floating point hardware) for calculation, 2 pipelined processors for handling data I/O, and a specialized processor to perform high-speed Boolean operations, is available to each user during analysis. In addition, there are mid-range CPU's to control and monitor each MPA and specialized CPU's to control large mass storage devices.Keywords
This publication has 4 references indexed in Scilit:
- Software routing support for task migration in hypercube multiprocessor systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The Design of MIDAS - A Modular Interactive Data Analysis SystemIEEE Transactions on Nuclear Science, 1981
- A Fast, Time-Sliced, Multiple Data Bus Structure for Overlapping I/O and CPU OperationsIEEE Transactions on Nuclear Science, 1981
- A Specialized, Multi-User Computer Facility for the High-Speed, Interactive Processing of Experimental DataIEEE Transactions on Nuclear Science, 1979