Event reconstruction in high-energy physics

Author

Rinaldo, Frank J. ; Fausey, Matthew R.

Author_Institution

Fermi Nat. Accel. Lab., Batavia, IL, USA

Volume

26

Issue

6

fYear

1993

fDate

6/1/1993 12:00:00 AM

Firstpage

68

Lastpage

77

Abstract

Cooperative Processes Software (CPS), a parallel programming toolkit developed at Fermilab for processing CPU-intensive experimental data in the area of high-energy physics, is described. CPS allows physicists to solve computationally intensive problems on a collection of reduced-instruction-set-computer (RISC) workstations that work in parallel to provide solutions within a reasonable time frame. This mode of parallel processing provides a cost effective and easily scalable solution to CPU-bound computational problems that can be classified as large grained and loosely coupled. The performance of CPS on a typical experiment of Fermilab, which has 1000 to 2000 8 mm tapes of raw event data that needs to be reconstructed, is discussed.<>

Keywords

parallel programming; physics computing; reduced instruction set computing; CPS; CPU-intensive experimental data; Cooperative Processes Software; Fermilab; event reconstruction; high-energy physics; parallel programming toolkit; reduced-instruction-set-computer; Computer networks; Concurrent computing; Detectors; Intelligent networks; Laboratories; Parallel programming; Physics computing; Reduced instruction set computing; Software tools; Workstations;

fLanguage

English

Journal_Title

Computer

Publisher

ieee

ISSN

0018-9162

Type

jour

DOI

10.1109/2.214442

Filename

214442