Published 1996 | Version v1
Book

BATRUN DPS (Batch after twilight running-distributed processing system): multi-cell, fault-tolerant, parallel, batch processing for Monte Carlos simulations

  • 1. Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Computer Sciences
  • 2. Iowa State Univ. of Science and Technology, Ames, IA (United States). Dept. of Physics and Astronomy

Description

This paper discusses the design of the BATRUN Distributed Processing System (DPS). In contrast to a dedicated cluster of workstations, the scheduling in BATRUN DPS must ensure that only the idle cycles are used for distributed computing and the local users, when they are operating, have full control of their machines. BATRUN DPS has several unique features: group-based scheduling policy to ensure execution priority based on ownership of machines, and multi-cell distributed design to eliminate a single point failure as well as to ensure scalibility. The implementation of the system is based on multi-threading and remote procedure call mechanisms. (author)

Part of:
Computing in high energy physics '95

Additional details

Publishing Information

Publisher
World Scientific
Imprint Place
Singapore (Singapore)
ISBN
981-02-2783-3
Imprint Title
Computing in high energy physics '95
Imprint Pagination
1002 p.
Journal Page Range
p. 230-234

Conference

Title
Computing in high energy physics
Acronym
CHEP95
Dates
18-22 Sep 1995
Place
Rio de Janeiro, RJ (Brazil)

INIS

Country of Publication
Singapore
Country of Input or Organization
Brazil
INIS RN
30054845
Subject category
S99: GENERAL AND MISCELLANEOUS; S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTER CODES; COMPUTER NETWORKS; DATA ANALYSIS; DATA PROCESSING; FAULT TOLERANT COMPUTERS; HIGH ENERGY PHYSICS; MONTE CARLO METHOD; PARALLEL PROCESSING
Descriptors DEC
CALCULATION METHODS; COMPUTERS; DIGITAL COMPUTERS; PHYSICS; PROGRAMMING

Optional Information

Notes
5 refs., 1 fig.