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1st IEEE Computer Society International Workshop on Cluster Computing
Global Resource Director (GRD): Customer Scenarios for Large Multiprocessor Environments
Melbourne, Australia
December 02-December 03
ISBN: 0-7695-0343-8
| ASCII Text | x | ||
| Fritz Ferstl, "Global Resource Director (GRD): Customer Scenarios for Large Multiprocessor Environments," Cluster Computing, International Workshop on, pp. 339, 1st IEEE Computer Society International Workshop on Cluster Computing, 1999. | |||
| BibTex | x | ||
| @article{ 10.1109/IWCC.1999.810904, author = {Fritz Ferstl}, title = {Global Resource Director (GRD): Customer Scenarios for Large Multiprocessor Environments}, journal ={Cluster Computing, International Workshop on}, volume = {0}, year = {1999}, issn = {1530-1885}, pages = {339}, doi = {http://doi.ieeecomputersociety.org/10.1109/IWCC.1999.810904}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Cluster Computing, International Workshop on TI - Global Resource Director (GRD): Customer Scenarios for Large Multiprocessor Environments SN - 1530-1885 SP EP A1 - Fritz Ferstl, PY - 1999 VL - 0 JA - Cluster Computing, International Workshop on ER - | |||
Genias Global Resource Director (GRD) was developed to meet the demands of large multiprocessor sites with several 100s of CPUs and users. At the Army Research Laboratory (ARL) and at BMW, GRD is installed on several types of Cray and SGI machines. This paper will describe how GRD integrates such resources into one environment automatically managed by global resource utilization policies. Benefits that the sites achieved in using GRD such as avoiding over-subscription of resources, automated management and utilization monitoring will also be discussed. In addition, an overview will be provided on the groundbreaking functionality of GRD which features a ticketing system based distribution of resource shares combined with on- line control of the CPU utilization of running jobs (also known as is dynamic scheduling).
Citation:
Fritz Ferstl, "Global Resource Director (GRD): Customer Scenarios for Large Multiprocessor Environments," iwcc, pp.339, 1st IEEE Computer Society International Workshop on Cluster Computing, 1999
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