TY - CHAP A1 - Allen, Gabrielle A1 - Dramlitsch, Thomas A1 - Goodale, Tom A1 - Lanfermann, Gerd A1 - Radke, Thomas A1 - Seidel, Edward A1 - Kielmann, Thilo A1 - Verstoep, Kees A1 - Balaton, Zoltán A1 - Kacsuk, Péter A1 - Szalai, Ferenc A1 - Gehring, Jörn A1 - Keller, Axel A1 - Streit, Achim A1 - Matyska, Ludek A1 - Ruda, Miroslav A1 - Krenek, Ales A1 - Knipp, Harald A1 - Merzky, André A1 - Reinefeld, Alexander A1 - Schintke, Florian A1 - Ludwiczak, Bogdan A1 - Nabrzyski, Jarek A1 - Pukacki, Juliusz A1 - Kersken, Hans-Peter A1 - Aloisio, Giovanni A1 - Cafaro, Massimo A1 - Ziegler, Wolfgang A1 - Russell, Michael T1 - Early experiences with the EGrid testbed T2 - Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid Y1 - 2001 U6 - https://doi.org/10.1109/CCGRID.2001.923185 SP - 130 EP - 137 ER - TY - GEN A1 - Keller, Axel A1 - Reinefeld, Alexander T1 - Anatomy of a Resource Management System for HPC-Clusters N2 - Workstation clusters are often not only used for high-throughput computing in time-sharing mode but also for running complex parallel jobs in space-sharing mode. This poses several difficulties to the resource management system, which must be able to reserve computing resources for exclusive use and also to determine an optimal process mapping for a given system topology. On the basis of our CCS software, we describe the anatomy of a modern resource management system. Like Codine, Condor, and LSF, CCS provides mechanisms for the user-friendly system access and management of clusters. But unlike them, CCS is targeted at the effective support of space-sharing parallel and even metacomputers. Among other features, CCS provides a versatile resource description facility, topology-based process mapping, pluggable schedulers, and hooks to metacomputer management. T3 - ZIB-Report - 00-38 KW - Resource Management System KW - Metacomputer Management Y1 - 2000 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0297-zib-6063 ER -