--- res: bibo_abstract: - The availability of commodity high performance components for workstations and networks made it possible to build up large, PC based compute clusters at modest costs. These clusters seem to be a realistic alternative to proprietary, massively parallel systems with respect to the price/performance ratio. However, from the administration point of view, those systems are still often solely a collection of autonomous nodes, connected by a fast short area network. Therefore, aiming at providing the best possible performance in daily work to all users, a lot of work has to be done before obtaining the expected result. The paper describes the problem areas we had to cope with during the integration of two large SCI clusters (one with 64 and one with 192 processors) in the environment of the Paderborn Center for Parallel Computing.@eng bibo_authorlist: - foaf_Person: foaf_givenName: Axel foaf_name: Keller, Axel foaf_surname: Keller foaf_workInfoHomepage: http://www.librecat.org/personId=15274 - foaf_Person: foaf_givenName: Andreas foaf_name: Krawinkel, Andreas foaf_surname: Krawinkel bibo_doi: 10.1109/CCGRID.2001.923207 dct_date: 2001^xs_gYear dct_language: eng dct_title: Lessons Learned While Operating Two Large SCI Clusters@ ...