{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:17:25Z","timestamp":1740028645930,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>For many years, the number of processing units per compute node is increasing significantly. For utilizing all or most of the available compute resources of a high-performance computing cluster, at least some of its nodes will have to be shared by several applications at the same time. Even if jobs are co-scheduled on a node, it can happen that compute resources remain idle, although there may be jobs that could make use of them (e.g., if the resource was temporarily blocked when the job was started). Heterogeneous schedulers, which schedule tasks for different devices, can bind jobs to resources in a way that can significantly reduce the idle time. Typically, such schedulers make their decisions based on a static strategy.<\/jats:p>","DOI":"10.3233\/978-1-61499-730-6-142","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T15:30:51Z","timestamp":1739979051000},"source":"Crossref","is-referenced-by-count":0,"title":["Impact of the Scheduling Strategy in Heterogeneous Systems That Provide Co-Scheduling"],"prefix":"10.3233","author":[{"family":"S&uuml;&szlig; Tim","sequence":"additional","affiliation":[]},{"family":"D&ouml;ring Nils","sequence":"additional","affiliation":[]},{"family":"Gad Ramy","sequence":"additional","affiliation":[]},{"family":"Nagel Lars","sequence":"additional","affiliation":[]},{"family":"Brinkmann Andr&eacute;","sequence":"additional","affiliation":[]},{"family":"Feld Dustin","sequence":"additional","affiliation":[]},{"family":"Schricker Eric","sequence":"additional","affiliation":[]},{"family":"Soddemann Thomas","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Advances in Parallel Computing","Co-Scheduling of HPC Applications"],"original-title":[],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T15:38:49Z","timestamp":1739979529000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-729-0&spage=142&doi=10.3233\/978-1-61499-730-6-142"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-730-6-142","relation":{},"ISSN":["0927-5452"],"issn-type":[{"value":"0927-5452","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}