{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T15:45:46Z","timestamp":1750952746035,"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>Only few High-Performance Computing (HPC) applications exploit the whole computing power of current supercomputers. This trend is not likely to change in the near future since the performance increase is expected to stem from explicit parallelism adding to the burden of the application programmers to write efficient code. Co-scheduling is expected to be one means to cope with this issue by a revocation of the exclusive assignment of jobs to nodes and vice versa. This approach demands for dynamic schedules as jobs come and go influencing the optimal distribution of the processes across the cluster. Therefore, we consider virtualization techniques valuable for future supercomputers. On the one hand, they facilitate a strong isolation between applications running on the same nodes and enable the seamless migration thereof. On the other hand, recent hardware developments diminish the performance gap that is introduced by the virtualization layer to native execution.<\/jats:p>","DOI":"10.3233\/978-1-61499-730-6-114","type":"book-chapter","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T15:30:51Z","timestamp":1739979051000},"source":"Crossref","is-referenced-by-count":2,"title":["Virtualization in HPC"],"prefix":"10.3233","author":[{"family":"Pickartz Simon","sequence":"additional","affiliation":[]},{"family":"Breitbart Jens","sequence":"additional","affiliation":[]},{"family":"Clauss Carsten","sequence":"additional","affiliation":[]},{"family":"Lankes Stefan","sequence":"additional","affiliation":[]},{"family":"Monti Antonello","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":"2025-02-19T15:44:14Z","timestamp":1739979854000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-729-0&spage=114&doi=10.3233\/978-1-61499-730-6-114"}},"subtitle":["An Enabler for Adaptive Co-Scheduling?"],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-730-6-114","relation":{},"ISSN":["0927-5452"],"issn-type":[{"value":"0927-5452","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}