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Träfflista för sökning "WFRF:(Lundqvist Thomas 1967 ) srt2:(2010-2014)"

Search: WFRF:(Lundqvist Thomas 1967 ) > (2010-2014)

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1.
  • Amoson, Jonas, 1973-, et al. (author)
  • A light-weigh non-hierarchical file system navigation extension
  • 2012
  • In: Proceedings of the 7th International Workshop on Plan 9. - Dublin, Ireland. ; , s. 11-13
  • Conference paper (other academic/artistic)abstract
    • Drawbacks in organising and finding files in hierarchies have led researchers to explorenon-hierarchical and search-based filesystems, where file identity and belonging is pred-icated by tagging files to categories. We have implemented a chdir() shell extension en-abling navigation to a directory using a search expression. Our extension is light-weightand avoids modifying the file system to guarantee backwards compatibility for applicationsrelying on normal hierarchical file namespaces.
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2.
  • de Blanche, Andreas, 1975-, et al. (author)
  • A methodology for estimating co-scheduling slowdowns due to memory bus contention on multicore nodes
  • 2014
  • In: Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, PDCN 2014. - : ACTA Press. - 9780889869677 - 9780889869653 ; , s. 216-223
  • Conference paper (peer-reviewed)abstract
    • When two or more programs are co-scheduled on the same multicore computer they might experience a slowdown due to the limited off-chip memory bandwidth. According to our measurements, this slowdown does not depend on the total bandwidth use in a simple way. One thing we observe is that a higher memory bandwidth usage will not always lead to a larger slowdown. This means that relying on bandwidth usage as input to a job scheduler might cause non-optimal scheduling of processes on multicore nodes in clusters, clouds, and grids. To guide scheduling decisions, we instead propose a slowdown based characterization approach. Real slowdowns are complex to measure due to the exponential number of experiments needed. Thus, we present a novel method for estimating the slowdown programs will experience when co-scheduled on the same computer. We evaluate the method by comparing the predictions made with real slowdown data and the often used memory bandwidth based method. This study show that a scheduler relying on slowdown based categorization makes fewer incorrect co-scheduling choices and the negative impact on program execution times is less than when using a bandwidth based categorization method.
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  • Result 1-2 of 2
Type of publication
conference paper (2)
Type of content
other academic/artistic (1)
peer-reviewed (1)
Author/Editor
Lundqvist, Thomas, 1 ... (2)
Amoson, Jonas, 1973- (1)
de Blanche, Andreas, ... (1)
University
University West (2)
Language
English (2)
Research subject (UKÄ/SCB)
Natural sciences (2)

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