001     837482
005     20210129231341.0
020 _ _ |a 978-1-61499-729-0
020 _ _ |a 9781614997290 (print)
037 _ _ |a FZJ-2017-06395
041 _ _ |a English
100 1 _ |a Clauss, Carsten
|0 P:(DE-HGF)0
|b 0
|e Corresponding author
111 2 _ |a Workshop on Co-Scheduling
|g COSH 2016
|c Prague
|d 2016-01-18 - 2016-01-20
|w Czech Republic
245 _ _ |a Allocation-Internal Co-Scheduling - Interaction and Orchestration of Multiple Concurrent MPI Sessions
260 _ _ |a Amsterdam
|c 2017
|b IOS Press BV
295 1 0 |a Co-Scheduling of HPC Applications
300 _ _ |a 46 - 68
336 7 _ |a Contribution to a conference proceedings
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336 7 _ |a BOOK_CHAPTER
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336 7 _ |a Book Section
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336 7 _ |a INBOOK
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336 7 _ |a Contribution to a book
|b contb
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|0 PUB:(DE-HGF)7
|s 1505473767_21925
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490 0 _ |a Advances in Parallel Computing
|v 28
520 _ _ |a Heading towards exascale, the challenges for process management with respect to flexibility and efficiency grow accordingly. Running more than one application simultaneously on a node can be the solution for better resource utilization. However, this approach of co-scheduling can also be the way to go for gaining a degree of flexibility with respect to process management that can enable some kind of interactivity even in the domain of high-performance computing. This chapter gives an introduction into such co-scheduling policies for running multiple MPI sessions concurrently and interactively within a single user allocation. The chapter initially introduces a taxonomy for classifying the different characteristics of such a flexible process management, and discusses actual manifestations thereof during the course of the reading. In doing so, real world examples are motivated and presented by means of ParaStation MPI, a high-performance MPI library supplemented by a complete framework comprising a scalable and dynamic process manager. In particular, four scheduling policies, implemented in ParaStation MPI, are detailed and evaluated by applying a benchmarking tool that has especially been developed for measuring interactivity and dynamicity metrics of job schedulers and process managers for high-performance computing.
536 _ _ |a 513 - Supercomputer Facility (POF3-513)
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536 _ _ |a DEEP-ER - DEEP Extended Reach (610476)
|0 G:(EU-Grant)610476
|c 610476
|f FP7-ICT-2013-10
|x 1
588 _ _ |a Dataset connected to Library of Congress
700 1 _ |a Moschny, Thomas
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Eicker, Norbert
|0 P:(DE-Juel1)132090
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|l Supercomputing & Big Data
914 1 _ |y 2017
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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980 _ _ |a contb
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