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DTSTAMP:20191206T142454Z
LOCATION:Analog 1\, 2
DTSTART;TZID=Europe/Stockholm:20180626T134500
DTEND;TZID=Europe/Stockholm:20180626T141500
UID:isc_hpc_ISC High Performance 2018_sess111_pap112@linklings.com
SUMMARY:Heterogeneity-aware Resource Allocation in HPC Systems
DESCRIPTION:Research Paper\n\nHeterogeneity-aware Resource Allocation in H
 PC Systems\n\nNetti, Galleguillos, Kiziltan, Sirbu, Babaoglu\n\nIn their m
 arch towards exascale performance, HPC systems are becoming increasingly m
 ore heterogeneous in an effort to keep power consumption at bay. Exploitin
 g accelerators such as GPUs and MICs together with traditional processors 
 to their fullest requires heterogeneous HPC systems to employ intelligent 
 job dispatchers that go beyond the capabilities of those that have been de
 veloped for homogeneous systems. In this paper, we propose three new heter
 ogeneity-aware resource allocation algorithms suitable for building job di
 spatchers for any HPC system. We use real workload traces extracted from t
 he Eurora HPC system to analyze the performance of our allocators when the
 y are coupled with different schedulers. Our experimental results show tha
 t significant improvements can be obtained in job response times and syste
 m throughput over solutions developed for homogeneous systems. Our study a
 lso helps to characterize the operating conditions in which heterogeneity-
 aware resource allocation becomes crucial for heterogeneous HPC systems.\n
 \nPasses: Conference Pass, Exascale Systems, HPC Centre Planning and Opera
 tions, Heterogeneous Systems, Scheduling, System Software & Runtime System
 s\n\nTag: Conference Pass, Exascale Systems, HPC Centre Planning and Opera
 tions, Heterogeneous Systems, Scheduling, System Software & Runtime System
 s
URL:https://2018.isc-program.com/presentation/?id=pap112&sess=sess111
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