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DTSTAMP:20191206T142453Z
LOCATION:Substanz 1\, 2
DTSTART;TZID=Europe/Stockholm:20180626T083000
DTEND;TZID=Europe/Stockholm:20180626T100000
UID:isc_hpc_ISC High Performance 2018_sess113_post120@linklings.com
SUMMARY:(RP03) HPC with Unstructured Meshes on Novel Architectures
DESCRIPTION:Research Poster\n\n(RP03) HPC with Unstructured Meshes on Nove
 l Architectures\n\nLumi, Haase\n\nThis poster focuses on many-core paralle
 l solvers for discretized linear and non-linear partial differential equat
 ions in the context of cardiovascular applications. Analyses is performed 
 on a set of applications with unstructured discretization based on tetrahe
 dral meshes being considered as part of the co-design process in Mont-Blan
 c 3. We perform evaluations and analysis on both ARM and Intel based platf
 orms. We also demonstrate how algorithmic changes and different of memory 
 access patterns [1] reduce the overall energy consumption [2]. Performance
  tools [3] identifies fundamental issues that limit performance on the cur
 rently available platforms and through predictive studies we identify rele
 vant issues at larger scales. Overall, load imbalance is identified as a v
 ery important issue. Operating system noise, interaction between NUMAness 
 and process migration, and memory bandwidth limitations have different imp
 acts depending on the application characteristics. APIs to shift frequency
 , memory bandwidth or cache capacity between processes allow to compensate
  small imbalances during runtime. Co-design between the architecture, the 
 operating system and the runtime is the key to achieve high efficiency.\n\
 nPasses: Conference Pass, Energy consumption, Parallel Applications, Perfo
 rmance Analysis and Optimization\n\nTag: Conference Pass, Energy consumpti
 on, Parallel Applications, Performance Analysis and Optimization
URL:https://2018.isc-program.com/presentation/?id=post120&sess=sess113
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