Harnessing Performance Variability: A HPC-Oriented Application Scenario

Massari, Giuseppe; Libutti, Simone; Portero, Antoni; Vavrik, Radim; Kuchař, Štěpán; Vondrák, Vít; Borghese, Luca; Fornaciari, William

doi:10.1109/dsd.2015.87

Cited by 4 publications

(1 citation statement)

References 13 publications

(13 reference statements)

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“…In the context of this work, we employ the HARPA-OS runtime resource manager [9,10]. HARPA-OS enables the management of multiple applications that compete on the usage of multiple many core computation devices.…”

Section: Run-time Resource Managermentioning

confidence: 99%

Just-In-Time Execution Through On-Demand Resource Allocation in HPC Systems

Portero¹,

Podhoranyi²,

Hrbac³

et al. 2017

Proceedings of the 1st International Conference on Algorithms, Computing and Systems

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This article is centred on a mathematical weather forecasting model that must run regularly (i.e. 24/7) on an HPC system. Depending on the environmental conditions, each execution of the model may have a different deadline and a different accuracy requirement. In order to minimize power consumption and heat, we minimize resource allocation as far as the deadlines allow, thus evenly spreading resource usage over time while nonetheless complying with the deadlines. Our work relies on a run-time resource manager that adapts resource allocation to the runtimevariable performance demand of applications. The resource assignment is temperature-aware: the application is dynamically migrated on the coolest cores, and this has a positive impact on the system reliability. CCS Concepts• Computing methodologies ➝ Simulation evaluation • Computing methodologies ➝ Simulation environments • Computing methodologies ➝ Concurrent algorithms.

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Section: Run-time Resource Managermentioning

confidence: 99%

Just-In-Time Execution Through On-Demand Resource Allocation in HPC Systems

Portero¹,

Podhoranyi²,

Hrbac³

et al. 2017

Proceedings of the 1st International Conference on Algorithms, Computing and Systems

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Floreon+ Modules: A Real-World HARPA Application in the High-End HPC System Domain

Portero¹,

Vavrik²,

Golasowski³

et al. 2018

Harnessing Performance Variability in Embedded and High-Performance Many/Multi-Core Platforms

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The HARPA-OS

Libutti

Massari

Fornaciari

2018

Harnessing Performance Variability in Embedded and High-Performance Many/Multi-Core Platforms

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Harnessing Performance Variability: A HPC-Oriented Application Scenario

Cited by 4 publications

References 13 publications

Just-In-Time Execution Through On-Demand Resource Allocation in HPC Systems

Just-In-Time Execution Through On-Demand Resource Allocation in HPC Systems

Floreon+ Modules: A Real-World HARPA Application in the High-End HPC System Domain

The HARPA-OS

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