Energy consumption optimization of the Total-FETI solver and BLAS routines by changing the CPU frequency

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86098796" target="_blank" >RIV/61989100:27740/16:86098796 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27240/16:86098796

Result on the web

<a href="http://dx.doi.org/10.1109/HPCSim.2016.7568453" target="_blank" >http://dx.doi.org/10.1109/HPCSim.2016.7568453</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/HPCSim.2016.7568453" target="_blank" >10.1109/HPCSim.2016.7568453</a>

Result language

angličtina

Original language name

Energy consumption optimization of the Total-FETI solver and BLAS routines by changing the CPU frequency

Original language description

The energy consumption of supercomputers is one of the critical problems for the upcoming Exascale supercomputing era. The awareness of power an energy consumption is required on both software and hardware side. This poster deals with the energy consumption evaluation of the Total-Finite Element Tearing and Interconnect (TFETI) based solvers [2] of linear systems implemented in PERMON toolbox [1], which is an established method for solving real-world engineering problems, and with the energy consumption evaluation of the BLAS routines. The experiments performed in the poster deal with CPU frequency. This work is performed in the scope of the READEX project (Runtime Exploitation of Application Dynamism for Energy-efficient eXascale computing) [6]. The measurements were performed on the Intel Xeon E5-2680 (Intel Haswell micro-architecture) based Taurus system installed at TU Dresden. The system contains over 1400 nodes that have an FPGA-based power instrumentation called HDEEM (High Definition Energy Efficiency Monitoring), that allows for fine-grained and more accurate power and energy measurements. The measurements can be accessed through the HDEEM library, allowing developers to take energy measurements before and after the region of interest. We have evaluated the effect of the CPU frequency on the energy consumption of the TFETI solver for a linear elasticity 3D cube synthetic benchmark. On the dualized problem MPFX=MPd, we have evaluated the effect of frequency tuning on the energy consumption of the essential processing kernels of the TFETI method. There are two main phases in TFETI - preprocessing and solve. In preprocessing it is necessary to regularize the stiffness matrix K and factorize it and to assemble the G and GGT matrices and the second one to factorize. Both operations belong to the most time and also energy consuming operations.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

International Conference on High Performance Computing &amp; Simulation (HPCS)

ISBN

978-1-5090-2088-1

ISSN

—

e-ISSN

—

Number of pages

2

Pages from-to

1031-1032

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

New York

Event location

Innsbruck

Event date

Jul 18, 2016

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000389590600144