poster contact name p5286 nicolas delbosc: mnnd leeds.ac...

1
hot air created by the servers cold air coming from the floor vent air is exiting at the CRAC unit servers (and other engineering applications) Motivations Fluid Simulation User Inputs (keyboard, mouse, motion sensors...) Boundary Conditions Fast Visualisation (3D rendering, graphs, VR...) Coupled Model We gratefully acknowledge the support of NVIDIA with the donation of the Tesla K40 GPU used for this research. Turbulence Model: Smagorinsky LES Saving Energy in Data Centers Using Real‐Time Simulation N. Delbosc, A. Khan, J.L. Summers 1 2 1 1 School of Mechanical Engineering, School of Civil Engineering, University of Leeds, UK 2 Lattice Boltzmann Method Context: up to 40% of the energy spent in Data Centres is on cooling. Objective: to develop a real-time indoor airflow simulation tool allowing: optimisation of ventilation system design, control and prediction of thermal loads. Benchmark Data Center Real‐Time CFD Model Performances Results (live demo) Tricks for the Tesla K40 Other Applications References Acknowlegments CPU Tesla C2070 Tesla K40 GTX Titan GTX Titan Z GTX 780 Ti 440 200 192 720 10-20 Brix (GTX 760) 743 1515 1480 740 786 1580 556 1785 500 1000 1500 double precision single precision disable ECC: (14% faster) disable GPU boost: (13% faster) combined speed increase: +27% microscopic scale mesoscopic scale macroscopic scale LBM Navier‐Stokes Particle Methods velocity, pressure distribution functions particles position and momentum (higher is better) MLUPS 1 2 3 4 5 6 Velocity Temperature D3Q19 D3Q6 1 2 3 4 5 6 a d v e c t i o n B o u s s i n e s q Boussinesq forcing term: 7 8 9 10 11 12 13 14 15 16 17 18 variable IT load powers flow rates temperatures ... Optimized implementation graphics processing unit towards real-time fluid simulation. (CAMWA 2013) http://dx.doi.org/10.1016/j.camwa.2013.10.002 http://www.efm.leeds.ac.uk/~mnnd/index.php nvidia-smi -e 0 nvidia-smi -ac 3004,875 The framework can be used for other applications. example: hospital

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Page 1: POSTER CONTACT NAME P5286 Nicolas Delbosc: mnnd leeds.ac ...on-demand.gputechconf.com/gtc/2015/posters/GTC_2015_Computat… · Tricks for the Tesla K40 Other Applications References

hot aircreated bythe serverscold air

coming fromthe floor vent

air is exitingat the CRAC unit

servers

(and other engineering applications)

MotivationsFluid Simulation

User Inputs(keyboard, mouse, motion sensors...)

BoundaryConditions

FastVisualisation(3D rendering,graphs, VR...)

Coupled Model

We gratefully acknowledge the support of NVIDIA with the donation of the Tesla K40 GPU used forthis research.

Turbulence Model: Smagorinsky LES

Saving Energy in Data Centers Using Real‐Time SimulationN. Delbosc, A. Khan, J.L. Summers1 2 1

1School of Mechanical Engineering, School of Civil Engineering, University of Leeds, UK2

Lattice Boltzmann Method

Context: up to 40% of the energy spentin Data Centres is on cooling.Objective: to develop a real-time indoorairflow simulation tool allowing: optimisation of ventilation system design, control and prediction of thermal loads. Benchmark Data Center

Real‐Time CFD Model

Performances

Results (live demo)

Tricks for the Tesla K40

Other Applications

References

Acknowlegments

CPU

Tesla C2070

Tesla K40

GTX Titan

GTX Titan Z

GTX 780 Ti

440200

192720

10-20

Brix(GTX 760)

7431515

1480740

7861580

5561785

500 1000 1500double precision single precision

disable ECC: (14% faster)

disable GPU boost: (13% faster)

combined speed increase: +27%

microscopicscale

mesoscopicscale

macroscopicscale

LBM Navier‐StokesParticle

Methods

velocity, pressuredistribution functionsparticles position and momentum

(higher is better)MLUPS

12

3

4

5

6

Velocity Temperature

D3Q19 D3Q6

12

3

4

5

6

advection

Boussinesq

Boussinesq forcing term:

7

8 9

10

11

1213

1415

16

17

18

variableIT loadpowers

flow ratestemperatures

...

Optimized implementation graphics processing unit towards real-time fluid simulation. (CAMWA 2013)http://dx.doi.org/10.1016/j.camwa.2013.10.002http://www.efm.leeds.ac.uk/~mnnd/index.php

nvidia-smi -e 0

nvidia-smi -ac 3004,875

The framework can be used for other applications.

example: hospital

CONTACT NAME

Nicolas Delbosc: [email protected]

P5286

CATEGORY: COMPUTATIONAL PHYSICS - CP20