GPU Servers for Research in Quantum Fluids L. Galantucci HPC & - - PowerPoint PPT Presentation

gpu servers for research in quantum fluids l galantucci
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GPU Servers for Research in Quantum Fluids L. Galantucci HPC & - - PowerPoint PPT Presentation

Introduction GPU Servers Research Conclusion GPU Servers for Research in Quantum Fluids L. Galantucci HPC & Quantum Summit QEII Centre, London, 5 February 2019 Introduction GPU Servers Research Conclusion Overview Introduction 1


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Introduction GPU Servers Research Conclusion

GPU Servers for Research in Quantum Fluids

  • L. Galantucci

HPC & Quantum Summit QEII Centre, London, 5 February 2019

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Introduction GPU Servers Research Conclusion

Overview

1

Introduction

2

GPU Servers

3

Research

4

Conclusion

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Introduction GPU Servers Research Conclusion

Overview

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Introduction

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GPU Servers

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Research

4

Conclusion

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JQC Durham - Newcastle

22 staff 23 Post Doc 28 PhD Grants ∼ 15M£(EPSRC)

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Newcastle University

School of Mathematics, Statistics and Physics

9 staff 4 Post Doc 5 PhD

Quantum Turbulence Quantum Vortices Bose Einstein Condensates Superfluid Helium

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Quantum fluids Group

School of Mathematics, Statistics and Physics

  • Prof. Barenghi
  • Dr. Parker

Quantum Vortex Reconnections in Trapped Atomic BECs EP/R005192/1 10/2017 - 09/2020 374,496 £ ∼ 45,000 £ equipment

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Overview

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Introduction

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GPU Servers

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Research

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Conclusion

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Tesla V100 GPUs Server

comparison BEC experiments in Trento 4×105 → 4×107 atoms ×100 computing power memory 64 GB past: 24 CPU node, 128 GB IBM POWER9 GPU Server 2× 16-core 2.60 GHz POWER9 256 GB DDR4 Memory 4x NVIDIA Tesla V100 GPU NVLINK SXM2 Tesla V100 GPUs 5120 cores 7.850 GFLOPS 16 GB Memory HBM2 Mem → 900 GB/sec

[NVIDIA Tesla V100 SXM2 Module]

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Introduction GPU Servers Research Conclusion

NVLINK 2.0

NVIDIA - IBM NVLINK 2.0: 300 GB/s

  • GPU - GPU
  • GPU - CPU

NVIDIA - INTEL NVLINK 1.0: 160 GB/s

  • GPU - GPU

PCIe: 32GB/s GPU - CPU

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Introduction GPU Servers Research Conclusion

Overview

1

Introduction

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GPU Servers

3

Research

4

Conclusion

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Quantum Vortex Reconnections

Quantum vortices

  • ne-dimensional objects

hollow core source of rotational motion Importance of Reconnections redistribute energy quantum turbulence dissipate energy

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Plasmas

Magnetic Flux Tubes

reconnections of magnetic field lines

[Zhike et al., Nat. Com. (2016)]

anomalous heating of solar corona

[Cirtain et al., Nature (2013)]

explosive events, solar and stellar flares

[Che et al., Nature (2011)]

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Polymers and DNA

long chains of atoms [Marenduzzo et al., PNAS (2009)] [Marenda et al., Nat Comm (2018)]

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Optical beams

lines of zero intensity [Dennis et al., Nature (2010)]

  • ptical vortices

phase singularities

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Nematic Liquid Crystals

Topological Defects [Chuang et al., Science (1991)]

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Classical and Quantum Fluids

vortices [Hussain et al., Phys. Fluids (2011)] [LG et al., subm. PNAS (2018)]

vortex tubes vortex lines

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Quantum Vortex Reconnections

Visualization

collaboration with BEC Centre, Trento core ∼ 0.5µm, size ∼ 50µm innovative stroboscopic technique

  • rientation of vortices

rebound reconnection

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Quantum Vortex Reconnections

Universal aspects scaling distance δ(t) energy dissipation ǫ Controlled Vortex Generation laser beams atomtronics

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Overview

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Introduction

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GPU Servers

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Research

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Conclusion

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Summary

IBM POWER9 GPU Server 4× Tesla V100 GPUs NVLINK 2.0 speed up ∼ 80× Quantum Vortex Reconnections visualization fundamental aspects controlled vortex generation