IEEE eScience Parallel Track: Exascale in HEP

Contribution List

3. Welcome and Opening Remarks

31/10/2018, 08:30

Session 1

9. Understanding the performance of a prototype of a WLCG data lake for HL-LHC

Dr Jaroslava Schovancová (CERN)

31/10/2018, 08:40

Session 1

4. Modelling High-Energy Physics Data Transfers

Dr Joaquin Bogado (Universidad Nacional de la Plata, Buenos Aires, Argentina)

31/10/2018, 09:00

Session 1

10. Distributed and on-demand cache for CMS experiment at LHC

Dr Elizabeth Sexton-Kennedy (Fermilab)

31/10/2018, 09:20

Session 1

5. Keynote: Satisfying the Ever Growing Appetite of HEP for High Throughput Computing

Prof. Miron Livny (University of Wisconsin)

31/10/2018, 09:40

Session 1

6. Fine-grained processing towards HL-LHC computing in ATLAS

Vakho Tsulaia

31/10/2018, 13:30

Session 2

7. Implementation of the ATLAS trigger within the ATLAS Multi-Threaded Software Framework AthenaMT

Tim Martin

31/10/2018, 13:50

Session 2

11. Modelling Impact of Execution Strategies on Resource Utilization

Alexey Poyda

31/10/2018, 14:10

Session 2

8. Towards Exascale Computing for High Energy Physics: The ATLAS Experience at ORNL

Shantenu Jha

31/10/2018, 14:30

Session 2

12. Simulating HEP Workflows on Heterogeneous Architecture

Charles Leggett

31/10/2018, 14:50

Session 2

13. TrackML: a High Energy Physics particle tracking challenge

Andrey Ustyuzhanin

31/10/2018, 15:30

Session 3

14. Automated Parallel Calculation of Collaborative Statistical Models in RooFit

Patrick Bos

31/10/2018, 15:50

Session 3

15. Strategies for Modeling Extreme Luminosities in the CMS Simulation

31/10/2018, 16:10

Session 3

16. Deep generative models for fast shower simulation in ATLAS

31/10/2018, 16:30

Session 3

17. Poster pitches

Dr Eukeni Pozo Astigarraga (CERN)

31/10/2018, 16:50

Session 3

18. Closing remarks

31/10/2018, 16:55

Session 3

0. Collaborative analysis at a global scale with SWAN: Jupyter-as-a-service

Dr Massino Lamanna (CERN)

2. Getting researchers to the data: data from the lake

Dr Jaroslava Schovancová (CERN)

1. Reusable data, reproducible analyses: today, tomorrow, next decade

Dr Tibor Simko (CERN)

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