Second CERN openlab summer student lightning talk session

Contribution List

1. Welcome and introduction

15/08/2019, 14:00

2. Evaluation of Erasure Coding & other features of Hadoop 3

Nazerke Seidan

15/08/2019, 14:05

Apache Hadoop is a set of 2 domains: data computation such as Spark, MapReduce, Flink, etc and data storage - HDFS. HDFS is a distributed file system. Current HDFS provides 3x replication for data redundancy and availability. But it has 200% storage overhead. However there is a big improvement in Hadoop 3 for replication which is Erasure Coding (EC).
Erasure Coding gives the same level of...

4. Automate Cloud Infrastructure deployment for Oracle Cloud and Openstack

Priyanshu Khandelwal

15/08/2019, 14:12

5. Neuromorphic Computing in High Energy Physics

Bartlomiej Pawel Borzyszkowski

15/08/2019, 14:19

Spiking neural networks are an interesting candidate for signal processing at the High-Luminosity LHC, the next stage of the LHC upgrade. For HL-LHC, new particle detectors will be built, what will allow to take a time-sequence of snapshots for a given collision. This additional information will allow to separate the signal belonging to the interesting collision from those generated parasitic...

6. Evaluate ElastAlert for IT-DB use cases

Dimitra Chatzichrysou

15/08/2019, 14:26

7. Explorations in heterogeneous computing

Davide Marcato

15/08/2019, 14:33

Exploring the use of cupla to write accelerator-independent code.

8. Chaos Monkey

Elizaveta Svitanko

15/08/2019, 14:40

Chaos Monkey

9. Comparing different approaches for hit finding and trigger generation

Jan Niklas Bohm

15/08/2019, 14:47

10. Portable Early Prediction of Sepsis from Clinical Data on Intel Myriad X

Priyanka Kumar Mathur

15/08/2019, 14:54

22. FaaS on Kubernetes with Knative

Juan Carlos Gallegos Dupuis

15/08/2019, 15:01

Knative is a relatively new technology that extends the Kubernetes API to support deployment of server-less apps. On the CERN cloud team, we are investigating Knative as a candidate technology for offering Function-as-a-Service (FaaS) infrastructure to CERN cloud users.

11. Machine Learning and Kubernetes

Fedor Kitashov

15/08/2019, 15:08

Fedor Kitashov

13. Anomaly Detection in the Elasticsearch Service

Jennifer Rosina Andersson

15/08/2019, 15:35

14. Performance Study of Parquet Codecs

Javier Garcia Rubio

15/08/2019, 15:42

Performance Study of Parquet Codecs

15. Performance monitoring using intel performance counters for HEP applications

Khadidja Hadj Henni

15/08/2019, 15:49

16. Graph Neural Network(GNN) Inference of FPGA

Kazi Ahmed Asif Fuad

15/08/2019, 15:56

17. Modeling HEP Workloads under Multidimensional Restrictions

Riccardo Maganza

15/08/2019, 16:03

18. Progressive GAN for satellite image generation

Yoann Boget

15/08/2019, 16:10

19. support JS rendering websites in The CERN Search Crawler

Khanssa El Amrouni (Openlab Summer Student)

15/08/2019, 16:17

support JS rendering websites in The CERN Search Crawler

20. Benchmarking and optimising large scale parallel workflows

Mr Jesus Perales Hernandez

15/08/2019, 16:24

21. Building effective Restful APIs with Oracle Rest Data Services (ORDS) 19

Iheb Eddine Imad

15/08/2019, 16:31

12. Big data analysis and machine learning in the cloud

Mr Michal Bien

15/08/2019, 16:38

23. Accelerating TMVA Deep Learning - Integration of the NVIDIA cuDNN Library

Joana Niermann

15/08/2019, 16:45

24. Farewell and best lightning talk drink openlab summer students

15/08/2019, 17:22

3. Priyanka Mathur

Priyanka Kumar Mathur