Second CERN openlab summer student lightning talk session

Contribution List

1. Welcome and introduction

8/15/19, 2:00 PM

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

Nazerke Seidan

8/15/19, 2:05 PM

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

8/15/19, 2:12 PM

5. Neuromorphic Computing in High Energy Physics

Bartlomiej Pawel Borzyszkowski

8/15/19, 2:19 PM

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

8/15/19, 2:26 PM

7. Explorations in heterogeneous computing

Davide Marcato

8/15/19, 2:33 PM

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

8. Chaos Monkey

Elizaveta Svitanko

8/15/19, 2:40 PM

Chaos Monkey

9. Comparing different approaches for hit finding and trigger generation

Jan Niklas Bohm

8/15/19, 2:47 PM

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

Priyanka Kumar Mathur

8/15/19, 2:54 PM

22. FaaS on Kubernetes with Knative

Juan Carlos Gallegos Dupuis

8/15/19, 3:01 PM

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

8/15/19, 3:08 PM

Fedor Kitashov

13. Anomaly Detection in the Elasticsearch Service

Jennifer Rosina Andersson

8/15/19, 3:35 PM

14. Performance Study of Parquet Codecs

Javier Garcia Rubio

8/15/19, 3:42 PM

Performance Study of Parquet Codecs

15. Performance monitoring using intel performance counters for HEP applications

Khadidja Hadj Henni

8/15/19, 3:49 PM

16. Graph Neural Network(GNN) Inference of FPGA

Kazi Ahmed Asif Fuad

8/15/19, 3:56 PM

17. Modeling HEP Workloads under Multidimensional Restrictions

Riccardo Maganza

8/15/19, 4:03 PM

18. Progressive GAN for satellite image generation

Yoann Boget

8/15/19, 4:10 PM

19. support JS rendering websites in The CERN Search Crawler

Khanssa El Amrouni (Openlab Summer Student)

8/15/19, 4:17 PM

support JS rendering websites in The CERN Search Crawler

20. Benchmarking and optimising large scale parallel workflows

Mr Jesus Perales Hernandez

8/15/19, 4:24 PM

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

Iheb Eddine Imad

8/15/19, 4:31 PM

12. Big data analysis and machine learning in the cloud

Mr Michal Bien

8/15/19, 4:38 PM

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

Joana Niermann

8/15/19, 4:45 PM

24. Farewell and best lightning talk drink openlab summer students

8/15/19, 5:22 PM

3. Priyanka Mathur

Priyanka Kumar Mathur