Brussels / 2 & 3 February 2019

schedule

HPC, Big Data and Data Science devroom

Room: UA2.118 (Henriot)
Calendar: iCal, xCal


09 10 11 12 13 14 15 16 17 18
Sunday RAPIDS
Data Science on GPUs		 OpenHPC Update CK: an open-source framework to automate, reproduce, crowdsource and reuse experiments at HPC conferences Couple scientific simulation codes with preCICE
A journey towards sustainable research software		 ReFrame: A Regression Testing and Continuous Integration Framework for HPC systems Reproducible science with containers on HPC through Singularity
Singularity containers		 Nakadi: Streaming Events for 100s of Teams
Serving all sorts of users and use cases, the sane way		 MALT & NUMAPROF, Memory Profiling for HPC Applications Setting up an HPC lab from scratch
with Mr-Provisioner, Jenkins and Ansible		 Feature store: A Data Management Layer for Machine Learning
Data Management for ML		 The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation and beyond The convergence of HPC and BigData
What does it mean for HPC sysadmins?		 Introducing Kubeflow
(w. Special Guests Tensorflow and Apache Spark)		 Validating Big Data Jobs
An exploration with Spark & Airflow (+ friends)		 From Zero to Portability
Apache Beam's Journey to Cross-Language Data Processing		 Speeding up Programs with OpenACC in GCC
... using the compute power of GPUs and other accelerators		 Streaming Pipelines for Neural Machine Translation Deep Learning on Massively Parallel Processing Databases Condition Monitoring & Transfer Learning
Good predictions in situations with (initially) almost no data
Event Speakers Start End

Sunday
  RAPIDS
Data Science on GPUs		 Christoph Angerer 09:00 09:45
  OpenHPC Update Adrian Reber 09:50 10:15
  CK: an open-source framework to automate, reproduce, crowdsource and reuse experiments at HPC conferences Grigori Fursin 10:15 10:40
  Couple scientific simulation codes with preCICE
A journey towards sustainable research software		 Gerasimos Chourdakis 10:45 11:10
  ReFrame: A Regression Testing and Continuous Integration Framework for HPC systems Victor Holanda 11:15 11:40
  Reproducible science with containers on HPC through Singularity
Singularity containers		 Eduardo Arango 11:45 12:10
  Nakadi: Streaming Events for 100s of Teams
Serving all sorts of users and use cases, the sane way		 Lionel Montrieux 12:15 12:25
  MALT & NUMAPROF, Memory Profiling for HPC Applications Sébastien Valat 12:25 12:35
  Setting up an HPC lab from scratch
with Mr-Provisioner, Jenkins and Ansible		 Renato Golin 12:40 12:50
  Feature store: A Data Management Layer for Machine Learning
Data Management for ML		 Kim Hammar 12:50 13:00
  The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation and beyond Alejandro Saucedo 13:00 13:10
  The convergence of HPC and BigData
What does it mean for HPC sysadmins?		 Damien François 13:15 13:40
  Introducing Kubeflow
(w. Special Guests Tensorflow and Apache Spark)		 Holden Karau, Trevor Grant 13:40 14:05
  Validating Big Data Jobs
An exploration with Spark & Airflow (+ friends)		 Holden Karau 14:05 14:30
  From Zero to Portability
Apache Beam's Journey to Cross-Language Data Processing		 Maximilian Michels 14:30 14:55
  Speeding up Programs with OpenACC in GCC
... using the compute power of GPUs and other accelerators		 Thomas Schwinge 15:00 15:25
  Streaming Pipelines for Neural Machine Translation Suneel Marthi, Jörn Kottmann 15:30 15:55
  Deep Learning on Massively Parallel Processing Databases Frank McQuillan 16:00 16:25
  Condition Monitoring & Transfer Learning
Good predictions in situations with (initially) almost no data		 Daniel Germanus, Felix Bert 16:30 16:55