Brussels / 2 & 3 February 2019

schedule

UA2.118 (Henriot)


Day Start End Track(s)
Sunday 09:00 16:55 HPC, Big Data and Data Science
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 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

Events

Title Track Start End

Sunday

  RAPIDS
Data Science on GPUs
HPC, Big Data and Data Science 09:00 09:45
  OpenHPC Update HPC, Big Data and Data Science 09:50 10:15
  CK: an open-source framework to automate, reproduce, crowdsource and reuse experiments at HPC conferences HPC, Big Data and Data Science 10:15 10:40
  Couple scientific simulation codes with preCICE
A journey towards sustainable research software
HPC, Big Data and Data Science 10:45 11:10
  ReFrame: A Regression Testing and Continuous Integration Framework for HPC systems HPC, Big Data and Data Science 11:15 11:40
  Reproducible science with containers on HPC through Singularity
Singularity containers
HPC, Big Data and Data Science 11:45 12:10
  Nakadi: Streaming Events for 100s of Teams
Serving all sorts of users and use cases, the sane way
HPC, Big Data and Data Science 12:15 12:25
  MALT & NUMAPROF, Memory Profiling for HPC Applications HPC, Big Data and Data Science 12:25 12:35
  Setting up an HPC lab from scratch
with Mr-Provisioner, Jenkins and Ansible
HPC, Big Data and Data Science 12:40 12:50
  Feature store: A Data Management Layer for Machine Learning
Data Management for ML
HPC, Big Data and Data Science 12:50 13:00
  The state of machine learning operations in 2019: reproducibility, explainability, bias evaluation and beyond HPC, Big Data and Data Science 13:00 13:10
  The convergence of HPC and BigData
What does it mean for HPC sysadmins?
HPC, Big Data and Data Science 13:15 13:40
  Introducing Kubeflow
(w. Special Guests Tensorflow and Apache Spark)
HPC, Big Data and Data Science 13:40 14:05
  Validating Big Data Jobs
An exploration with Spark & Airflow (+ friends)
HPC, Big Data and Data Science 14:05 14:30
  From Zero to Portability
Apache Beam's Journey to Cross-Language Data Processing
HPC, Big Data and Data Science 14:30 14:55
  Speeding up Programs with OpenACC in GCC HPC, Big Data and Data Science 15:00 15:25
  Streaming Pipelines for Neural Machine Translation HPC, Big Data and Data Science 15:30 15:55
  Deep Learning on Massively Parallel Processing Databases HPC, Big Data and Data Science 16:00 16:25
  Condition Monitoring & Transfer Learning
Good predictions in situations with (initially) almost no data
HPC, Big Data and Data Science 16:30 16:55