Brussels / 2 & 3 February 2019

schedule

UA2.118 (Henriot)


Day Start End Track(s)
Saturday 15:10 → 19:00 MySQL, MariaDB and Friends
Sunday 09:00 → 16:55 HPC, Big Data and Data Science
09 10 11 12 13 14 15 16 17 18
Saturday MariaDB and MySQL — what statistics optimizer needs
or when and how not to use indexes		 MySQL and the CAP theorem: relevance & misconceptions
Dissecting, affirming and refuting CAP assumptions in real production systems.		 How to create a useful MySQL bug report
...and make sure it's properly processed		 How Online Backup works in MyRocks and RocksDB TiDB: Distributed, horizontally scalable, MySQL compatible MySQL Performance Schema in 20 Minutes MySQL 8.0 Component Infrastructure
Why, what's there, what's next and how to use it		 MySQL 8.0 Document Store: How to Mix NoSQL & SQL in MySQL 8.0
a database where developers and DBAs live in peace
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

Events

Title Track Start End

Saturday
  MariaDB and MySQL — what statistics optimizer needs
or when and how not to use indexes		 MySQL, MariaDB and Friends 15:10 15:30
  MySQL and the CAP theorem: relevance & misconceptions
Dissecting, affirming and refuting CAP assumptions in real production systems.		 MySQL, MariaDB and Friends 15:40 16:00
  How to create a useful MySQL bug report
...and make sure it's properly processed		 MySQL, MariaDB and Friends 16:10 16:30
  How Online Backup works in MyRocks and RocksDB MySQL, MariaDB and Friends 16:40 17:00
  TiDB: Distributed, horizontally scalable, MySQL compatible MySQL, MariaDB and Friends 17:10 17:30
  MySQL Performance Schema in 20 Minutes MySQL, MariaDB and Friends 17:40 18:00
  MySQL 8.0 Component Infrastructure
Why, what's there, what's next and how to use it		 MySQL, MariaDB and Friends 18:10 18:30
  MySQL 8.0 Document Store: How to Mix NoSQL & SQL in MySQL 8.0
a database where developers and DBAs live in peace		 MySQL, MariaDB and Friends 18:40 19:00

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
... using the compute power of GPUs and other accelerators		 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