As our hosting confernce ISC canceld this years meeting, we will move on and turn our workshop into an online event within the framework of the planed ISC online event:
Over the last few years, Machine Learning (and in particular Deep Learning) (ML / DL) has become an important research topic in the High Performance Computing (HPC) community. Bringing new users and data intensive applications on HPC systems, ML / DL is increasingly affecting the design and operation of compute infrastructures. On the other hand, the ML / DL community is just getting started to utilize the performance of HPC, leaving many opportunities for better parallelization and scalability. The intent of this workshop is to bring together researchers and practitioners to discuss three key topics in the context of High Performance Computing and Machine Learning / Deep Learning: parallelization and scaling of ML / DL algorithms, ML / DL applications on HPC systems, and HPC systems design and optimization for ML / DL workloads.
Date: in conjunction with the ISC 2020 online event
- recordings of the talks will be available statting 6/20 on this site
Topics / Scope
The aim of the workshop is to provide a platform for technical discussions and the presentation of work in progress, as well as, unsolved problems, which is complementary to the “Machine Learning Day” in the main conference program.
- Unsolved problems in ML / DL on HPC systems
- Scalable ML / DL algorithms
- Parallelization techniques
- Libraries for ML / DL
- Tools + workflows for ML / DL on HPC systems
- Optimized HPC systems design and setup for efficient ML / DL
- ML / DL applications on HPC Systems
MLHPCS paper will be published in the Springer LNCS post Conference Proceedings of the ISC.
» Deploying machine learning algorithms at Petaflop scale on secure HPC production systems with containers
by David Brayford form LRZ
by Sunna Torge form TU Dresden
by Peter Labus form Fraunhofer ITWM
presented by Philipp Rombach form the Institute for Machine Learning and Analytics (IMLA) at Offenburg University, Germany
presented by Emily Herron form the University of Tennessee.
by Xavier Teruel form BSC
- Juan J. Durillo (LRZ, Munich)
- Dennis Hoppe (HLRS, Stuttgart)
- Jenia Jitsev (JSC, Jülich)
- Janis Keuper (IMLA / Fraunhofer ITWM)
- Sunna Torge (ZIH, Dresden)