[hpc-announce] Cfp for the second workshop on Machine Learning on HPC Systems (an ISC 2021 workshop)

[Durillo Barrionuevo, Juan]

The second workshop on Machine Learning on HPC Systems is an online event, held in conjunction with the ISC 2021 (July 2nd).

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. This comes along with new users and data intensive applications on HPC systems, which increasingly affects the design and operation of compute infrastructures. Bringing new users and data intensive applications on HPC systems, ML/DL methods are 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 out many opportunities for better parallelization and scalability. The intent of this workshop is to bring together researchers and practitioners from all communities to discuss three key topics in the context of High Performance Computing and learning methods: 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 2021 online conference
ISC’21 is held from June 24th until July 2nd
Workshop date: July 2nd

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

Call for Paper
MLPCS ‘21 has a two stage submission process: submit a 1-2 page extended abstract to contribute with a talk to MLHPCS. Additionally, authors optionally can submit a post-conference paper for publication in LNCS.

Abstract submission
Extended abstracts are due by NEW DEADLINE: May 14th (end of day anywhere on earth)

Full paper
MLHPCS paper will be published in the Springer LNCS post Conference Proceedings of the ISC.
Full papers of accepted abstracs are due by July 10th and will undergo a full review process.

Additional information can be found here: https://keuperj.github.io/MLHPCS/