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Balazs Gerofi


Dr. Balazs Gerofi is an expert in system software and parallel / distributed computing. In particular Balasz is interested in operating systems (kernel architectures for many-core CPUs, memory management, file systems), HPC (parallel and distributed I/O, resiliency), virtualisation, and fault tolerant computing (replication, checkpoint-restart, message-logging).

Balazs is a Research Scientist at the System Software Research Team, part of the RIKEN Advanced Institute for Computational Science (AICS), Tokyo, Japan

He is the Co-Editor of Operating Systems for Supercomputers and High Performance Computing 1st edition, October 2019 

Page at Multicore World 2018



Towards Dynamic Resource Management in Next Generation HPC Environments

Balazs Gerofi – Research Scientist

System Software Research Team

RIKEN Center for Computational Science (RIKEN-CCS) – Tokyo, Japan

Thursday 20  February 2020 – 9:30 am


Workload diversity in high-performance computing (HPC) environments has experienced an explosion in recent years. The increasing prevalence of Big Data processing, in-situ analytics, artificial intelligence (AI) and machine learning (ML) workloads, as well as multi-component workflows is pushing the limits of supercomputing systems that have been primarily designed to serve parallel simulations.

In addition, with the growing complexity of the hardware there is also a growing interest for multi-tenancy and for a more dynamic, cloud-like execution environment. All these trends bring together a large variety of runtime components that do not cooperate well with each other, which in turn can lead to suboptimal performance.

This talk will enumerate a number of representative workloads that stress the limitations of the traditional HPC center. We then highlight some of the underlying forces which shape requirements of next generation systems and propose a cross-stack coordination layer that aims to resolve these conflicts. Finally, through some of our previous efforts in this space we demonstrate the benefits of the overall approach.





Balazs Gerofi (Riken) & Nicolás Erdödy (Open Parallel) at Multicore World 2018



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