International Workshop on

Runtime and Operating Systems for Supercomputers

ROSS 2021

Held in conjunction with SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis

St. Louis, Missouri, USA, November 15, 2021


  • March 9, 2022: The proceedings have been published and the links are now available on the Program page.
  • February 9, 2022: The workshop successfully took place virtually. Pictures and slides are available on the Program page.
  • October 25, 2021: A preliminary workshop program has been posted. The opening invited talk this year will be delivered by Brian Barrett from Amazon Web Services. Due to uncertainties related to SC travel, the workshop will be held fully virtually (online only) this year. The format of the workshop is also being changed to a half-day event.
  • October 7, 2021: The deadline for the final versions of the papers has been extended to October 15, 2021.
  • September 24, 2021: We accepted 3 out of 4 submissions.
  • July 30, 2021: The deadline has been extended to August 27, 2021.


The complexity of node architectures in supercomputers increases as we cross milestones on the way towards Exascale and beyond. Increasing levels of parallelism in multi- and many-core chips and emerging heterogeneity of computational resources coupled with energy and memory constraints force a reevaluation of our approaches towards operating systems and runtime environments.

The International Workshop on Runtime and Operating Systems for Supercomputers provides a forum for researchers to exchange ideas and discuss research questions that are relevant to upcoming supercomputers and cloud environments for high-performance computing. In addition to typical workshop publications, we encourage novel and possibly immature ideas, provided that they are interesting and on-topic. Well argued position papers are also welcome.

Topics of Interest

The topics include, but are not limited to:
  • OS and runtime system scalability on many-node and multi/many-core systems
  • management of heterogeneous and reconfigurable compute resources, including FPGAs, GPUs, etc.
  • distributed/hybrid/partitioned OSes and runtime systems for Supercomputing
  • system noise analysis and prevention
  • runtime and operating systems for resource disaggregation
  • modeling and performance analysis of runtime systems
  • the use of AI techniques in the autotuning of system software
  • OS and runtime considerations for large-volume, high-performance I/O
  • memory management and emerging memory technologies
  • OS and runtime aspects of HPC in the cloud, including virtualization and containers
  • infrastructure for cloud functions and serverless computing in the context of HPC
  • the role of OS and runtime system in minimizing power usage
Please see the submissions page for more information.