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News

• December 5, 2023: The workshop took place in Denver, Colorado, USA with record attendance. Post-workshop materials (pictures, slides, links to the proceedings) are now available on the Program page.
• October 5, 2023: A preliminary workshop program has been posted. We will open with a panel Is Accelerator Firmware the New HPC OS? Opportunities and Challenges for the OS/R Research Community, moderated by John Lange from Oak Ridge National Laboratory and University of Pittsburgh, and featuring a number of experts from the industry, national laboratories, and academia.
• September 8, 2023: We accepted 5 out of 9 submissions.
• August 3, 2023: The deadline has been extended to August 18, 2023.

Scope

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, to be held as a half-day event in conjunction with the SC23 conference, 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 machine learning and 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, convergence of Supercomputing and cloud environments
• infrastructure for cloud functions and serverless computing in the context of HPC
• virtualization in HPC, including virtual machines and application containers
• the role of the OS and runtime system in minimizing power usage

Please see the submissions page for more information.