International Workshop on
Runtime and Operating Systems for Supercomputers
Held in conjunction with HPDC 2018, Tempe, AZ, USA, June, 2018
- June 26, 2018: The workshop took place in Tempe, AZ, USA. Post-workshop materials (slides, proceedings links, pictures) are available on the Program page.
- June 1, 2018: A preliminary workshop program has been posted.
- April 30, 2018: The keynote this year will be delivered by Manish Parashar from Rutgers University, USA.
- April 25, 2018: We accepted 5 out of 7 submissions (71% acceptance rate).
- March 10, 2018: The deadline has been extended to April 2, 2018. We encourage wild and crazy ideas as well as talk submissions.
The complexity of node architectures in supercomputers increases as we cross petaflop milestones on the way towards Exascale. 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. 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 InterestThe 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
- interaction between middleware, runtime system, and the OS
- modeling and performance analysis of runtime systems
- OS and runtime considerations for large-volume, high-performance I/O
- memory management and emerging memory technologies
- the role of OS and runtime system in minimizing power usage