Light-Weight Kernel with Portals

Erich Focht (), Jaka Močnik (), Fredrik Unger (), Andreas Jeutter () and Marko Novak ()
Additional contact information
Erich Focht: NEC HPC Europe
Jaka Močnik: XLAB Research
Fredrik Unger: NEC HPC Europe
Andreas Jeutter: High Performance Computing Center Stuttgart (HLRS)
Marko Novak: XLAB Research

A chapter in High Performance Computing on Vector Systems 2010, 2010, pp 3-16 from Springer

Abstract: Abstract With continuously growing numbers of nodes and CPU cores cluster scalability is becoming a more and more significant problem in high performance computing and several approaches are taken to improve it. On the hardware level, operating system level and in the communication model new approaches have been developed. Specialization of cluster nodes, introduction of light-weight kernels and new communication abstraction are all steps to increase the efficiency of compute clusters. Extending the light-weight kernel (LWK), Kitten, with RDMA capable Infiniband network interface support and developing Portals on top of that interface brings improvements to the current compute model. Furthermore, in preparation for running parallel jobs on the light-weight kernel a new Open MPI component was added as an alternative to the currently available OOB/TCP component. This component eliminates the need to have a TCP/IP software stack available on the compute nodes. It is based on the Sandia Portals 3.3 network abstraction and message passing interface.

Keywords: Message Passing Interface; High Performance Computing; Sandia National Laboratory; Remote Procedure Call; Operating System Level (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-11851-7_1

Ordering information: This item can be ordered from
http://www.springer.com/9783642118517

DOI: 10.1007/978-3-642-11851-7_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().