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Expanded description of LWK functionality and implementation details |
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A [[massively parallel]], [[high-performance computing]] (HPC) system is particularly sensitive to [[operating system]] overhead. Traditional, multi-purpose, operating systems are designed to support a wide range of usage models and requirements. To support the range of needs, a large number of system processes are provided and are often inter-dependent on each other. The computing overhead of these processes leads to an unpredictable amount of processor time available to a parallel application. A very common [[parallel programming model]] is referred to as the [[bulk synchronous parallel]] model which often employs [[MPI]] for communication. The synchronization events are made at specific points in the application code. If one processor takes longer to reach that point than all the other processors, everyone must wait. The overall finish time is increased. Unpredictable
Custom '''Lightweight Kernel''' (LWK) operating systems, currently used
| title = Designing a Highly-Scalable Operating System: The Blue Gene/L Story
| publisher = Proceedings of the 2006 ACM/IEEE International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC’06)
| author = Moreira, Jose, et al
| date = 2006-11
}}</ref> .
| title = Compute Node Linux: Overview, progress to date, and roadmap
| publisher = Proceedings of the 2007 Cray User Group Annual Technical Conference
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| author = Riesen, Rolf, et al
| date = 2009-04
}}</ref> .
| url = https://software.sandia.gov/trac/kitten
| title = Kitten Lightweight Kernel
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The design goals of these operating systems are:
| title = Software Architecture of the Light Weight Kernel, Catamount
| publisher = Proceedings of the 2005 Cray User Group Annual Technical Conference
| author = Kelly, S. and Brightwell, R.
| date = 2005-05
}}</ref>
LWK implementations vary, but all strive to provide applications with predictable and maximum access to the [[CPU]] and other system resources. To achieve this, simplified algorithms for scheduling and memory management are usually included. System services (e.g. daemons), are limited to the absolute minimum. Available services, such as job launch are constructed in a hierarchical fashion to ensure scalability to thousands of nodes. Networking protocols for communication between nodes in the system are also carefully selected and implemented to ensure scalability. One such example is the [[Portals network programming api]].
Lightweight Kernel operating systems assume access to a small set of nodes that are running full-service operating systems to offload some of the necessary services: login access, compilation environments, batch job submission, and file I/O.
== References ==
{{Reflist}}
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<!--- Categories --->
[[Category:Computing]]
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