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  1. Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers (ROSS '13)
  2. A gossip-based approach to exascale system services
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Hobbes: composition and virtualization as the foundations of an extreme-scale OS/R
Memory-conscious collective I/O for extreme scale HPC systems
An early prototype of an autonomic performance environment for exascale
Characteristics of adaptive runtime systems in HPC
A gossip-based approach to exascale system services
Transparently consistent asynchronous shared memory
Design and implementation of a customizable work stealing scheduler
Enabling accurate power profiling of HPC applications on exascale systems
Evaluating the feasibility of using memory content similarity to improve system resilience
Data deduplication in a hybrid architecture for improving write performance

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A gossip-based approach to exascale system services

Content Provider ACM Digital Library
Author Bridges, Patrick Lang, Michael Arnold, Dorian Soltero, Philip
Abstract Large-scale server deployments in the commercial internet space have been using group based protocols such as peer-to-peer and gossip to allow coordination of services and data across global distributed data centers. Here we look at applying these methods, which are themselves derived from early work in distributed systems, to large-scale, tightly-coupled systems used in high performance computing. In this paper, we study Gossip protocols and their ability to aggregate data across large-scale systems in support of system services. We report accuracy and performance of these estimated results and then focus on a simulated power-capping service to show the tradeoffs of this approach in practice.
Starting Page 1
Ending Page 7
Page Count 7
File Format PDF
ISBN 9781450321464
DOI 10.1145/2491661.2481428
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-06-10
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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