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  1. Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers (ROSS '13)
  2. Transparently consistent asynchronous shared memory
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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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Transparently consistent asynchronous shared memory

Content Provider ACM Digital Library
Author Akkan, Hakan Ionkov, Latchesar Lang, Michael
Abstract The advent of many-core processors is imposing many changes on the operating system. The resources that are under contention have changed; previously, CPU cycles were the resource in demand and required fair and precise sharing. Now compute cycles are plentiful, but the memory per core is decreasing. In the past, scientific applications used all the CPU cores to finish as fast as possible, with visualization and analysis of the data performed after the simulation finished. With decreasing memory available per core, as well as the higher price (in power and time) for storing data on disk or sending it over the network, it now makes sense to run visualization and analytics applications in-situ, while the application is running. Visualization and analytics applications then need to sample the simulation memory with as little interference and as little changes in the simulation code as possible. We propose an asynchronous memory sharing facility that allows consistent states of the memory to be shared between processes without any implicit or explicit synchronization. We distinguish two types of processes; a single producer and one or more observers. The producer modifies the state of the data, making available consistent versions of the state to any observer. The observers, working at different sampling rates, can access the latest available consistent state. Some applications that would benefit from this type of facility include check-pointing applications, processes monitoring, unobtrusive process debugging, and the sharing of data for visualization or analytics. To evaluate our ideas we have developed two kernel-level implementations for sharing data asynchronously and we compared these implementations to a traditional user-space synchronized multi-buffer method. We have seen improvements of up to 3.5x in our tests over the traditional multi-buffer method with 20% of the data pages touched.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450321464
DOI 10.1145/2491661.2481431
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-06-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Memory management Virtual memory Copy on write Memory sharing
Content Type Text
Resource Type Article
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