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  1. Proceedings of the 2nd International Workshop on Runtime and Operating Systems for Supercomputers (ROSS '12)
  2. Integrated in-system storage architecture for high performance computing
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I/O threads to reduce checkpoint blocking for an electromagnetics solver on Blue Gene/P and Cray XK6
Optimizing latency and throughput for spawning processes on massively multicore processors
Node-based memory management for scalable NUMA architectures
Supercomputing operating systems: a naive view from over the fence
A file I/O system for many-core based clusters
Stepping towards noiseless Linux environment
Evaluating operating system vulnerability to memory errors
Integrated in-system storage architecture for high performance computing
Better than native: using virtualization to improve compute node performance
The RAMDISK storage accelerator: a method of accelerating I/O performance on HPC systems using RAMDISKs
A design of hybrid operating system for a parallel computer with multi-core and many-core processors

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Integrated in-system storage architecture for high performance computing

Content Provider ACM Digital Library
Author de Supinski, Bronis R. Moody, Adam Mohror, Kathryn Ross, Rob Van Essen, Brian Kimpe, Dries Gokhale, Maya
Abstract In-system solid state storage is expected to be an important component of the I/O subsystem on the first exascale platforms, as it has the potential to reduce DRAM requirements, to increase system reliability, and to smooth I/O loads. This paper describes the design of a prototype, integrated in-system storage architecture that we are developing to serve the diverse needs of high performance computing. Our container abstraction will provide lightweight management of in-system storage devices, as well as methods to access containers remotely and to transfer them within the storage hierarchy. We are also working on a storage hierarchy abstraction API to provide portable HPC I/O software with the critical information on the configuration of the system on which it is running. As currently available large-scale HPC systems lack in-system storage, we are developing a solid state storage simulator backed by DRAM. We are integrating these efforts around an I/O-intensive workload provided by the scalable checkpoint/restart (SCR) library. We expect our efforts to reduce the overheads of checkpointing and data movement across the system and thus to improve the scalability and reliability of HPC applications.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450314602
DOI 10.1145/2318916.2318921
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-06-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword In-system storage I/o forwarding Storage simulation Storage management Node-local storage checkpoint/restart Storage containers Burst buffer
Content Type Text
Resource Type Article
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