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  1. Proceedings of the 1st Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS '16)
  2. Replicating HPC I/O workloads with proxy applications
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Scientific workflows at datawarp-speed: accelerated data-intensive science using NERSC's burst buffer
Parallel I/O characterisation based on server-side performance counters
Replicating HPC I/O workloads with proxy applications
Can non-volatile memory benefit mapreduce applications on HPC clusters?
Fatman vs. littleboy: scaling up linear algebraic operations in scale-out data platforms
Klimatic: a virtual data lake for harvesting and distribution of geospatial data
Get out of the way!: applying compression to internal data structures
Towards energy efficient data management in HPC: the open ethernet drive approach
A generic framework for testing parallel file systems
A bloom filter based scalable data integrity check tool for large-scale dataset

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Replicating HPC I/O workloads with proxy applications

Content Provider ACM Digital Library
Author Wright, Steven Dickson, James Miller, Mark C. Maheswaran, Satheesh Herdmant, Andy Jarvis, Stephen
Abstract Large scale simulation performance is dependent on a number of components, however the task of investigation and optimization has long favored computational and communication elements above I/O. Manually extracting the pattern of I/O behavior from a parent application is a useful way of working to address performance issues on a per-application basis, but developing workflows with some degree of automation and flexibility provides a more powerful approach to tackling current and future I/O challenges. In this paper we describe a workload replication workflow that extracts the I/O pattern of an application and recreates its behavior with a flexible proxy application. We demonstrate how simple lightweight characterization can be translated to provide an effective representation of a physics application, and show how a proxy replication can be used as a tool for investigating I/O library paradigms.
Starting Page 13
Ending Page 18
Page Count 6
ISBN 9781509052165
DOI 10.1109/PDSW-DISCS.2016.6
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-11-13
Access Restriction Subscribed
Content Type Text
Resource Type Article
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