<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jon Bernard</title><link>https://jbernard.io/</link><description>Recent content on Jon Bernard</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><atom:link href="https://jbernard.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Papers</title><link>https://jbernard.io/papers/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jbernard.io/papers/</guid><description>&lt;ol&gt;
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&lt;p&gt;&lt;a href="https://www.tandfonline.com/doi/epub/10.1080/00224065.2022.2035285?needAccess=true"&gt;Design strategies and approximation methods for high-performance computing variability management&lt;/a&gt;&lt;br&gt;
Journal of Quality Technology, 2023, Volume 55, Issue 1&lt;/p&gt;
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&lt;p&gt;&lt;a href="https://dl.acm.org/doi/abs/10.1016/j.jpdc.2020.01.005%22"&gt;Modeling I/O Performance Variability in High-Performance Computing Systems Using Mixture Distributions&lt;/a&gt;&lt;br&gt;
Journal of Parallel and Distributed Computing, May 2020, Volume 139, Issue C&lt;/p&gt;
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&lt;p&gt;&lt;a href="https://ieeexplore.ieee.org/document/8821023%22"&gt;Resource Contention Aware Load Balancing for Large-Scale Parallel File Systems&lt;/a&gt;&lt;br&gt;
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, May 2019&lt;/p&gt;
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&lt;p&gt;&lt;a href="https://ieeexplore.ieee.org/document/8631172%22"&gt;MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design&lt;/a&gt;&lt;br&gt;
IEEE Transactions on Parallel and Distributed Systems, January, 2019&lt;/p&gt;</description></item></channel></rss>