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		<title>High Performance Computing on Recep&#39;s Technical Blog</title>
		<link>https://erolrecep.github.io/categories/high-performance-computing/</link>
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			<lastBuildDate>Mon, 11 Aug 2025 10:47:48 -0500</lastBuildDate>
		
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				<title>PEARC25 Reflections: A Step Forward in HPC and Scientific Computing</title>
				<link>https://erolrecep.github.io/posts/pearc2025-columbus-oh/</link>
				<pubDate>Mon, 11 Aug 2025 10:47:48 -0500</pubDate>
				<guid>https://erolrecep.github.io/posts/pearc2025-columbus-oh/</guid>
				<description>&lt;h2 id=&#34;introduction&#34;&gt;&lt;strong&gt;Introduction&lt;/strong&gt;&lt;/h2&gt;&#xA;&lt;p&gt;&lt;img src=&#34;pearc25_logo_748.png&#34; alt=&#34;PEARC25 Logo&#34;&gt;&#xA;&lt;em&gt;&lt;small&gt;PEARC25 Columbus, OH&lt;/small&gt;&lt;/em&gt;&lt;/p&gt;&#xA;&lt;p&gt;This year, I had the opportunity to attend the &lt;a href=&#34;https://pearc.acm.org/pearc25/&#34;&gt;PEARC25&lt;/a&gt; conference, supported by the &lt;a href=&#34;https://pearc.acm.org/pearc25/travel-grants-opportunities/&#34;&gt;ACM Early Career Travel Grant&lt;/a&gt;. While I’ve previously attended SC conferences, PEARC was a first for me. My main goals were to network, deepen my understanding of HPC research, and learn about the latest developments in the scientific computing community especially quantum computing.&lt;/p&gt;&#xA;&lt;p&gt;The HPC community is vast, and I feel fortunate to be part of it. These conferences are invaluable for staying current with state-of-the-art practices and connecting with the people who are pushing the boundaries of science. I am passionate about contributing to this progress and am working toward becoming one of those who help move science forward.&lt;/p&gt;</description>
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				<title>5 days in Atlanta: My Personal Highlights from SC24</title>
				<link>https://erolrecep.github.io/posts/my_personal_highlights_from_sc24/</link>
				<pubDate>Thu, 28 Nov 2024 11:54:34 -0600</pubDate>
				<guid>https://erolrecep.github.io/posts/my_personal_highlights_from_sc24/</guid>
				<description>&lt;p&gt;&lt;figure&gt;&lt;img src=&#34;https://erolrecep.github.io/posts/my_personal_highlights_from_sc24/sc24_600x375.png&#34;&gt;&#xA;&lt;/figure&gt;&#xA;&#xA;&lt;em&gt;&lt;small&gt;SC24 Logo&lt;/small&gt;&lt;/em&gt;&lt;/p&gt;&#xA;&lt;p&gt; &lt;/p&gt;&#xA;&lt;p&gt;Over the past three years, I’ve had the privilege of attending the Supercomputing (SC) Conference to stay informed about the latest developments, changes, and scientific advancements in the field of supercomputing. In preparation for these experiences, I dedicated myself to building a strong foundation: reading books, taking courses, constructing a mini edge cluster to mimic an HPC center setup, and conducting numerous experiments to explore how different technologies and tools compare.&lt;/p&gt;</description>
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				<title>GNU Parallel for Your Terminal Tasks</title>
				<link>https://erolrecep.github.io/posts/gnuparallel_for_your_terminal_tasks/</link>
				<pubDate>Mon, 28 Oct 2024 21:18:27 -0500</pubDate>
				<guid>https://erolrecep.github.io/posts/gnuparallel_for_your_terminal_tasks/</guid>
				<description>&lt;p&gt;In today&amp;rsquo;s fast-paced world, efficiency is key, especially when working with multiple files and processes. Enter &lt;a href=&#34;https://www.gnu.org/software/parallel/&#34;&gt;GNU Parallel&lt;/a&gt;, a powerful command-line tool that can help you streamline your terminal tasks by running them in parallel. In this blog post, we’ll explore what GNU Parallel is, how to install and use it, and some practical use cases that demonstrate its capabilities.&lt;/p&gt;&#xA;&lt;h2 id=&#34;what-is-gnu-parallel&#34;&gt;What is GNU Parallel?&lt;/h2&gt;&#xA;&lt;p&gt;GNU Parallel is a command-line utility designed to execute jobs in parallel, leveraging your system&amp;rsquo;s resources more effectively. Whether you&amp;rsquo;re converting files, processing data, or running scripts, if you can do it in the terminal, you can probably use GNU Parallel to speed it up. This tool is perfect for anyone who relies on the terminal for their daily tasks and wants to optimize their workflow.&lt;/p&gt;</description>
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				<title>Notes for Organizing a Workshop</title>
				<link>https://erolrecep.github.io/posts/notes_for_organizing_workshops/</link>
				<pubDate>Sun, 13 Oct 2024 05:26:01 -0500</pubDate>
				<guid>https://erolrecep.github.io/posts/notes_for_organizing_workshops/</guid>
				<description>&lt;p&gt;&lt;strong&gt;TL;DR:&lt;/strong&gt;&lt;br&gt;&#xA;This post shares insights on organizing a technical workshop on a university campus. As an HPC admin and AI facilitator, I’ve organized several workshops and technical training sessions for HPC users. Here’s a roadmap of what to do &lt;em&gt;before&lt;/em&gt;, &lt;em&gt;during&lt;/em&gt;, and &lt;em&gt;after&lt;/em&gt; a workshop, along with tips and tricks to make life easier for both you and the attendees. These are my personal views.&lt;/p&gt;&#xA;&lt;hr&gt;&#xA;&lt;p&gt;&lt;strong&gt;From ML Engineer to HPC Admin&lt;/strong&gt;&lt;br&gt;&#xA;After working as a machine learning engineer in various companies over a decade, I decided to switch my career to high-performance computing (HPC) and supercomputing centers. Upon completing my PhD, I reflected on my background and realized that the role of an HPC admin and AI facilitator fit perfectly with my skill set. I had also spent years in academia, teaching multiple courses, preparing quizzes and assignments, and mentoring over 100 graduate students in programming, problem-solving, data science, machine learning, and AI. These experiences motivated me to pursue this path.&lt;/p&gt;</description>
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