<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>System Level on Jaeyoung Lee</title><link>https://sleepylee02.github.io/tags/system-level/</link><description>Recent content in System Level on Jaeyoung Lee</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Fri, 06 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sleepylee02.github.io/tags/system-level/index.xml" rel="self" type="application/rss+xml"/><item><title>CROS-RT [Cross-Layer Priority Scheduling for Predictable Inter-Process Communication in ROS 2]</title><link>https://sleepylee02.github.io/study/2026-02-06-cros-rt/</link><pubDate>Fri, 06 Feb 2026 00:00:00 +0000</pubDate><guid>https://sleepylee02.github.io/study/2026-02-06-cros-rt/</guid><description>What I Studied CROS-RT: Cross-Layer Priority Scheduling for Predictable Inter-Process Communication in ROS 2 (RTAS'25) Key Takeaways Inter-process communication between layer Processing chains from ROS Attachment Slides (PDF) Preview is not available. Open the PDF.</description></item><item><title>MC-SDN [Supporting Mixed-Criticality Scheduling on Switched-Ethernet Using Software-Defined Networking]</title><link>https://sleepylee02.github.io/study/2026-01-30-mc-sdn/</link><pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate><guid>https://sleepylee02.github.io/study/2026-01-30-mc-sdn/</guid><description>What I Studied MC-SDN: Supporting Mixed-Criticality Scheduling on Switched-Ethernet Using Software-Defined Networking (RTSS'18) Key Takeaways Mixed-Criticality Mimicking real-time in network Proactive Management System Attachment Slides (PDF) Preview is not available. Open the PDF.</description></item><item><title>RT-Swap [Addressing GPU Memory Bottlenecks for Real-Time Multi-DNN Inference]</title><link>https://sleepylee02.github.io/study/2026-01-23-rt-swap/</link><pubDate>Fri, 23 Jan 2026 00:00:00 +0000</pubDate><guid>https://sleepylee02.github.io/study/2026-01-23-rt-swap/</guid><description>What I Studied RT-Swap: Addressing GPU Memory Bottlenecks for Real-Time Multi-DNN Inference (RTAS'24) Key Takeaways Transparent design Beautiful implementation Proactive Management System Attachment Slides (PDF) Preview is not available. Open the PDF.</description></item></channel></rss>