<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Research on Ivris Raymond</title><link>https://ivris.me/tags/research/</link><description>Recent content in Research on Ivris Raymond</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ivris.me/tags/research/index.xml" rel="self" type="application/rss+xml"/><item><title>World Models for Microarchitectural Design Space Exploration</title><link>https://ivris.me/projects/world-models-dse/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://ivris.me/projects/world-models-dse/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;a href="#overview" class="anchor" aria-hidden="true"&gt;&lt;svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"
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&lt;p&gt;With the rising adoption of ML for design space exploration, current approaches to simulating designs with meaningful fidelity have become a substantial bottleneck for the number of designs that ML-based approaches can evaluate when exploring the design space. This project examines whether world models may offer a faster alternative to traditional approaches to detailed microarchtiectural simulation while maintaining enough fidelity to converge on good designs.&lt;/p&gt;</description></item><item><title>ML for Maintaining Obsolete Digital Systems</title><link>https://ivris.me/projects/ml-obsolete-systems/</link><pubDate>Mon, 06 Jan 2025 00:00:00 +0000</pubDate><guid>https://ivris.me/projects/ml-obsolete-systems/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;a href="#overview" class="anchor" aria-hidden="true"&gt;&lt;svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"
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&lt;p&gt;Computing systems in high-reliability deployments are often qualified for those deployments at system-level granularity while failures often occur at subsystem-level. Obsolescence poses a high risk to systems of this manner, as failing components often necessitate a complete system redesign or at least re-qualification, which is itself expensive and time-consuming. This project examines whether LLMs can be used to ease this burden by engineering drop-in replacements for failing, obsolete digital components based on the behavior of the original component and the broader design specifications of the system.&lt;/p&gt;</description></item></channel></rss>