<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.12201/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2603.12201/feed.xml" rel="self" type="application/rss+xml" /><item><title>IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse — mentioned by teleforce</title><link>https://news.ycombinator.com/item?id=48569213</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.12201:48569213</guid><pubDate>Wed, 17 Jun 2026 12:05:15 GMT</pubDate><description>&lt;p&gt;&amp;gt;This repository provides a patch for SGLang and vLLM that enables IndexCache inference acceleration for models using DeepSeek Sparse Attention (DSA), including DeepSeek-V3.2 and GLM-5. Paper here [1]. [1] IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse: https://arxiv.org/abs/2603.12201&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.12201/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
