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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CUDA Leaks: Information Leakage in GPU Architectures · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1305.7383/</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/1305.7383/feed.xml" rel="self" type="application/rss+xml" /><item><title>CUDA Leaks: Information Leakage in GPU Architectures — mentioned by inetknght</title><link>https://news.ycombinator.com/item?id=14346173</link><guid isPermaLink="false">urn:hackerpapers:mention:1305.7383:14346173</guid><pubDate>Mon, 15 May 2017 23:38:23 GMT</pubDate><description>&lt;p&gt;Yup, I&amp;#x27;d strongly consider something similar. But I&amp;#x27;d have to seriously consider the security implications: giving Windows access to the graphics card could end up being more hassle than it&amp;#x27;s worth. GPUs&amp;#x27; memory management isn&amp;#x27;t exactly security friendly. -&amp;gt; https://arxiv.org/pdf/1305.7383.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1305.7383/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item><item><title>CUDA Leaks: Information Leakage in GPU Architectures — mentioned by paulmd</title><link>https://news.ycombinator.com/item?id=14213838</link><guid isPermaLink="false">urn:hackerpapers:mention:1305.7383:14213838</guid><pubDate>Thu, 27 Apr 2017 18:54:09 GMT</pubDate><description>&lt;p&gt;There&amp;#x27;s two killers, compatibility and launch overhead. CUDA is the most commonly-used compute language but it&amp;#x27;s NVIDIA-only. OpenCL is &amp;quot;universal&amp;quot; (sort of) but - being a general-purpose framework for heterogeneous compute rather than a task-specific GPGPU language - it&amp;#x27;s much more complex and lacks the libraries/etc that are available in CUDA. NVIDIA&amp;#x27;s OpenCL performance is all over the board, sometimes good sometimes fairly terrible (half of CUDA performance or less). Other users have nothing at all. So inherently - any GPU acceleration targets only a subset of your users. The other killer…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1305.7383/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CR</category></item></channel></rss>
