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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2208.11174/</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/2208.11174/feed.xml" rel="self" type="application/rss+xml" /><item><title>Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis — mentioned by dragontamer</title><link>https://news.ycombinator.com/item?id=34808704</link><guid isPermaLink="false">urn:hackerpapers:mention:2208.11174:34808704</guid><pubDate>Wed, 15 Feb 2023 18:51:01 GMT</pubDate><description>&lt;p&gt;Those who want &amp;quot;excitement&amp;quot; in instruction sets should study GPUs, POWER10, ARMv8, AVX512, and ARM&amp;#x27;s SVE these days. GPU instructions, such as bpermute, permute, warp-vote, and other such concepts are the biggest &amp;quot;conceptual&amp;quot; changes to compute I&amp;#x27;ve ever seen. DirectX12, Vulkan, CUDA, HIP, it doesn&amp;#x27;t really matter what you study per se, the GPU community knows brute force performance and is advancing it. From this perspective, your study guides are the NVidia PTX guide (CUDA&amp;#x27;s assembly language), and AMD&amp;#x27;s RDNA2 ISA. Also keep in mind the NVidia PTX wgmma instruction, which is key to 16-bit…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2208.11174/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AR</category></item></channel></rss>
