Parallelizing Linear Recurrent Neural Nets Over Sequence Length · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1709.04057/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTParallelizing Linear Recurrent Neural Nets Over Sequence Length — mentioned by lightcatcherhttps://news.ycombinator.com/item?id=27669587urn:hackerpapers:mention:1709.04057:27669587Mon, 28 Jun 2021 23:17:20 GMT<p>Parallel prefix sum is the most underappreciated parallel algorithm in my opinion, and this paper is the best explanation and visualization of the concept I&#x27;ve seen. A few years ago I worked on a deep learning project using parallel prefix sum as a new way to accelerate recurrent neural nets on GPUs[0]. The paper in this post was the most important reference and source of inspiration. I&#x27;m happy to see this paper shared on HN in hopes that it also sparks ideas in others. [0] https://arxiv.org/abs/1709.04057</p><p><a href="https://hackerpaper.kaipfister.de/p/1709.04057/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.NE