TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2308.13490/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTTpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs — mentioned by aconz2https://news.ycombinator.com/item?id=38665659urn:hackerpapers:mention:2308.13490:38665659Sat, 16 Dec 2023 16:51:38 GMT<p>summary: improve prediction of run-time performance of a computation graph using GNN, they use an embedding dictionary for each node&#x27;s opcode along with some other node features (eg shape, bits, window size, see [1]), they released a big dataset of these graphs in [2] with varying XLA compilation configurations and their resulting perf on TPUs, they did some stuff to improve prediction on bigger graphs than before in [3] by partitioning the graph (METIS graph partition, new to me) and other training things This is only about predicting performance of a given graph and not about…</p><p><a href="https://hackerpaper.kaipfister.de/p/2308.13490/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG