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Schwinge","path":"/tschwinge","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/21753?s=80&v=4"},"commit":{"message":"run: For auto '--stack-size', consider free instead of total device memory [#8]\n\n<https://github.com/MentorEmbedded/nvptx-tools/issues/8#issuecomment-1274867401>:\n\n> [...], on a laptop where the Nvidia Quadro P1000 is also used for\n> graphics (Xorg, GNOME Shell, Firefox), per `nvidia-smi`, currently\n> `3127MiB / 4096MiB` memory are in use.\n> Any `nvptx-none-run` fails:\n> `could not set stack limit: out of memory (CUDA_ERROR_OUT_OF_MEMORY, 2)`.\n>\n> Having a look, via `cuDeviceTotalMem` it calculates the default stack\n> size based on the total device memory (minus heap size, minus\n> \"128 MiB extra\", divided by 4 SMs, 2048 threads each) to ~460 KiB, then\n> \"limit default size to 128 KiB maximum\".\n> That, however is too much, because that computation actually should be\n> done not with the *total* but on the *free* device memory.\n> For example, see <https://stackoverflow.com/a/72382150/664214>:\n> \"calculation which must be satisified\".\n> (This is racy, obviously; [...].)\n> Manually doing the calculation, I get a limit in the order of ~90 KiB.\n> And indeed: a lauch with `--stack-size 100000` works, but\n> `--stack-size 110000` fails.\n> [Via `cuMemGetInfo`, `mem_free`] I'm confirming this to calculate an\n> (even lower) stack size of ~60 KiB.","shortMessageHtmlLink":"run: For auto '--stack-size', consider free instead of total device m…"}},{"before":"93e00909ceb9cbbc104f0fcba56c0361ffb3ca4b","after":"8c3fd16cc0dea434e3f4931c04a37885bd3deba3","ref":"refs/heads/master","pushedAt":"2023-06-22T16:21:48.983Z","pushType":"push","commitsCount":2,"pusher":{"login":"tschwinge","name":"Thomas Schwinge","path":"/tschwinge","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/21753?s=80&v=4"},"commit":{"message":"Merge remote-tracking branch 'upstream/master' into HEAD","shortMessageHtmlLink":"Merge remote-tracking branch 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