From 2c028f25edd939e28420e4a001c4c72e29609505 Mon Sep 17 00:00:00 2001 From: Edward Hutter Date: Sat, 15 Apr 2023 15:57:17 -0500 Subject: [PATCH] Create kripke_tensor.md --- _tensors/kripke_tensor.md | 44 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 _tensors/kripke_tensor.md diff --git a/_tensors/kripke_tensor.md b/_tensors/kripke_tensor.md new file mode 100644 index 0000000..d551155 --- /dev/null +++ b/_tensors/kripke_tensor.md @@ -0,0 +1,44 @@ +--- +title: kripke tensor + +description: > + Execution times of the KRIPKE mini-app run on the Stampede2 supercomputer. + Modes represent benchmark parameters that influence execution time. + Each tensor element is characterized by an entry in the following columns (zero-indexed): {2,3,4,5,6,10,11,15,16}. + Each corresponding execution time is stored in the 25th column (zero-indexed). + + + +# Tensor statistics +order: '9' +nnz: '32768' +dims: ['7', '7', '6', '8', '6', '16', '8', '5', '2'] + + +# Each entry is a list ["URL", "description"] +files: + - ["https://raw.githubusercontent.com/huttered40/app_ed/main/datasets/stampede2/kripke/kt0_nnodes1.csv?token=GHSAT0AAAAAACBEFS3ZCXTUOB5JNUCGSRQUZB3DF2Q", "kripke tensor"] + +# bibtex citation + +citation: > + @misc{hutter2022highdimensional, + title={High-Dimensional Performance Modeling via Tensor Completion}, + author={Edward Hutter and Edgar Solomonik}, + year={2022}, + eprint={2210.10184}, + archivePrefix={arXiv}, + primaryClass={cs.PF} + } + @techreport{kunen2015kripke, + title={Kripke-a massively parallel transport mini-app}, + author={Kunen, Adam J and Bailey, Teresa S and Brown, Peter N}, + year={2015}, + institution={Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States)} + } + + +# Where to file the tensor? +tags: [execution time] + +---