From 4b721508bf6b335231bdd5a1e67bea222e4c9ea9 Mon Sep 17 00:00:00 2001 From: rainytong Date: Fri, 22 Dec 2023 15:48:46 -0800 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 11892f1..ba5f7bd 100644 --- a/README.md +++ b/README.md @@ -102,9 +102,9 @@ For example, the testing results including accuracy, precision, recall, and f-1 ### 1.3 Raw data from case study -The running results from our case study on the target benchmark CG are provided in [`raw/case-study/cg-results`](https://github.com/ucd-plse/FPLearner/tree/main/raw/case-study/cg-results). +The running results from all case studies, including `Precimonious+FPLearner` and `HiFPTuner+FPLearner` on the four target benchmarks `CG`, `MG`, `Lulesh`, and `LBM` are provided in [`raw/case-study/`](https://github.com/ucd-plse/FPLearner/tree/main/raw/case-study/). -This folder consists of the following files: +Each folder (e.g., [raw/case-study/HiFPTuner+FPLearner/cg-results/](https://github.com/ucd-plse/FPLearner/tree/main/raw/case-study/HiFPTuner%2BFPLearner/cg-results)) consists of the following files: - `*.json`: the precision configuraions for all mixed-precision floating-point programs in the search - `dd2-20230301-160059.log`: the log file which contains both the prediction results and the ground truth for each candidate program - `df-configs.csv`: the csv file which contains both the prediction results and the ground truth for each candidate program