From 3bbd07bc6ccc06ca50be47ac04f6a24d2dec81a3 Mon Sep 17 00:00:00 2001 From: Floris-Jan Willemsen Date: Fri, 31 May 2024 12:24:16 +0200 Subject: [PATCH] Updated README.md for version 1.0.0 --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c917787..dad96e6 100644 --- a/README.md +++ b/README.md @@ -13,7 +13,7 @@ ![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.11207515.svg) -This repository contains the software package accompanying the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms". +This repository contains the software package accompanying [the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms"](https://doi.org/10.1016/j.future.2024.05.021). It makes the guidelines in the methodology easy to apply: simply specify the `.json` file, run `autotuning_visualize [path_to_json]` and wait for the results! ### Limitations & Future Work @@ -26,7 +26,7 @@ Python >= 3.9 is supported. ## Notable features - Official software by the authors of the methodology-defining paper. -- Supports [BAT benchmark suite](https://github.com/NTNU-HPC-Lab/BAT) and [Kernel Tuner](https://github.com/KernelTuner/kernel_tuner). +- Supports [BAT benchmark suite](https://github.com/NTNU-HPC-Lab/BAT), [KTT](https://github.com/HiPerCoRe/KTT), and [Kernel Tuner](https://github.com/KernelTuner/kernel_tuner). - Split executer and visualizer to allow running the algorithms on a cluster and visualize locally. - Caching built-in to avoid duplicate executions. - Planned support for T1 input and T4 output files.