https://github.com/fjwillemsen/phd-autotuning

Encompassing repository for software written or used, as well as data generated or used in the context of the prospecting paper "Bayesian Optimization for auto-tuning GPU kernels", specifically to comply with the Artifact Description and Artifact Evaluation under the SuperComputing 2021 reproducability initiative.
https://github.com/fjwillemsen/phd-autotuning

Last synced: 24 days ago
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Encompassing repository for software written or used, as well as data generated or used in the context of the prospecting paper "Bayesian Optimization for auto-tuning GPU kernels", specifically to comply with the Artifact Description and Artifact Evaluation under the SuperComputing 2021 reproducability initiative.

• Host: GitHub
• URL: https://github.com/fjwillemsen/phd-autotuning
• Owner: fjwillemsen
• License: apache-2.0
• Created: 2021-02-02T11:31:12.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-01-12T15:18:23.000Z (10 months ago)
• Last Synced: 2024-01-13T06:08:01.745Z (10 months ago)
• Language: Python
• Homepage:
• Size: 347 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PhD: optimization algorithms for auto-tuning GPU kernels

Encompassing repository for software written or used, as well as data generated or used in the context of Floris-Jan Willemsen's PhD "on optimization algorithms for auto-tuning GPU kernels". 

This is a work in progress, changes made may break compatibility. 

## How to use

1. **Clone** this repository and its **submodules**. This repository contains [submodules](https://git-scm.com/book/nl/v2/Git-Tools-Submodules). Use `git clone --recurse-submodules` to recursively clone submodules as well. If 2FA is enabled, some interactions on clusters may require logging in. In this case, create a [PAT](https://github.com/settings/tokens) to use as a scoped password. 

2. Create a **virtual environment**. You can use the instructions in the [Kernel Tuner documentation](https://kerneltuner.github.io/kernel_tuner/stable/contributing.html#development-environment).