296-serving-dnns-like-clockwork-performance-predictability-from-the-bottom-up
Science Score: 10.0%
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Low similarity (12.6%) to scientific vocabulary
Last synced: 10 months ago
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- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: C++
- Default Branch: main
- Size: 159 MB
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Created over 2 years ago
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https://github.com/SZU-AdvTech-2023/296-Serving-DNNs-Like-Clockwork-Performance-Predictability-from-the-Bottom-Up/blob/main/
# Clockwork A multi-tenant managed inference server, backed by a modified version of TVM. Read about Clockwork in our [OSDI 2020 Preprint](https://arxiv.org/pdf/2006.02464.pdf) This README file describes the pre-requisites and steps required to build and run Clockwork. If you follow these steps but encounter errors, please e-mail the mailing list. Clockwork is not feature complete, but we welcome contributions from others! Mailing List: clockwork-users@googlegroups.com # Resources ### Other Repositories The following other repositories are relevant and will be referenced here and there. * [`clockwork-results`](https://gitlab.mpi-sws.org/cld/ml/clockwork-results) contains experiment scripts and documentation for reproducing results from the OSDI 2020 Clockwork paper. * [`clockwork-modelzoo-volta`](https://gitlab.mpi-sws.org/cld/ml/clockwork-modelzoo-volta) contains pre-compiled models that can be used for experimentation * [`azure-functions`](https://gitlab.mpi-sws.org/cld/trace-datasets/azure-functions) contains workload traces from Microsoft Azure that can be used for experimentation * [`azure-functions` (deprecated)](https://gitlab.mpi-sws.org/cld-private/datasets/azure-functions) contains the "preview" traces from Microsoft Azure. This repository is only available internally. Credentials will be provided to OSDI 2020 evaluators. ### Getting Started The following pages step through the things required to build and run Clockwork * [Installation Pre-Requisites](docs/prerequisites.md) * [Building Clockwork](docs/building.md) * [Environment Setup](docs/environment.md) * [Clockwork Configuration](docs/configuration.md) * [Running Clockwork for the first time](docs/firstrun.md) ### Next Steps * [Clockwork Workflow](docs/workflow.md) An overview of Clockwork's current workflow * [Customizing Your Environment](docs/customizing.md) Tweaks needed if you have different machines and GPUs * [Running Without GPUs](docs/withoutgpus.md) Instructions for running without GPUs ### Additional Information * [Telemetry](docs/telemetry.md) Description of telemetry logged by Clockwork * [Troubleshooting Guide](docs/troubleshooting.md) Common error messages * Experiment documentation in the [`clockwork-results`](https://gitlab.mpi-sws.org/cld/ml/clockwork-results) repository. * [Workloads](docs/workloads.md) Available client workloads * [Controller](docs/controller.md) Controller options # Contacts #### Mailing List clockwork-users@googlegroups.com #### People Arpan Gujarati, Reza Karimi, Safya Alzayat, Wei Hao, Antoine Kaufmann, Ymir Vigfusson, Jonathan Mace #### Organizations Max Planck Institute for Software Systems Emory University
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023