kandi X-RAY | SBRP-ASPLOS23 Summary
kandi X-RAY | SBRP-ASPLOS23 Summary
SBRP-ASPLOS23 is a C++ library. SBRP-ASPLOS23 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
We provide the source code and setup for our GPU persistency model, Scoped Buffered Release Persistency (SBRP). SBRP is a scope-aware, buffered persistency model that provides high performance to GPU applications that wish to persist data on Non-Volatile Memory (NVM). SBRP modifies the GPU hardware and has been implemented using GPGPU-Sim, a GPU simulator. For more details on the simulator requirements, check the README in the simulator folder. This repository consists of the source code of the simulator, benchmarks used for evaluation and all scripts needed to replicate the figures in the paper. We shall first explain how to replicate our results, then highlight the important files and folders contained in this repository.
We provide the source code and setup for our GPU persistency model, Scoped Buffered Release Persistency (SBRP). SBRP is a scope-aware, buffered persistency model that provides high performance to GPU applications that wish to persist data on Non-Volatile Memory (NVM). SBRP modifies the GPU hardware and has been implemented using GPGPU-Sim, a GPU simulator. For more details on the simulator requirements, check the README in the simulator folder. This repository consists of the source code of the simulator, benchmarks used for evaluation and all scripts needed to replicate the figures in the paper. We shall first explain how to replicate our results, then highlight the important files and folders contained in this repository.
Support
Quality
Security
License
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Support
SBRP-ASPLOS23 has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
SBRP-ASPLOS23 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SBRP-ASPLOS23 is v1.0.0
Quality
SBRP-ASPLOS23 has no bugs reported.
Security
SBRP-ASPLOS23 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SBRP-ASPLOS23 does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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SBRP-ASPLOS23 releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of SBRP-ASPLOS23
SBRP-ASPLOS23 Key Features
No Key Features are available at this moment for SBRP-ASPLOS23.
SBRP-ASPLOS23 Examples and Code Snippets
No Code Snippets are available at this moment for SBRP-ASPLOS23.
Community Discussions
No Community Discussions are available at this moment for SBRP-ASPLOS23.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SBRP-ASPLOS23
To install cuda-11.4, follow:. (Find detailed instructions at: https://developer.nvidia.com/cuda-11-4-1-download-archive?target_version=20.04) If your system does not have a GPU, do not install any CUDA drivers. To run GPGPU-sim only the CUDA toolkit with the nvidia compiler (nvcc) is enough. Ensure that nvcc and cuda are in the PATH variable.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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