gpuR | R interface to use GPU | GPU library

 by   cdeterman R Version: v2.0.0 License: No License

kandi X-RAY | gpuR Summary

kandi X-RAY | gpuR Summary

gpuR is a R library typically used in Hardware, GPU applications. gpuR has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

R interface to use GPU's
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              gpuR has a low active ecosystem.
              It has 211 star(s) with 24 fork(s). There are 26 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 51 open issues and 116 have been closed. On average issues are closed in 179 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of gpuR is v2.0.0

            kandi-Quality Quality

              gpuR has 0 bugs and 0 code smells.

            kandi-Security Security

              gpuR has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gpuR code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              gpuR does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              gpuR releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            gpuR Key Features

            No Key Features are available at this moment for gpuR.

            gpuR Examples and Code Snippets

            No Code Snippets are available at this moment for gpuR.

            Community Discussions

            QUESTION

            Unexpected EOF looking for matching `"'... in line 1. What gives?
            Asked 2021-Mar-19 at 07:15

            I am running the following slurm script on a cluster computing system.

            ...

            ANSWER

            Answered 2021-Mar-19 at 07:15

            You have a missing } in the line

            Source https://stackoverflow.com/questions/66697836

            QUESTION

            using gpuR (how to properly install OpenCL) on Ubuntu 18.04
            Asked 2020-Apr-01 at 08:11

            I have been attempting to install the gpuR package as it is a dependency for another package I want to use. However, simply running install.packages('gpuR') generates an error. For context, I am using a very new install of Linux. The error:

            ...

            ANSWER

            Answered 2020-Apr-01 at 08:11

            ocl-icd is only the loader library. You need to install an implementation (that can be loaded by ocl-icd). Where can you get the implementation, depends on what hardware (GPU) you have. I'll assume Intel since you mention their forums. If you have Haswell or older, google for "intel beignet". If you have Broadwell & newer, google "intel compute runtime".

            Source https://stackoverflow.com/questions/60834008

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install gpuR

            Welcome to my R package for simple GPU computing. Although there are a few existing packages to leverage the power of GPU's they are either specific to one brand (e.g. NVIDIA) or are not very user friendly. The goal of this package is to provide the user a very simple R API that can be used with any GPU (via an OpenCL backend). This is accomplished by interfacing with the ViennaCL library that I have packaged in the R package RViennaCL. To make the R API simple, I created new classes similar to the structure of the Matrix package. By doing so, typical methods may be overloaded to make for a very pleasing sytax. For example, to perform vector addition the syntax is:. I also recommend you read the vignette I included with this package to get a better understanding of its' capabilities. Please note, all the functions herein use an OpenCL backend. If you prefer to have a CUDA based backend, please see my other package gpuRcuda which is simply an extension on top of this package where all functions herein are still applicable but also have the CUDA option available.
            Please see my github wiki for installation instructions relevant to your operating system.

            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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          • HTTPS

            https://github.com/cdeterman/gpuR.git

          • CLI

            gh repo clone cdeterman/gpuR

          • sshUrl

            git@github.com:cdeterman/gpuR.git

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