compss | COMP Superscalar is a framework | Job Orchestrator library

by bsc-wdc Java Version: v3.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | compss Summary

compss is a Java library typically used in Data Processing, Job Orchestrator applications. compss has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install compss' or download it from GitHub, PyPI.

COMP Superscalar (COMPSs) is a programming model which aims to ease the development of applications for distributed infrastructures, such as Clusters, Grids and Clouds. COMP Superscalar also features a runtime system that exploits the inherent parallelism of applications at execution time.

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Quality

Security

License

Reuse

Support

compss has a low active ecosystem.

It has 36 star(s) with 17 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 18 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of compss is v3.1

Quality

compss has 0 bugs and 0 code smells.

Security

compss has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

compss code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

compss is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

compss releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

compss saves you 241725 person hours of effort in developing the same functionality from scratch.

It has 237473 lines of code, 11581 functions and 2425 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed compss and discovered the below as its top functions. This is intended to give you an instant insight into compss implemented functionality, and help decide if they suit your requirements.

Check implemented implementations of method .
Serialize array parameter
Invokes the method .
Obtain file data from source
Process a data transfer .
Modify the CPSS API .
Calculate the configuration .
Replace the task method call .
Submit a job .
Fetch a binding object .

Get all kandi verified functions for this library.

compss Key Features

No Key Features are available at this moment for compss.

compss Examples and Code Snippets

No Code Snippets are available at this moment for compss.

Community Discussions

Trending Discussions on compss

Turn string into object - But to actual text, not evaluated

QUESTION

Turn string into object - But to actual text, not evaluated

Asked 2019-Mar-12 at 03:03

Don't think this is a duplicate, as I want the actual code/text, not evaluated.

I am building a function that requires the inputs to be like the following:

...

ANSWER

Answered 2019-Mar-12 at 03:03

First create the character representation in txt and then use parse on that. Use [[1]] on the parsed object to return a call object which I am assuming is what you want.

Source https://stackoverflow.com/questions/55112879

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

Vulnerabilities

No vulnerabilities reported

Install compss

Install the listed dependencies for each component you wish to install. For a complete build please install all the dependencies.
COMPSs Runtime dependencies openjdk-8-jre openssh-server uuid-runtime graphviz xdg-utils
Build dependencies wget openjdk-8-jdk maven curl jq OSX dependencies(use Brew to install it) libtool coreutils boost util-linux
Bindings-common dependencies build-essential autoconf automake autotools-dev libtool
C-binding dependencies libboost-all-dev libxml2-dev csh
Python-binding dependencies python-dev | python3-dev python-pip | python3-pip python-setuptools | python3-setuptools libpython2.7 wheel numpy dill guppy
Extrae dependencies libxml2 gfortran libpapi-dev papi-tools
AutoParallel dependencies libgmp3-dev flex bison libbison-dev texinfo libffi-dev astor sympy enum34 islpy
Streaming dependencies Gradle
Testing dependencies openmpi-bin openmpi-doc libopenmpi-dev bc decorator mpi4py redis-py-cluster enum34 tabulate
Note: Remember to install the COMPSs dependencies and to get the GIT submodules before trying to build COMPSs from sources.
Building COMPSs for all users (not supported in OSX)
Building COMPSs for current user
Add user to docker group to run docker as non-root user.
Docker for Mac. Or, if you prefer to use Homebrew.
Docker for Ubuntu.
Docker for Arch Linux.
Instructions.
Run the following command at the root of the project to build the image that will used for testing. The command create an image named compss and install the current branch into the image.