conja | Incredibly easy functional concurrency in Java | Functional Programming library

by davidsoergel Java Version: Current License: Non-SPDX

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

kandi X-RAY | conja Summary

conja is a Java library typically used in Programming Style, Functional Programming applications. conja has no bugs, it has no vulnerabilities, it has build file available and it has low support. However conja has a Non-SPDX License. You can download it from GitHub.

The purpose of Conja is to make it trivially easy for Java programmers to take advantage of multicore processors. It basically wraps java.utils.concurrent in syntactic sugar that encourages a functional style. It provides many of the same advantages that [jsr166y] does (slated for inclusion in Java 7), though it’s somewhat different under the hood. Also, Conja seems to me to be easier to use :).

Support

Quality

Security

License

Reuse

Support

conja has a low active ecosystem.

It has 5 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

conja has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of conja is current.

Quality

conja has 0 bugs and 0 code smells.

Security

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

conja code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

conja has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

conja releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

It has 1140 lines of code, 113 functions and 24 files.

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

Top functions reviewed by kandi - BETA

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

Applies the given function to each thread pool
Submits all tasks from the non worker thread
Submits all tasks from the worker thread to the worker thread
Returns an instance of the RejectedExecutionPolicy
Sets the number of cp cores
Get the statistics for this thread pool
Shut down the thread pool
Throw an exception that cannot be aborted
Shuts down the underlying executor
Print the stack trace to the parent
Prints the stack trace
Get the next iterator
Returns true if there are more than maxExv
Adds a new task to the queue
Appends the given subpriority to the current task priority
Shutdown the parallel thread pool
Gets the current instance
Returns the next element in the queue
Executes the action on the passed action
Creates a new thread
Completes all tasks
Returns the next element
Checks if the Thread is interrupted

Get all kandi verified functions for this library.

conja Key Features

No Key Features are available at this moment for conja.

conja Examples and Code Snippets

No Code Snippets are available at this moment for conja.

Community Discussions

Trending Discussions on conja

CUDA template error: no instance of function template matches the argument list

QUESTION

CUDA template error: no instance of function template matches the argument list

Asked 2018-Mar-03 at 14:23

Compiler error that I cannot figure out. My function call seems to match the argument list.

nvcc -o main main.cu

...

ANSWER

Answered 2018-Mar-03 at 14:23

My comment seems to have worked, so making it an answer...

Your template has twelve template parameters, with no defaults; and you're trying to instantiate it with just one (). Either specify all of them, or specify none.

Other notes:

Having this many parameters is not a good idea, consider putting them into some struct, or using spans.
Array-of-pointers in CUDA? Probably a bad idea
As the CUDA programming guide suggests, you should probably be using __restrict__ for your pointer parameters.

Source https://stackoverflow.com/questions/49080731

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

Vulnerabilities

No vulnerabilities reported

Install conja

[Maven](http://maven.apache.org/) is the easiest way to make use of conja. Just add these to your pom.xml:. If you really want just the jar, you can get the [latest release](http://dev.davidsoergel.com/nexus/content/repositories/releases/com/davidsoergel/conja/) from the Maven repo; or get the [latest stable build](http://dev.davidsoergel.com/jenkins/job/conja/lastStableBuild/com.davidsoergel$conja/) from the build server. The only external dependency is on log4j, so if you don’t use Maven, you’ll need to grab that manually if it’s not already in your classpath.