SparseMatrix_Benchmark | Sparse Matrix Benchmark where each thread runs
kandi X-RAY | SparseMatrix_Benchmark Summary
kandi X-RAY | SparseMatrix_Benchmark Summary
SparseMatrix_Benchmark is a Java library. SparseMatrix_Benchmark has no bugs, it has no vulnerabilities and it has low support. However SparseMatrix_Benchmark build file is not available. You can download it from GitHub.
Android Parallel Sparse Matrix Multiplication Benchmark.
Android Parallel Sparse Matrix Multiplication Benchmark.
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Support
SparseMatrix_Benchmark has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
SparseMatrix_Benchmark has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of SparseMatrix_Benchmark is current.
Quality
SparseMatrix_Benchmark has no bugs reported.
Security
SparseMatrix_Benchmark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
SparseMatrix_Benchmark 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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SparseMatrix_Benchmark releases are not available. You will need to build from source code and install.
SparseMatrix_Benchmark has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed SparseMatrix_Benchmark and discovered the below as its top functions. This is intended to give you an instant insight into SparseMatrix_Benchmark implemented functionality, and help decide if they suit your requirements.
- Process the tcpslave thread
- Get local IP address
- Send a packet back to the master
- Deserialize a Serializable R
- Serialize a sparse runner into bytes
- This method waits until the connection is accepted
- Deserialize a SparseR
- Gets the reply message from the master
- Waits for UDP packets
- This method is called when a SparseRunner is complete
- Wait for UDP packets
- Performs sampling
- Initializes the activity
- Restart the UDP socket
- Start listening socket
- Parses the debug log
- Helper method to map a map of number of idle times
- Deserialize a SparseRunner from a byte array
- Prints the TCP_MY_PORT_TY_TY_TY_TY_PORT to the console
Get all kandi verified functions for this library.
SparseMatrix_Benchmark Key Features
No Key Features are available at this moment for SparseMatrix_Benchmark.
SparseMatrix_Benchmark Examples and Code Snippets
No Code Snippets are available at this moment for SparseMatrix_Benchmark.
Community Discussions
No Community Discussions are available at this moment for SparseMatrix_Benchmark.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install SparseMatrix_Benchmark
You can download it from GitHub.
You can use SparseMatrix_Benchmark like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the SparseMatrix_Benchmark component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use SparseMatrix_Benchmark like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the SparseMatrix_Benchmark component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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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