Does the library ND4J (N-Dimensional Arrays for Java) support parallel computing as like in numpy for Python?
Parallel computing in N-Dimensional Arrays for Java
226 views Asked by Yevheniy Tymchishin At
1
There are 1 answers
Related Questions in JAVA
- Add image to JCheckBoxMenuItem
- How to access invisible Unordered List element with Selenium WebDriver using Java
- Inheritance in Java, apparent type vs actual type
- Java catch the ball Game
- Access objects variable & method by name
- GridBagLayout is displaying JTextField and JTextArea as short, vertical lines
- Perform a task each interval
- Compound classes stored in an array are not accessible in selenium java
- How to avoid concurrent access to a resource?
- Why does processing goes slower on implementing try catch block in java?
Related Questions in ND4J
- Add image to JCheckBoxMenuItem
- How to access invisible Unordered List element with Selenium WebDriver using Java
- Inheritance in Java, apparent type vs actual type
- Java catch the ball Game
- Access objects variable & method by name
- GridBagLayout is displaying JTextField and JTextArea as short, vertical lines
- Perform a task each interval
- Compound classes stored in an array are not accessible in selenium java
- How to avoid concurrent access to a resource?
- Why does processing goes slower on implementing try catch block in java?
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
Popular Tags
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Not sure what you mean by "parallel computing", largely we're implemented in c/c++ but also support cuda as well as mkl, and power chips as well.
Due to how broad your question is, I can only assume you aren't really looking for a "deep" answer to this question but I can tell you that we have the buzzwords you'd expect like openmp, blas/lapack, sparse,..
So editing my answer a bit: Numpy operations that are "vectorized" are just for loops in c. Python inherently has slow loops and is largely a slow language.
Another edit: It would be physically impossible for us to support gpus if there wasn't a ton of c code buried in there. We also couldn't do blas without JNI. Nd4j is definitely NOT a pure java library.
We run all the real logic in: https://github.com/deeplearning4j/libnd4j
So yes: in that effect we have "c++ based for loops" in there yes. The for loops are multi threaded or "parallelized" using cuda and openmp/mkl.