ND4S

ND4S: N-Dimensional Arrays for Scala
Original author(s) Adam Gibson, Taisuke Oe
Developer(s) various
Stable release
0.0.3.5.5 / 15 September 2014 (2014-09-15)
Development status active
Written in Java
Operating system Linux, OSX, Windows, Android
Platform Cross-platform
Type Natural language processing, Deep learning, Machine vision
License Apache 2.0
Website github.com/deeplearning4j/nd4s

ND4S is a free, open-source extension of the Scala programming language operating on the Java Virtual Machine—though it is compatible with both Java and Clojure.[1]

ND4S is a scientific computing library for linear algebra and matrix manipulation in a production environment, integrating with Hadoop and Spark to work with distributed GPUs. It supports n-dimensional arrays for JVM-based languages.

ND4S has primarily been developed by the group in San Francisco that built Deeplearning4j, led by Adam Gibson.[2] It was created under an Apache Software Foundation license.

Distributed

ND4S's operations include distributed parallel versions. They can take place in a cluster and process massive amounts of data. Matrix manipulation occurs in parallel on GPUs or CPUs in the cloud, and can work within Spark or Hadoop clusters.

Benchmarks

Benchmarks show that ND4S runs roughly twice as fast as Numpy on large matrices.[3]

See also

References

  1. ↑ "Official Website".
  2. ↑ "Github Repository".
  3. ↑ "ND4J Benchmarks".

External links


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