Java

Java

Oracle
CUDA

CUDA

NVIDIA
+

Related Products

  • Source Defense
    7 Ratings
    Visit Website
  • Windsurf Editor
    148 Ratings
    Visit Website
  • Twilio
    1,319 Ratings
    Visit Website
  • Google Cloud Run
    286 Ratings
    Visit Website
  • Bitrise
    384 Ratings
    Visit Website
  • Nutrient SDK
    98 Ratings
    Visit Website
  • JOpt.TourOptimizer
    8 Ratings
    Visit Website
  • Jscrambler
    33 Ratings
    Visit Website
  • Docmosis
    48 Ratings
    Visit Website
  • Macaw AMS
    5 Ratings
    Visit Website

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

About

CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs. In GPU-accelerated applications, the sequential part of the workload runs on the CPU – which is optimized for single-threaded performance – while the compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers program in popular languages such as C, C++, Fortran, Python and MATLAB and express parallelism through extensions in the form of a few basic keywords. The CUDA Toolkit from NVIDIA provides everything you need to develop GPU-accelerated applications. The CUDA Toolkit includes GPU-accelerated libraries, a compiler, development tools and the CUDA runtime.

About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers looking for a Programming Language solution

Audience

Developers interested in a powerful parallel computing platform and programming model

Audience

Component Library solution for DevOps teams

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/cuda-zone

Company Information

NumPy
numpy.org

Alternatives

Alternatives

NVIDIA NIM

NVIDIA NIM

NVIDIA

Alternatives

OpenVINO

OpenVINO

Intel
h5py

h5py

HDF5

Categories

Categories

Categories

Integrations

Akira AI
Anti-Captcha
Azure DevOps Labs
Code Intelligence
Codespy
FNT Command Platform
GitLab Duo
Goose
Jersey
MPI for Python (mpi4py)
MergeBase
MyEclipse
NVIDIA Isaac
Perst
Pixee
Qwen
Snappytick
Urlbox
Zenserp
barKoder Barcode Scanner SDK

Integrations

Akira AI
Anti-Captcha
Azure DevOps Labs
Code Intelligence
Codespy
FNT Command Platform
GitLab Duo
Goose
Jersey
MPI for Python (mpi4py)
MergeBase
MyEclipse
NVIDIA Isaac
Perst
Pixee
Qwen
Snappytick
Urlbox
Zenserp
barKoder Barcode Scanner SDK

Integrations

Akira AI
Anti-Captcha
Azure DevOps Labs
Code Intelligence
Codespy
FNT Command Platform
GitLab Duo
Goose
Jersey
MPI for Python (mpi4py)
MergeBase
MyEclipse
NVIDIA Isaac
Perst
Pixee
Qwen
Snappytick
Urlbox
Zenserp
barKoder Barcode Scanner SDK
Claim Java and update features and information
Claim Java and update features and information
Claim CUDA and update features and information
Claim CUDA and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information