Showing 2 open source projects for "gpu"

View related business solutions
  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • Deliver trusted data with dbt Icon
    Deliver trusted data with dbt

    dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

    Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
    Learn More
  • 1
    Bullet

    Bullet

    JVM Bullet Physics SDK

    Bullet is real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc. Jvm port of Bullet, by Erwin Coumans. Take a look at the tests to see what has been ported and tested to be working. A high-end desktop GPU, such as an AMD Radeon 7970 or NVIDIA GTX 680 or better. We succesfully tested the software under Windows, Linux and Mac OSX. The software currently doesn't work on OpenCL CPU devices. It might run on a laptop GPU but performance will not likely be very good. Note that often an OpenCL drivers fails to compile a kernel. Some unit tests exist to track down the issue, but more work is required to cover all OpenCL kernels.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    HVVR

    HVVR

    Hierarchical visibility for VR and real time rendering of effects

    HVVR (Hierarchical Visibility for Virtual Reality) is an optimized software raycaster. It implements a hybrid CPU/GPU raycaster, suited for real-time rendering of effects such as lens distortion. By default, raycaster.vcxproj is configured to build all .cu files to the compute_61,sm_61 target. If your GPU needs a different code-gen target, you can change this in the raycaster project properties. Some installations of the CUDA SDK and Visual Studio integration appear to have broken build dependency tracking. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next