Showing 3 open source projects for "parallel desktop"

View related business solutions
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Start Free
  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • 1
    orbkit (Moved to Github)

    orbkit (Moved to Github)

    A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum

    PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work,...
    Downloads: 3 This Week
    Last Update:
    See Project
  • 2
    MPQC

    MPQC

    Massively Parallel Quantum Chemistry program

    The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.
    Downloads: 9 This Week
    Last Update:
    See Project
  • 3
    Using the CUDA API this project modifies the AutoDock software to run in parallel on NVIDIA GPUs. Users will be able to download and compile the code and use AutoDock on CUDA capable Graphics Cards. Autodock is located at http://autodock.scripps.edu/
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next