Symmetric Multi-processing Software

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Symmetric Multi-processing Software

  • Open source. Easy to use. Proven. Complete. Open source. Easy to use. Proven. Complete. Icon
    Open source. Easy to use. Proven. Complete. Icon

    End to end big data that enables you to spend less time formatting data and more time analyzing it.

    Discover HPCC Systems - the truly open source big data solution that allows you to quickly process, analyze and understand large data sets, even data stored in massive, mixed-schema data lakes. Designed by data scientists, HPCC systems is a complete integrated solution from data ingestion and data processing to data delivery. The free online introductory courses and a robust developer community allow you to get started quickly.
  • Use DigitalOcean to Build, Deploy & Scale Web Apps Use DigitalOcean to Build, Deploy & Scale Web Apps Icon
    Use DigitalOcean to Build, Deploy & Scale Web Apps Icon

    The ease and simplicity of DigitalOcean gives developers more time to build and innovate for their customers.

    Thousands of businesses and developers around the world use DigitalOcean to easily deploy, manage, and scale applications of any size with less infrastructure friction. Go from one to a thousand virtual servers in seconds. Also, we continue to add hundreds of in-depth tutorials to our documentation library and have an active online community to get the support you need to succeed.
  • Server Benchmark Icon

    Server Benchmark

    Server benchmark and burn in software.

    Server Benchmark [s.b] allows server engineers and administrators to quickly complete the "burn in" phase of your server and VDI provisioning process. The software also allows users to benchmark processing and memory utilization by dynamically adding threads and building arrays to test memory capacity. Server Benchmark is also a great way to maximize capacity and test response from within your existing Citrix XenApp farm, and VDI infrastructure. Source code is attached to the "Source" folder.

  • GNeuron

    This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.

    Downloads: 0 This Week Last Update: See Project
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