Showing 5 open source projects for "parallel computing"

View related business solutions
  • IT Asset Management (ITAM) Software Icon
    IT Asset Management (ITAM) Software

    Supercharge Your IT Assets, the Easy Way

    Drowning in misplaced IT assets, compliance headaches, and shadow IT? Navigate to clarity with an intuitive IT Asset Management solution. Experience crisp visibility, effortless control, and unshakable security – all while freeing up your budget with optimized software licenses. The best part? It’s easy.
    Learn More
  • JS7 JobScheduler is an open source workload automation solution. Icon
    JS7 JobScheduler is an open source workload automation solution.

    JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API.

    JS7 JobScheduler is an open source workload automation solution. It is used to run executable files, shell scripts etc. and database procedures.
    Learn More
  • 1
    PMCGPU

    PMCGPU

    Parallel simulators for Membrane Computing on the GPU

    Membrane Computing is a new research area (within Natural Computing) that aims to provide computing devices abstracted from the functioning and structure of living cells. These devices are called P systems. The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Bat2015

    Bat2015

    Bachelor of Science (Informatik)

    ...With a focus on the MILP methods we implement a load balancing and speed up the solving process in a multiplicative way. Sometimes we have super-linear speedup with a small set of hardware. With a splitting of problems, parallel computing and distributing the actual best solution to all running processes we solve CBP much faster than a sequential processing can do.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Genetic Programming in OpenCL is a parallel implementation of genetic programming targeted at heterogeneous devices, such as CPU and GPU. It is written in OpenCL, an open standard for portable parallel programming across many computing platforms.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4

    PPSeq: Parallel NGS Analysis

    Parallel Processing for Next-Generation Sequencing (NGS) Analysis

    High-throughput next generation sequencing (NGS) technology has quickly emerged as a powerful tool in many aspects of biomedical research. However, along with its rapid development, the data magnitude and analysis complexity for NGS far exceed the capacity and capability of traditional small-scale computing facilities, such as multithreading algorithms on standalone workstations. To address this issue, here we present a solution using the ever-increasing supply of processing power by massive parallel processing (MPP) systems.
    Downloads: 0 This Week
    Last Update:
    See Project
  • EHS Software and Management System Icon
    EHS Software and Management System

    ERA offers the only full EHS&Q platform with advanced automation to drive your complete compliance.

    ERA Environmental Software Solutions develops web-based EHS management software for small, medium, and large manufacturers needing to comply with federal, provincial, and state regulations, monitor their air, water, and waste emissions and other environmental outputs, author and manage Safety Data Sheets (SDS) in more than 40 languages, or standardize their Health and Safety procedures for incident and inspection tracking, training delivery, and audit management. The platform also supports comprehensive reporting for programs like TRI, Tier II, Title V, NEI, and NPRI. Companies across the automotive, aerospace, general manufacturing, and paints and coatings industries, to name a few, rely on ERA’s all-in-one, SOC 2 Type II certified SaaS for complete coverage of their EHS needs.
    Learn More
  • 5
    Project provides a set of concurrent building blocks (Java & C/C++) that can be used to develop parallel/multi-threaded applications. Components are grouped into 4 categories: 1.Data Structures 2. Parallel Patterns 3.Parallel functions 4.Atomics and STM
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB