Open Source Symmetric Multiprocessing (SMP) Software

Symmetric Multiprocessing (SMP) Software

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Browse free open source Symmetric Multiprocessing (SMP) software and projects below. Use the toggles on the left to filter open source Symmetric Multiprocessing (SMP) software by OS, license, language, programming language, and project status.

  • Migrate to innovate with Red Hat Enterprise Linux on Azure Icon
    Migrate to innovate with Red Hat Enterprise Linux on Azure

    Streamline your IT modernization journey with a holistic environment running Red Hat Enterprise Linux on Azure.

    With Red Hat Enterprise Linux on Azure, businesses can confidently modernize their IT environment, knowing they don’t have to compromise on security, scalability, reliability, and ease of management. Securely accelerate innovation and unlock a competitive edge with enterprise-grade modern cloud infrastructure.
  • APIs for the next generation of business text messaging Icon
    APIs for the next generation of business text messaging

    For companies that need a reliable messaging API provider

    Get your customers’ messages where they need to go with 99%+ deliverability. Telgorithm’s API automates A2P compliance & message management for faster, easier, & more reliable messaging, enabling you to offer the best service to your customers.
  • 1
    BRL-CAD

    BRL-CAD

    Open Source Solid Modeling CAD

    BRL-CAD is a powerful cross-platform constructive solid geometry solid modeling system that includes an interactive geometry editor, ray-tracing for rendering & geometric analyses, network distributed framebuffer support, image & signal-processing tools.
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    Downloads: 163 This Week
    Last Update:
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  • 2
    System Stability Tester
    System Stability Tester is a multi platform open source clone of SuperPI and comes with a GUI and a CLI. It can be used for CPU and RAM burning, stressing and benchmarking.
    Downloads: 67 This Week
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  • 3
    FKILL

    FKILL

    Cross-platform tool to kill processes

    To kill a port, prefix it with a colon. For example: :8080. Run without arguments to use the interactive interface. Run fkill without arguments to launch the interactive UI. Force kill processes that did not exit within the given number of milliseconds. Kill all child processes along with the parent process. (Windows only). Ignore capitalization when killing a process. Note that the case is always ignored on Windows. Suppress all error messages. For example: Process doesn't exist.
    Downloads: 1 This Week
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  • 4
    Systray application that manages affinity and priority settings of Windows programs based on user defined profiles. Affinity profiles may specify either physical CPUs or logical CPU identifiers that expose eventual asymmetries in the system.
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    Downloads: 18 This Week
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  • Pimberly PIM - the leading enterprise Product Information Management platform. Icon
    Pimberly PIM - the leading enterprise Product Information Management platform.

    Pimberly enables businesses to create amazing online experiences with richer, differentiated product descriptions.

    Drive amazing product experiences with quality product data.
  • 5
    FFT-z
    Fast Fourier Transforms (FFT) for Multi-CPU (and RAM) Stress Testing. Shows detailed information about physical and logical processors in the system. Included CPU Benchmark feature for speed testing. Automatically utilizes and tests all CPU cores.
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    Downloads: 11 This Week
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  • 6
    Open source Algol 68 implementations

    Open source Algol 68 implementations

    Implementations for the Revised Report language

    This project offers open source implementations for UNESCO/IFIP's Algol 68 (the Revised Report language). The project offers two implementations: Implementation 1 is Algol68G: a recent checkout hybrid compiler/interpreter by Marcel van der Veer, supporting arbitrary arithmetic, partial parametrisation, complex numbers, POSIX threads, GNU plotutils, GNU scientific library, curses, sound, TCP sockets, RegEx and PostgreSQL. Inplementation 2 is algol68toc, a port by Sian Mountbatten of the vintage Algol68RS (UK Defense Research Agency) compiler. The implementation emits C code.
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    Downloads: 17 This Week
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  • 7
    Parallel Events and Asynchronous tasKing Library. Originally combining multi-threading with an efficient I/O event model, it's now more a lightweight object-oriented framework for event-based applications.
    Downloads: 16 This Week
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  • 8
    QuickMAN is a Mandelbrot fractal generator with multicore support. ASM-optimized code reaches billions of iterations per second on fast CPUs. Features an easy-to-use GUI, realtime pan/zoom, multiple palettes, image logging, and saving in PNG format.
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    Downloads: 4 This Week
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  • 9
    The first true nanokernel for x86 that gives a unix prompt on a real bourne shell in respect of all security rules!
    Downloads: 5 This Week
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  • ThermoGrid Contractor Management Software Icon
    ThermoGrid Contractor Management Software

    ThermoGrid is a specialized contractor management software tool for managing field service operations

    Nail down how you manage your day-to-day and level up your services. Whether you are a plumber, electrician, or HVAC technician, ThermoGrid brings together all areas of your business so you can get the job done right.
  • 10
    Trion Operating System
    The Trion Object Oriented Operating system is an OS that is designed to meet the needs for the 21st century, with a kernel written in C++ and modelled in UML, and lots of features. The project is run by a team of OSDev.org community members.
    Downloads: 2 This Week
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  • 11
    This is an opensource project for the calculation of the mathematical constant Pi. If you are a mathematician or programer please contribute ideas or code for this project. Non professionals are also welcome to contribute.
    Downloads: 1 This Week
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  • 12
    SirVer
    SirVer is an C# Web Server with a script language supported by the Framework .Net and Mono
    Downloads: 1 This Week
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  • 13
    libctf is a c thread foundation library that extends pthread functionality by providing common utilities for the programmer. This will ease and enhance threaded program development.
    Downloads: 1 This Week
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  • 14
    New programming language for SPS devices like Amtel Controller . The basic element of this language will be small Moduls of Code which work parallel (Multitasking). A Module can work indepent or with addiction to other Moduls.
    Downloads: 1 This Week
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  • 15
    ASP Watcher is a high performance (smokin') MS Internet Information Server Monitoring package. It is small, scaleable, and works pretty good.
    Downloads: 0 This Week
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  • 16
    This is a library to expose the functionality of the Barrier Synchronization Register (BSR) on IBM POWER Systems in Linux. This facility helps speed up synchronization across large SMP systems.
    Downloads: 0 This Week
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  • 17
    Brahma is an open-source library written for the .NET 3.5 framework (in C# 3.0), to provide high-level access to parallel streaming computations on a variety of processors, including GPUs.
    Downloads: 0 This Week
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  • 18
    CLuMPI (OpenCL under MPI) is an implementation of the OpenCL interface which uses MPI as a back end
    Downloads: 0 This Week
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  • 19
    Set of programs and scripts that will allow to improve the usage of CPUSET. It includes a "jail" for users to just use on cpuset and sets and permissions management. (See web for more information)
    Downloads: 0 This Week
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  • 20
    Enable CUDA on AMD/ATI graphic cards
    Downloads: 0 This Week
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  • 21
    The Cell Messaging Layer is an extremely fast, MPI-like communication library for clusters of Cell Broadband Engine processors. With it, any Cell synergistic processing element (SPE) can communicate directly with any other SPE, even across a network.
    Downloads: 0 This Week
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  • 22
    CheckFence is a SAT-based formal verification tool that analyzes C code implementing concurrent data types on multiprocessors (concurrent queues, sets etc.) with respect to a selected memory model.
    Downloads: 0 This Week
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  • 23
    DRT

    DRT

    Dataflow Run Time

    This software aims at demonstrating that we can easily provide a very small and powerful runtime for running programs that are coded in whatever programming model, but that could be *executed* in a DATAFLOW style. The Dataflow Run Time (DRT) provides the runtime support for that The first benefit of this software is to allow a rapid development of such programs in the context of the TERAFLUX project http://teraflux.eu The runtime API has been designed in such way to allow for a future development of a good compiler that targets such interface on one side, and to allow for a good architectural support of such API too: ideally each function could map to a Thread-Level-Parallelism Instruction Set Extension (TLP ISE).
    Downloads: 0 This Week
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  • 24
    DistributedCL is a middleware that provides location-transparent GPU processing to applications developed using the OpenCL API. Moved to GitHub. https://github.com/andrelrt/distributedcl
    Downloads: 0 This Week
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  • 25
    EventMachine

    EventMachine

    EventMachine, fast, simple event-processing library for Ruby programs

    EventMachine is an event-driven I/O and lightweight concurrency library for Ruby. It provides event-driven I/O using the Reactor pattern, much like JBoss Netty, Apache MINA, Python's Twisted, Node.js, libevent and libev. Extremely high scalability, performance and stability for the most demanding production environments. An API that eliminates the complexities of high-performance threaded network programming, allowing engineers to concentrate on their application logic. This unique combination makes EventMachine a premier choice for designers of critical networked applications, including Web servers and proxies, email and IM production systems, authentication/authorization processors, and many more. EventMachine has been around since the early 2000s and is a mature and battle-tested library.
    Downloads: 0 This Week
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Guide to Open Source Symmetric Multiprocessing (SMP) Software

Open source symmetric multiprocessing (SMP) software is an operating system that allows applications to use multiple computer processors simultaneously. It enables users to better utilize their hardware resources and can significantly improve performance. This type of software is based on open source code, so it is free and accessible to anyone who wishes to modify or develop the software themselves.

Open SMP has a lot of advantages compared to traditional uniprocessor systems. Its main advantage is scalability – in other words, it can easily be scaled up or down depending on the user’s needs. Open SMP also uses shared memory space and uniform access time, which simplifies resource management and enhances data caching efficiency. With its advanced process scheduling capabilities, SMP can take advantage of idle CPU cycles by letting one processor handle tasks while another takes a break from them; this ensures maximum utilization of all available computing resources at any given time.

Another major benefit of using open source SMP software lies in its high efficiency with multi-threaded applications– these applications work best when several cores are utilized at once for optimal performance–and its improved I/O throughput performance resulting from simultaneous read/writes operations across multiple processors. Lastly, open source SMP software provides enhanced fault tolerance capabilities due to its ability to replicate redundant workloads over different sets of CPUs as well as utilize checkpoints in order to maintain system integrity even if a single processor fails during operation.

In short, open source symmetric multiprocessing (SMP) software offers significant system level improvements in terms of speed, scalability, resource utilization and fault tolerance compared with traditional uniprocessor systems — making it an attractive option for those looking for improved performance from their hardware investments.

Features Provided by Open Source Symmetric Multiprocessing (SMP) Software

  • Load Balancing: Open source SMP software typically has the ability to run processes, jobs, and data sets across multiple processors in order to achieve balanced workloads and better performance.
  • Resource Sharing: Open source SMP software allows multiple processors to access shared memory or input/output devices, thus allowing for higher utilization of these resources while still providing a consistent user experience.
  • Fault Tolerance: Open source SMP software can detect if one of its processors fail and take appropriate action so as not to disrupt operations. This ensures that service levels are maintained despite the occurrence of processor failure.
  • Scalability: Open source SMP software is designed with scalability in mind so that users can add additional processors as needed without having to rewrite their code or reconfigure the system.
  • Data Integrity & Security: Open source SMP software typically features built-in encryption capabilities as well as other security measure such as authentication and access control mechanisms so as to ensure the integrity of data being processed on the system.

What Types of Open Source Symmetric Multiprocessing (SMP) Software Are There?

  • Load Balancing: Open source SMP software typically has the ability to run processes, jobs, and data sets across multiple processors in order to achieve balanced workloads and better performance.
  • Resource Sharing: Open source SMP software allows multiple processors to access shared memory or input/output devices, thus allowing for higher utilization of these resources while still providing a consistent user experience.
  • Fault Tolerance: Open source SMP software can detect if one of its processors fail and take appropriate action so as not to disrupt operations. This ensures that service levels are maintained despite the occurrence of processor failure.
  • Scalability: Open source SMP software is designed with scalability in mind so that users can add additional processors as needed without having to rewrite their code or reconfigure the system.
  • Data Integrity & Security: Open source SMP software typically features built-in encryption capabilities as well as other security measure such as authentication and access control mechanisms so as to ensure the integrity of data being processed on the system.

Benefits of Using Open Source Symmetric Multiprocessing (SMP) Software

  1. Cost Effective: Open source SMP software is free and open-source, meaning there are no upfront license fees or ongoing costs associated with the software. This makes it an ideal choice for businesses and organizations that are looking to reduce their IT costs.
  2. Flexible & Customizable: With open source SMP software, users can customize the code to meet their specific needs or add additional features or functionality. This flexibility allows them to create applications tailored to their particular requirements without being locked into any proprietary solutions.
  3. Reliable & Secure: Open source SMP software is usually developed in a collaborative environment by a large community of developers who work together to maintain its stability and security. This ensures that users get access to secure, high-quality code that will not be affected by bugs or other vulnerabilities caused by rushed development processes.
  4. Scalable & Adaptable: Open source SMP software can also be easily scaled up or down depending on the user’s needs, making it well suited for both small and large businesses alike. Additionally, since the code is open source, future updates and upgrades can be easily implemented as needed – giving users greater control over their application’s performance throughout its life cycle.

Types of Users That Use Open Source Symmetric Multiprocessing (SMP) Software

  • Home Users: Individuals or families who use open source SMP software on personal computers, typically for everyday tasks such as browsing the web, composing documents, and sending emails.
  • Small Businesses: Organizations that use open source SMP software to increase productivity and efficiency by multitasking on multiple computers simultaneously.
  • Enterprises: Large organizations that often rely upon more sophisticated features of open source SMP software for efficient handling of large datasets, complex simulations, and intensive computing jobs.
  • Governments: National governments and international organizations sometimes employ open source SMP software for their computer infrastructure needs due to budget constraints.
  • Academic Institutions: Universities and research institutions often take advantage of the low cost (free) and wide range of features available from open source SMP software in order to explore solutions to a variety of problems.
  • Private Cloud Deployments: Companies that wish to offer cloud-based services such as hosting websites or file backup can leverage the power of open source SMP software to do so without having to purchase expensive hardware or develop their own proprietary solutions.

How Much Does Open Source Symmetric Multiprocessing (SMP) Software Cost?

Open source symmetric multiprocessing (SMP) software is generally free. This means that anyone can download it, use it, and modify it for their own needs without paying a single cent. While there are some commercial SMP software products available on the market, they tend to be quite expensive. However, open source SMP offers an excellent alternative to those looking for a more cost-effective solution. Open source SMP software typically requires you to have the technical know-how necessary to install and configure it correctly; however, once setup is complete, the resulting benefits are well worth the effort. In addition to being free of charge, these solutions often offer high performance even when compared with commercial alternatives; plus they come with fewer restrictions in terms of licensing and usage. By using open source SMP software you'll be able to access powerful features at no additional cost; providing an ideal solution for any environment where cost savings or flexibility are important considerations.

What Software Does Open Source Symmetric Multiprocessing (SMP) Software Integrate With?

Open source symmetric multiprocessing (SMP) software can integrate with a variety of different types of software. This includes database software, such as MySQL, cloud-based systems, development platforms like Eclipse and languages like Python. Additionally, open source SMP software can be connected to communication tools such as Slack or email services like Gmail. It is also often integrated with modern development frameworks like Node.js and React, which are used for building dynamic websites and apps on the internet. Finally, open source SMP can work in tandem with a range of custom applications tailored specifically for an organization's needs.

Open Source Symmetric Multiprocessing (SMP) Software Trends

  1. Open source SMP software is becoming increasingly popular as businesses seek cost-effective, highly reliable solutions for their computing needs.
  2. The use of open source SMP software has been steadily increasing in recent years, due to its versatility in managing distributed systems and its ability to integrate with other types of software.
  3. Open source SMP software is seen as a viable alternative to traditional proprietary solutions, as it can provide a number of benefits such as scalability, flexibility, and reliability.
  4. Open source SMP software is also becoming increasingly popular for use in cloud computing applications due to its ability to handle large and complex workloads.
  5. With the increasing adoption of open source SMP software, developers are creating more innovative tools and features that make the software even more powerful and reliable.
  6. Open source SMP software is becoming more widely used in the enterprise sector, due to its cost-effectiveness and robust features.
  7. The open source community is actively involved in developing new features for open source SMP software, making it an attractive option for businesses looking for reliable solutions.

How Users Can Get Started With Open Source Symmetric Multiprocessing (SMP) Software

  1. Determine the type of software you need: First, you need to determine what type of SMP software will best meet your needs. Are you looking for basic SMP features or more advanced features? This will help narrow down your search and make it easier to find a suitable program.
  2. Choose an open source SMP program: Once you know what type of software you want, it's time to start looking at open source programs that offer that functionality. There are many different options available, so do some research online to compare them and identify which one looks like the best fit for your needs.
  3. Download and install: Once you've identified an appropriate program, download and install it on your system. Depending on which operating system you're running, installation may be as easy as double-clicking the file or require more sophisticated command line instructions.
  4. Start learning how to use the program: Now that your new SMP software is installed, it's time to start familiarizing yourself with its features and functions so that you can effectively utilize it in whatever task or project you have in mind for it. Most open source programs include documentation that explains how everything works and provides tips on using specific features and functions within the software itself – be sure to leverage this resource.
  5. Identify changes/improvements needed: After some practice using your new SMP software, review its capabilities again relative to whatever task or project requires its use – this should flag any areas where improvements could be made such as additional features being added or enhancements implemented on existing ones; then take these suggestions back into consideration if this same application were ever used again in future projects.