rmpc is a terminal based Music Player Daemon client heavily inspired by ncmpcpp and ranger/lf file managers. It has support for synchronized lyrics, and displaying album cover art with various terminal image protocols.

Python-mpd2 is a Python library which provides a client interface for the Music Player Daemon.

ncmpc is a fully featured MPD client, which runs in a terminal using ncurses.

mcg (CoverGrid) is a client for the Music Player Daemon (MPD), focusing on albums instead of single tracks. It is not intended to be a replacement for your favorite MPD client but an addition to get a better album-experience.

Ncmpcpp is an mpd client with a UI very similar to ncmpc, but it provides new useful features such as support for regular expressions for library searches, extended song format, items filtering, the ability to sort playlists, and a local file system browser.

Sonata is an elegant graphical client for the Music Player Daemon (MPD). It supports playlists, multiple profiles (connecting to different MPD servers, search and multimedia key support.

MPC is a minimalist command line interface to MPD, the music player daemon.

mpdscribble is a Music Player Daemon client which submits information about tracks being played to a scrobbler, such as Libre.FM.

Music Player Daemon (MPD) is a flexible, powerful, server-side application for playing music. Through plugins and libraries it can play a variety of sound files while being controlled by its network protocol.

A stable, documented, asynchronous API library for interfacing MPD in the C, C++ & Objective C languages.

Cantata is a graphical client for the Music Player Daemon (MPD). Its user interface is highly customizable, supporting multiple collections, ratings, and dynamic playlists. A local cache of the music library will be created to provide a hierarchy of albums and artists along with albumart.

The Score-P (Scalable Performance Measurement Infrastructure for Parallel Codes) measurement infrastructure is a scalable and easy-to-use tool suite for profiling, event trace recording, and online analysis of high-performance computing (HPC) applications.

The Open MPI Project is an MPI-3 implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available. Open MPI offers advantages for system and software vendors, application developers and computer science researchers.

The Open MPI Project is an MPI-3 implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available. Open MPI offers advantages for system and software vendors, application developers and computer science researchers.

hwloc provides a portable abstraction (across OS, versions, architectures, ...) of the hierarchical topology of modern architectures, including NUMA memory nodes, sockets, shared caches, cores and simultaneous multithreading. It also gathers various attributes such as cache and memory information. It primarily aims at helping high-performance computing applications with gathering information about the hardware so as to exploit it accordingly and efficiently.

hwloc may display the topology in multiple convenient formats. It also offers a powerful programming interface to gather information about the hardware, bind processes, and much more.

MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors.

mpi4py is constructed on top of the MPI-1/MPI-2 specification and provides an object oriented interface which closely follows MPI-2 C++ bindings. It supports point-to-point and collective communications of any picklable Python object as well as optimized communications of Python objects (such as NumPy arrays) that expose a buffer interface.

This version of Open MPI has an implementation of MPI_Init_thread that provides MPI_THREAD_MULTIPLE. This won't work correctly with all transports (such as openib), and the performance is generally worse than the vanilla openmpi package, which only provides MPI_THREAD_FUNNELED.

The Open MPI Project is an MPI-3 implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available. Open MPI offers advantages for system and software vendors, application developers and computer science researchers.

The Open MPI Project is an MPI-3 implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available. Open MPI offers advantages for system and software vendors, application developers and computer science researchers.

hwloc provides a portable abstraction (across OS, versions, architectures, ...) of the hierarchical topology of modern architectures, including NUMA memory nodes, sockets, shared caches, cores and simultaneous multithreading. It also gathers various attributes such as cache and memory information. It primarily aims at helping high-performance computing applications with gathering information about the hardware so as to exploit it accordingly and efficiently.

hwloc may display the topology in multiple convenient formats. It also offers a powerful programming interface to gather information about the hardware, bind processes, and much more.

hwloc provides a portable abstraction (across OS, versions, architectures, ...) of the hierarchical topology of modern architectures, including NUMA memory nodes, sockets, shared caches, cores and simultaneous multithreading. It also gathers various attributes such as cache and memory information. It primarily aims at helping high-performance computing applications with gathering information about the hardware so as to exploit it accordingly and efficiently.

hwloc may display the topology in multiple convenient formats. It also offers a powerful programming interface to gather information about the hardware, bind processes, and much more.

Gotcha is a library that wraps functions. Tools can use gotcha to install hooks into other libraries, for example putting a wrapper function around libc's malloc. It is similar to LD_PRELOAD, but operates via a programmable API.

MPICH is a high-performance and portable implementation of the Message Passing Interface (MPI) standard (MPI-1, MPI-2 and MPI-3). MPICH provides an MPI implementation that efficiently supports different computation and communication platforms including commodity clusters, high-speed networks (10 Gigabit Ethernet, InfiniBand, Myrinet, Quadrics), and proprietary high-end computing systems (Blue Gene, Cray). It enables research in MPI through a modular framework for other derived implementations.

The Open MPI Project is an MPI-3 implementation that is developed and maintained by a consortium of academic, research, and industry partners. Open MPI is therefore able to combine the expertise, technologies, and resources from all across the High Performance Computing community in order to build the best MPI library available. Open MPI offers advantages for system and software vendors, application developers and computer science researchers.