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    Parallel Computing Manager

Major Features

Parallel Computing Manager
Version 1.7

PCM provides a modern user interface for distributing and initiating a numerically-intensive parallel application on a networked cluster of Macintoshes.  It coordinates the distribution of data, acts out commands from other nodes, and provides a user interface to start and monitor parallel computing jobs.

This patent-pending technology allows the user to combine supercomputing-level features with an easy-to-use, modern user interface, a combination unmatched by any other cluster solution.

Its unique technology design allows it to be flexible enough to operate in a wide variety of network environments and cluster configurations and while supporting the largest number of programming environments. It has supported the industry-standard Message-Passing Interface since day one, making it easy to write portable supercomputing code on a Mac cluster. At the same time it supports grid- and distributed-computing models.

Cluster Deployments
Command-Line Interface
Web Interface
MPI (Message-Passing Interface)
Grid & Distributed
Parallel Computing Tutorials
Cluster SDK for HPC

Ease of Use
Flexibility and Efficiency
Advanced Technology
Performance and Scalability

  • Installs on a node in seconds!

  • Employs easy-to-use Macintosh graphical user interface, including drag-and-drop!

  • Utilizes the "brushed metal" look available in OS X 10.3 and later.

  • Requires a minimum of system configuration - similar to a web browser

  • Clusters virtually any combination of Intel or PowerPC Macintoshes running OS 9 or OS X

    - demonstrated robustness (other clustering solutions have been known to break due to inconsistencies in the kernel version)

  • Supports automated, "Computational Grid"-like cluster access for mainstream applications

    - For examples, see the Power Fractal app and the Fresnel Diffraction Explorer.

  • The Job Window provides access to two drawers for commonly used functions:

    - the Recent Items drawer displays and recalls recently used app, files, nodes, and nodes of the remote node scan cache

    - the Options drawer accesses all the options of the job

  • Easily coexists with other applications, such as Adobe Photoshop or Microsoft Office

  • Does not depend on File Sharing, Network File System (NFS), rsh, static host files, mpirun, etc.

  • Does not require modifications to the hardware or the operating system


Ease of Use
Flexibility and Efficiency
Advanced Technology
Performance and Scalability

  • Dynamically discovers resources on any TCP/IP network (10BaseT, 100BaseT, Gigabit, Airport, or combinations)

  • Actively queries nodes for current status and other time-dependent attributes

  • Determines the capability and capacities of compute nodes on demand

  • Recognizes and utilizes multiprocessor Macs and OS X multitasking for cluster computing by automatically launching multiple tasks on multiprocessor machines (running OS X 10.2.1 or later):

    - Parallel applications can use one API to mix parallel computing both inside a box and across boxes

  • The Network Scan Window views the cluster in three alternative views:

    - a Node View for adding news to a job and to display diagnostics about nodes of the cluster

    - a Job View to scan the entire network for queued, launching, running, terminated, and aborted jobs and display statistics about these jobs

    - a Network View to scan multiple networks simultaneously

  • Utilizes after-hours computing and unutilized machines

  • Supports five different user interfaces:

  • Supports customized job queuing using AppleScript, Automator, or via Unix command line

  • Schedules node registration and deregistration

  • Supports five different implementations of the Message-Passing Interface API:
    • MacMPI_X - UCLA AppleSeed
    • mpich - Argonne National Laboratory
    • MPI-Pro - MPI Software Technology, Inc.
    • mpich-gm - for Myrinet hardware from Myricom, Inc.
    • LAM/MPI - Pervasive Computing Labs, Indiana University

  • Launches seven application types (see the SDK):
      On OS 9:
    • Classic applications
    • Carbon applications

      On OS X:
    • Carbon applications
    • Universal applications
    • Cocoa bundle-based applications
    • Mach-O executables (in the background or in the Terminal)
    • Unix shell scripts (in the background or in the Terminal)
    • AppleScript applications


Ease of Use
Flexibility and Efficiency
Advanced Technology
Performance and Scalability

  • Includes patent-pending technologies!

  • An advanced queuing and scheduling system for retaining jobs until specific conditions are met integrated with:

  • A job tracking system designed to monitor the progress and execution of jobs and retain statistics and other historical data about terminated jobs

  • Secure resource management, via a modern graphical user interface, by users and groups, regulating CPU time quotas, job duration limits, and even rollover minutes!

  • Rates nodes to support "Computational Grid"-like features such as the ability to choose the "best" nodes automatically

  • In its "Automatically Acquire Nodes" feature, jobs utilize heuristic algorithms to automatically acquire a specified number of nodes or processors in a cluster

  • Searches for and combines resources over the Internet

  • Discovers using Bonjour (a. k. a. ZeroConf) and Service Location Protocol (SLP) simultaneously

  • Securely sends internode commands using 512-bit rotating encryption

  • Recognizes and preserves Unix-style file privileges

  • Copies entire folder structures

  • Monitors currently running processes and jobs

  • Kills remote processes and jobs

  • Runs on nodes while they are logged out! (OS X only)


Ease of Use
Flexibility and Efficiency
Advanced Technology
Performance and Scalability

* using Power Fractal


System Requirements:

Power Macintoshes connected using a TCP/IP network (100BaseT, 10BaseT, Gigabit, Airport, etc.) running OS X 10.3.9 and later.

For documention, see the Manual Page.

You can get a trial version via the Download Page.

© Copyright 2001-2006 Dauger Research, Inc. All rights reserved. PO Box 3074, Huntington Beach, CA 92605 USA