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  1. Pumhs 64 Mac Os Download
  2. Mac Os Download
  3. Pumhs 64 Mac Os Catalina
  4. Pumhs 64 Mac Os Catalina

Mac OS X Tiger is the fifth major release of macOS, Apple's desktop and server operating system for Mac computers. Tiger was released to the public on April 29, 2005 for US$129.95 as the successor to Mac OS X 10.3 Panther. Some of the new features included a fast searching system called Spotlight, a new version of the Safari web browser, Dashboard, a new 'Unified' theme, and improved support for 64-bit addressing on Power Mac G5s.

Software Downloads

Which version of NAMD should I download?

The versions of NAMD below are distinguished first by OS, followed by the type of network interface, and whether or not CUDA is supported. If you are installing NAMD on a standalone workstation, we recommend downloading Linux-x86_64-multicore for Linux or Win64 for Windows. If your workstation has a CUDA-capable GPU, you should try downloading Linux-x86_64-multicore-CUDA or Win64-CUDA. If you wish to run multi-copy algorithms, such as replica-exchange MD, you should try the 'netlrts' builds, such as Linux-x86_64-netlrts or Linux-x86_64-netlrts-smp-CUDA.

If you have a modern NVIDIA GPU (Pascal or newer), you might also be interested to try the new version 3.0 alpha, which includes the option of running standard MD simulations entirely on a single GPU for much faster performance. See the support web page for more information.

Pumhs 64 Mac Os Download

Download NAMD:

Mac Os Download

NAMD is a parallel, object-oriented molecular dynamics code designed for high-performance simulation of large biomolecular systems. Simulation preparation and analysis is integrated into the visualization package VMD.Visit the NAMD website for complete information and documentation.

Selecting an archive below will lead to a user registration and login page. Your download will continue after you have registered or logged in.

Mac

Version Nightly Build (2021-05-02) Platforms:

  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64-multicore-CUDA (NVIDIA CUDA acceleration)

Version 3.0 GPU-Resident Single-Node-Per-Replicate ALPHA Release (2020-11-16) Platforms:

  • Linux-x86_64-multicore-CUDA-SingleNode (NVIDIA CUDA acceleration (single-node))
  • Linux-x86_64-netlrts-smp-CUDA-SingleNode (NVIDIA CUDA acceleration, multi-copy algorithms, single process per copy)

Version 2.15 ALPHA Release (2020-11-03) Platforms:

  • Linux-x86_64-multicore-AMDHIP (AMD HIP/ROCm acceleration)
  • Linux-x86_64-multicore-AVX512 (x86_64 AVX-512)

Version 2.14 (2020-08-05) Platforms:

  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64-multicore-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-netlrts (Multi-copy algorithms, single host or ethernet)
  • Linux-x86_64-netlrts-smp-CUDA (Multi-copy algorithms, single process per copy)
  • Linux-x86_64-verbs (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp-CUDA (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-KNL-multicore (Intel Xeon Phi KNL processor single node)
  • MacOSX-x86_64 (Mac OS X for 64-bit Intel processors)
  • MacOSX-x86_64-CUDA (NVIDIA CUDA acceleration)
  • MacOSX-x86_64-netlrts (Multi-copy algorithms)
  • Win64 (Windows 7, 8, 10, etc.)
  • Win64-CUDA (NVIDIA CUDA acceleration)
  • Win64-MPI (Windows HPC Server, multi-copy algorithms)
  • Win64-MPI-smp-CUDA (HPC Server with CUDA)

Pumhs 64 Mac Os Catalina

Version 2.13 (2018-11-09) Platforms:

Pumhs 64 Mac Os Catalina

  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-x86_64-ibverbs (InfiniBand via OpenFabrics OFED, not for Omni-Path, no MPI needed)
  • Linux-x86_64-ibverbs-smp (InfiniBand plus shared memory, no MPI needed)
  • Linux-x86_64-multicore-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-ibverbs-smp-CUDA (NVIDIA CUDA with InfiniBand)
  • Linux-x86_64-netlrts (Multi-copy algorithms, single host or ethernet)
  • Linux-x86_64-netlrts-smp-CUDA (Multi-copy algorithms, single process per copy)
  • Linux-x86_64-verbs (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp-CUDA (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-KNL-multicore (Intel Xeon Phi KNL processor single node)
  • MacOSX-x86_64 (Mac OS X for 64-bit Intel processors)
  • MacOSX-x86_64-CUDA (NVIDIA CUDA acceleration)
  • MacOSX-x86_64-netlrts (Multi-copy algorithms)
  • Win64 (Windows 7, 8, 10, etc.)
  • Win64-CUDA (NVIDIA CUDA acceleration)
  • Win64-MPI (Windows HPC Server, multi-copy algorithms)
  • Win64-MPI-smp-CUDA (HPC Server with CUDA)

Version 2.12 (2016-12-22) Platforms:

  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-x86_64-ibverbs (InfiniBand via OpenFabrics OFED, not for Omni-Path, no MPI needed)
  • Linux-x86_64-ibverbs-smp (InfiniBand plus shared memory, no MPI needed)
  • Linux-x86_64-multicore-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-ibverbs-smp-CUDA (NVIDIA CUDA with InfiniBand)
  • Linux-x86_64-netlrts (Multi-copy algorithms, single host or ethernet)
  • Linux-x86_64-verbs (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp-CUDA (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-KNL-multicore (Intel Xeon Phi KNL processor single node)
  • MacOSX-x86_64 (Mac OS X for 64-bit Intel processors)
  • MacOSX-x86_64-CUDA (NVIDIA CUDA acceleration)
  • MacOSX-x86_64-netlrts (Multi-copy algorithms)
  • Win32 (Windows XP, etc.)
  • Win64 (Windows 7, 8, 10, etc.)
  • Win64-CUDA (NVIDIA CUDA acceleration)
  • Win64-MPI (Windows HPC Server, multi-copy algorithms)
  • Win64-MPI-smp-CUDA (HPC Server with CUDA)

Version 2.11 (2015-12-22) Platforms:

  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-x86_64-ibverbs (InfiniBand via OpenFabrics OFED, not for Omni-Path, no MPI needed)
  • Linux-x86_64-ibverbs-smp (InfiniBand plus shared memory, no MPI needed)
  • Linux-x86_64-multicore-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-ibverbs-smp-CUDA (NVIDIA CUDA with InfiniBand)
  • Linux-x86_64-multicore-MIC (Intel Xeon Phi coprocessor acceleration)
  • Linux-x86_64-netlrts (Multi-copy algorithms, single host or ethernet)
  • Linux-x86_64-verbs (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • Linux-x86_64-verbs-smp-CUDA (InfiniBand, no MPI needed, supports multi-copy algorithms)
  • MacOSX-x86_64 (Mac OS X for 64-bit Intel processors)
  • MacOSX-x86_64-CUDA (NVIDIA CUDA acceleration)
  • MacOSX-x86_64-netlrts (Multi-copy algorithms)
  • Win32 (Windows XP, etc.)
  • Win64 (Windows 7, 8, 10, etc.)
  • Win64-CUDA (NVIDIA CUDA acceleration)
  • Win64-MPI (Windows HPC Server, multi-copy algorithms)
  • Win64-MPI-smp-CUDA (HPC Server with CUDA)

Version 2.10 (2014-12-11) Platforms:

  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-x86_64-ibverbs (InfiniBand via OpenFabrics OFED, not for Omni-Path, no MPI needed)
  • Linux-x86_64-ibverbs-smp (InfiniBand plus shared memory, no MPI needed)
  • Linux-x86_64-multicore-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-ibverbs-smp-CUDA (NVIDIA CUDA with InfiniBand)
  • Linux-x86_64-multicore-MIC (Intel Xeon Phi coprocessor acceleration)
  • Linux-x86_64-netlrts (Multi-copy algorithms, single host or ethernet)
  • MacOSX-x86_64 (Mac OS X for 64-bit Intel processors)
  • MacOSX-x86_64-netlrts (Multi-copy algorithms)
  • Win64 (Windows 7, 8, 10, etc.)
  • Win64-CUDA (NVIDIA CUDA acceleration)
  • Win64-MPI (Windows HPC Server, multi-copy algorithms)

Version 2.9 (2012-04-30) Platforms:

  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Linux-x86-TCP (TCP may be better on gigabit)
  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-x86_64-ibverbs (InfiniBand via OpenFabrics OFED, not for Omni-Path, no MPI needed)
  • Linux-x86_64-ibverbs-smp (InfiniBand plus shared memory, no MPI needed)
  • Linux-x86_64-multicore-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-ibverbs-smp-CUDA (NVIDIA CUDA with InfiniBand)
  • MacOSX-x86_64 (Mac OS X for 64-bit Intel processors)
  • MacOSX-x86 (Mac OS X for Intel processors, fails on 10.7 'Lion')
  • Win32 (Windows XP, etc.)
  • Win64-MPI (Windows HPC Server, multi-copy algorithms)

Version 2.8 (2011-05-31) Platforms:

  • AIX-POWER-lapi (IBM POWER clusters)
  • AIX-POWER-multicore (IBM POWER single node)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Linux-x86-TCP (TCP may be better on gigabit)
  • Linux-x86_64-multicore (64-bit Intel/AMD single node)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-x86_64-ibverbs (InfiniBand via OpenFabrics OFED, not for Omni-Path, no MPI needed)
  • Linux-x86_64-ibverbs-smp (InfiniBand plus shared memory, no MPI needed)
  • Linux-x86_64-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-ibverbs-CUDA (NVIDIA CUDA with InfiniBand)
  • MacOSX-x86_64 (Mac OS X for 64-bit Intel processors)
  • MacOSX-PPC (Mac OS X for PowerPC)
  • MacOSX-x86 (Mac OS X for Intel processors, fails on 10.7 'Lion')
  • Win32 (Windows XP, etc.)
  • Win64-MPI (Windows HPC Server, multi-copy algorithms)

Version 2.7 (2010-10-15) Platforms:

  • AIX-POWER (IBM POWER)
  • AIX-POWER-MPI (IBM POWER clusters)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Linux-x86-TCP (TCP may be better on gigabit)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-x86_64-ibverbs (InfiniBand via OpenFabrics OFED, not for Omni-Path, no MPI needed)
  • Linux-x86_64-CUDA (NVIDIA CUDA acceleration)
  • Linux-x86_64-ibverbs-CUDA (NVIDIA CUDA with InfiniBand)
  • Linux-Itanium-Altix (original SGI Altix, not Altix UV)
  • MacOSX-PPC (Mac OS X for PowerPC)
  • MacOSX-x86 (Mac OS X for Intel processors, fails on 10.7 'Lion')
  • Win32 (Windows XP, etc.)

Version 2.6 (2006-08-31) Platforms:

  • AIX-POWER (IBM POWER)
  • AIX-POWER-MPI (IBM POWER clusters)
  • BlueGeneL (bypasses MPI for better scaling)
  • BlueGeneP-MPI (Blue Gene/P)
  • Linux-amd64-Clustermatic5-TCP (Clustermatic 5)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Linux-x86-TCP (TCP may be better on gigabit)
  • Linux-x86_64 (64-bit Intel/AMD with ethernet)
  • Linux-x86_64-TCP (TCP may be better on gigabit)
  • Linux-i686-Clustermatic4 (Clustermatic 4 or 5)
  • Linux-i686-Clustermatic4-TCP (TCP may be better on gigabit)
  • Linux-i686-Scyld29 (Scyld Beowulf 29)
  • Linux-i686-Scyld29-TCP (TCP may be better on gigabit)
  • Linux-Itanium (Itanium)
  • Linux-Itanium-Altix (original SGI Altix, not Altix UV)
  • MacOSX-PPC-xlC (Mac OS X for PowerPC, needs IBM libraries)
  • MacOSX-x86 (Mac OS X for Intel processors, fails on 10.7 'Lion')
  • Origin2000 (any SGI, shared-memory only)
  • Origin2000-MPI (SGI MPI)
  • Tru64-Alpha-Elan (AlphaServer SC with Quadrics)
  • Tru64-Alpha-MPI (HP MPI, no Quadrics or Elan)
  • Win32 (Windows XP, etc.)

Version 2.5 (2003-09-29) Platforms:

  • AIX-POWER (IBM POWER)
  • AIX-POWER-MPI (IBM POWER clusters)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Linux-x86-TCP (TCP may be better on gigabit)
  • Linux-i686-Clustermatic (Clustermatic 3)
  • Linux-i686-Clustermatic-TCP (TCP may be better on gigabit)
  • Linux-i686-Scyld (Scyld Beowulf)
  • Linux-i686-Scyld-TCP (TCP may be better on gigabit)
  • MacOSX-PPC (Mac OS X for PowerPC)
  • Origin2000 (any SGI, shared-memory only)
  • Origin2000-MPI (SGI MPI)
  • Solaris-Sparc-MPI (Sun HPC ClusterTools)
  • Tru64-Alpha-Elan (AlphaServer SC with Quadrics)
  • Tru64-Alpha-MPI (HP MPI, no Quadrics or Elan)
  • Win32 (Windows XP, etc.)

Version 2.4 (2002-03-11) Platforms:

  • AIX-POWER (IBM POWER)
  • AIX-POWER-MPI (IBM POWER clusters)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Linux-i686-Scyld (Scyld Beowulf)
  • MacOSX-PPC (Mac OS X for PowerPC)
  • Origin2000 (any SGI, shared-memory only)
  • Origin2000-MPI (SGI MPI)
  • Solaris-Sparc-MPI (Sun HPC ClusterTools)
  • Tru64-Alpha-Elan (AlphaServer SC with Quadrics)
  • Win32 (Windows XP, etc.)

Version 2.3 (2001-08-02) Platforms:

  • AIX-POWER (IBM POWER)
  • AIX-POWER-MPI (IBM POWER clusters)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Linux-i686-Scyld (Scyld Beowulf)
  • MacOSX-PPC (Mac OS X for PowerPC)
  • Origin2000 (any SGI, shared-memory only)
  • Origin2000-MPI (SGI MPI)
  • Solaris-Sparc-MPI (Sun HPC ClusterTools)
  • Tru64-Alpha-Elan (AlphaServer SC with Quadrics)
  • Win32 (Windows XP, etc.)

Version 2.2 (2000-09-29) Platforms:

  • AIX-POWER (IBM POWER)
  • AIX-POWER-MPI (IBM POWER clusters)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Origin2000 (any SGI, shared-memory only)
  • Origin2000-MPI (SGI MPI)
  • Win32 (Windows XP, etc.)

Version 2.1 (1999-11-11) Platforms:

  • AIX-POWER (IBM POWER)
  • Linux-x86 (32-bit Intel/AMD with ethernet)
  • Origin2000 (any SGI, shared-memory only)
  • Origin2000-MPI (SGI MPI)

The evolution in computing horsepower is more of everything—first it was more gigahertz, then more cores, and on top of that, more bits for the integer registers inside the CPU. Whereas 32-bit registers have been the historical norm, 64-bit processors are taking over. A CPU with 64-bit registers can address much more RAM than can a 32-bit CPU, which is a big advantage to programs that require large amounts of memory. Today’s Intel Core 2 Duo are 64-bit chips, as but one example.

OS X, however, is not yet a fully 64-bit operating system. With the introduction of OS X 10.4, you could run some programs in Terminal in 64-bit mode. Things changed with 10.5, when support was added to allow some 64-bit applications in the GUI, assuming the program has been coded to work in 64-bit mode. (Things will change even more in OS X 10.6 when it comes out in a year or so, as it will be a fully 64-bit operating system.) But enough with the history of the CPU. If you’re curious as to which of your programs are already 64-bit, you can find out with a Terminal command.

If you’re on an Intel-powered Mac, this command will show you all the programs on your machine that can run in 64-bit mode:

If you’re on a PowerPC-powered Mac, use this version instead:

That’s actually three separate commands, of course. locate lists all files matching a given condition (in this case, a string that contains indications that something is in Applications, along with the path to the folder containing the actual executable file), and xargs runs a command against the set of matches passed to it (one match at a time) from locate. In this case, that command is file, which returns information about files. Both commands use the -0 option, which replaces the standard line break separator with a NUL character. Finally, a grep command is run to search for a string (either x86_64 or ppc64) within the output of the file command.

When run on my MacBook Pro, the output looks like this:

Pumhs

While the output isn’t the easiest to read, it’s still relatively straightforward—just look for the “.app” portion of the string. In my case, the 64-bit programs on my MacBook Pro include Chess, Java Preferences and Java Web Start, Araxis Merge, etc.

If this command doesn’t work for you, it’s possible your locate database hasn’t been created (OS X’s maintenance routines should create it if they get the chance to run). To create the database manually, use this Terminal command:

That command will take a while to run, depending on the size of your hard drive. Once it’s done, though, you can use the above commands to check and see which of your programs are ready for the coming 64-bit world.

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