PUMHS 64 Mac OS

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Explore the world of Mac. Check out MacBook Pro, MacBook Air, iMac, Mac mini, and more. Visit the Apple site to learn, buy, and get support.

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.

  • Mac Admin Console - Mac OS 10.12 and higher; Windows FileWave Server - Windows 2012 R2 and 2016 (min 4GB RAM but 8 G= B recommended) Windows Servers: End of Life. FileWave 13.3 will be the last FileWave r= elease capable of running natively on the Windows Server platform. Fil= eWave Server version 14 and beyond will only be supported on macOS.
  • To see if your Mac’s processor is 32-bit or 64-bit, go to the Apple menu and choose About This Mac. Below the operating system version and computer model name you’ll see your processor.

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.

Download NAMD:

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.

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:

Pumhs
  • 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)

Version 2.13 (2018-11-09) 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-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)

Getting cwebp, dwebp, and the WebP Libraries

cwebp encodes images in either JPEG, PNG or TIFF format into WebP, whiledwebp decodes them back into PNG. For a quick and easy way to get startedconverting your images, the following archives are available on thedownloads repository.

  • libwebp-1.2.0-windows-x64.zip : 64-bit executables andlibraries for Windows-x64 platform.

  • libwebp-1.2.0-linux-x86-64.tar.gz : 64-bit executables andlibraries for GNU/Linux-x86_64 platform.

  • libwebp-1.2.0-mac-10.15.tar.gz : 64-bit executables andlibraries for Mac OS X 10.15 (Catalina) platform.

All these archives contain both the cwebp and dwebp precompiledexecutables, along with the libwebp.a library and C headers (the latterallowing you to add WebP encoding or decoding to your own programs).

Note (for Linux and Mac OS X):

  1. The 64-bit GNU/Linux binaries have been dynamically linked to the jpeg, png and tiff libraries. These libraries should be available on your system. However, if starting the binaries prints an error about the availability of libpng, libjpeg or libtiff, check the section Preparing the Platform on this page for installing them on your system.

  2. Conversely, the libpng, libjpeg and libtiff libraries have been statically linked in the Mac OS X binaries. They do not require additional installation.

OS X Package Managers

Mac Os Versions

Additionally, the WebP tools are often available for Mac OS X via Homebrewand MacPorts.

Pumhs 64 Mac Os X

What Next?

Pumhs 64 Mac Os Pro

Go to Using WebP for instructions on how to startconverting your images.