Verb Benders Mac OS

adminMay 31 2021

Verb Benders Mac OS

Verb Benders Mac Os Catalina
Verb Benders Mac Os Catalina

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.

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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:

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: