DelPhi C++ v7.1
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Platform/Operating System
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Distributions (code, manual and makefile etc.)
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Linux, compiled with gcc |
Linux |
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Mac OSX, compiled with gfortran |
Mac |
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Delphi for Windows, compiled with MinGW |
Windows |
DelPhi F95 v6
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Platform/Operating System
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Distributions (code, manual and makefile etc.)
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Linux, compiled with gcc (single precision)
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Linux_SinglePrecision
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Linux, compiled with gcc (double precision)
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Linux_DoublePrecision
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Mac OSX, compiled with gfortran on Darwin 1O.6
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Mac OS X
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Delphi for Windows
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Windows
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Parallel Version
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Platform/Operating System
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Distributions (code, manual and makefile etc.)
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Parallel DelPhi F95 v5
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Linux, compiled with gcc (double precision)
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Source Code
 
User Guide
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Old Version(s)
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Platform/Operating System
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Distributions (code, manual and makefile etc.)
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DelPhi F77 v5.1
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Linux, compiled with gcc (single precision)
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Linux_SinglePrecision
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Linux, compiled with gcc (double precision)
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Linux_DoublePrecision
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Mac OSX, compiled with gfortran on Darwin 10.6
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Mac OS X
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Delphi for Windows
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Windows
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Note: Since March 21, 2011, DelPhi is distributed through our website as both single and double precision versions for Linux. The source code is practically identical, except for some declarations of variables, but the compilation is done with either single or double precision flags. On small and medium size systems, both version give practically identical results, however, be aware that the results may be slightly different (less than 1%) on large systems calculated on large grid size. Note that our previous results and the examples provided were done with single precision version. Single precision version is about 30% faster than double precision is. Ultimately, in near future these two versions will converge into a hybrid version which will incorporate the advantages of both cases.
Please cite the following paper when publishing anything resulting from usage of our downloadable DelPhi distribution:
Li L, Li C, Sarkar S, Zhang J, Witham S, Zhang Z, Wang L, Smith N, Petukh M, Alexov E. 'DelPhi: a comprehensive suite for DelPhi software and associated resources.' BMC, Biophys, (2012) May14;4(1):9.
Usage of parallelized DelPhi should be acknowledged by citing the following:
Li C, Petukh M, Li L, Alexov E., 'Continuous Development of Schemes for Parallel Computing of the Electrostatics in Biological Systems: Implementation in DelPhi', J Comput Chem. (2013)
Li C, Li L, Zhang J, Alexov E., 'Highly efficient and exact method for parallelization of grid-based algorithms and its implementation in DelPhi.', J Comput Chem. (2012)
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