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| abstract:darwin:app_dev:prog_env [2021-04-27 16:29] – [Programming models] anita | abstract:darwin:app_dev:prog_env [2022-08-30 10:11] (current) – [Introduction] anita |
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| ===== Compiling code ===== | ===== Compiling code ===== |
| <note important> | <note important> |
| Fortran, C, C++, Java and Matlab programs should be compiled on the login node, however if lengthy compiles are required or you want to schedule a job for compilation, you must use the ''devel'' partition with ''salloc'' or ''sbatch'' to make sure you are allocated a compute node with the development tools, libraries, etc. which are needed for compilers. **//All resulting executables should only be run on the compute nodes.//** | Fortran, C, C++, Java and Matlab programs should be compiled on the login node, however if lengthy compiles or extensive resources needed, you may need to schedule a job for compilation using ''salloc'' or ''sbatch'' which will be [[abstract:darwin:runjobs:accounting|billed]] to your allocation. **//All resulting executables should only be run on the compute nodes.//** |
| </note> | </note> |
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| == Commercial libraries == | == Commercial libraries == |
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| * [[http://developer.amd.com/libraries/acml/pages/default.aspx|ACML]]: AMD's Core Math Library (See [[http://developer.amd.com/libraries/acml/onlinehelp/Documents/BestLibrary.html#BestLibrary|AMD's guide on library selection]].) | * [[https://developer.amd.com/amd-aocl/|AOCL]]: AMD Optimizing CPU Libraries (See [[https://developer.amd.com/wp-content/resources/57404_User_Guide_AMD_AOCL_v3.2_GA.pdf|AMD's AOCL User Guide]].) AOCL is the successor to ACML. |
| * [[http://www.roguewave.com/products/imsl|IMSL]]: RogueWave's mathematical and statistical libraries | * [[http://www.roguewave.com/products/imsl|IMSL]]: RogueWave's mathematical and statistical libraries |
| * [[http://software.intel.com/en-us/articles/intel-mkl/?utm_source=google&utm_medium=cpc&utm_term=intel_mkl&utm_content=dpd_us_hpc_mkl& utm_campaign=DIV_US_DPD_%28S%29|MKL]]: Intel's Math Kernel Library | * [[http://software.intel.com/en-us/articles/intel-mkl/?utm_source=google&utm_medium=cpc&utm_term=intel_mkl&utm_content=dpd_us_hpc_mkl& utm_campaign=DIV_US_DPD_%28S%29|MKL]]: Intel's Math Kernel Library |