Modules avx512: Difference between revisions

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| align="center" | [https://arrow.apache.org arrow]
| align="center" | [https://arrow.apache.org arrow]
| align="center" | tools
| align="center" | tools
| align="center" | 0.11.1, 0.15.1, 0.16.0, 0.17.1, 2.0.0, 4.0.0, 5.0.0, 7.0.0, 8.0.0, 9.0.0, 10.0.1, 11.0.0, 12.0.1, 13.0.0, 14.0.0, 14.0.1, 15.0.1, 16.1.0
| align="center" | 0.11.1, 0.15.1, 0.16.0, 0.17.1, 2.0.0, 5.0.0, 7.0.0, 8.0.0, 9.0.0, 10.0.1, 11.0.0, 12.0.1, 13.0.0, 14.0.0, 14.0.1, 15.0.1, 16.1.0
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Apache Arrow is a cross-language development platform for in-memory data. Homepage: https://arrow.apache.org URL: https://arrow.apache.org Compatible modules: python/3.11, python/3.10 Keyword:tools<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Apache Arrow is a cross-language development platform for in-memory data. Homepage: https://arrow.apache.org URL: https://arrow.apache.org Compatible modules: python/3.11, python/3.10 Keyword:tools<br /><br /><br /></div>
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| align="center" | -
| align="center" | -
| align="center" | 1.03
| align="center" | 1.03
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: bgc implements Bayesian estimation of genomic clines to quantify introgression at many loci. Models are available for linked loci, genotype uncertainty and sequence errors. Models for genotype uncertainty and sequence error can be used to estimate genomic cline parameters from next-generation sequence data. Homepage: https://sites.google.com/site/bgcsoftware/<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: bgc implements Bayesian estimation of genomic clines to quantify introgression at many loci. Models are available for linked loci, genotype uncertainty and sequence errors. Models for genotype uncertainty and sequence error can be used to estimate genomic cline parameters from next-generation sequence data. Homepage: https://sites.google.com/site/bgcsoftware/ URL: https://sites.google.com/site/bgcsoftware/<br /><br /><br /></div>
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| align="center" | [https://bitbucket.org/gavinband/bgen/src/default/ bgen]
| align="center" | [https://bitbucket.org/gavinband/bgen/src/default/ bgen]
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| align="center" | [https://www.comsol.com comsol]
| align="center" | [https://www.comsol.com comsol]
| align="center" | phys
| align="center" | phys
| align="center" | 5.3a, 5.4, 5.5, 5.6, 6.0.0.405, 6.1, 6.1.0.357, 6.2, 6.2.0.415
| align="center" | 5.3a, 5.4, 5.5, 5.6, 6.0.0.405, 6.1, 6.1.0.357, 6.2.0.415
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: COMSOL Multiphysics is a general-purpose software platform, based on advanced numerical methods, for modeling and simulating physics-based problems. Homepage: https://www.comsol.com URL: https://www.comsol.com Keyword:phys<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: COMSOL Multiphysics is a general-purpose software platform, based on advanced numerical methods, for modeling and simulating physics-based problems. Homepage: https://www.comsol.com URL: https://www.comsol.com Keyword:phys<br /><br /><br /></div>
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| align="center" | -
| align="center" | -
| align="center" | 3.3.2, 3.3.8
| align="center" | 3.3.2, 3.3.8
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: GLFW is an Open Source, multi-platform library for OpenGL, OpenGL ES and Vulkan development on the desktop Homepage: https://www.glfw.org URL: https://www.glfw.org Compatible modules: python/3.10, python/3.10, python/3.10, python/3.10, python/3.11, python/3.11, python/3.11, python/3.11 Extensions: glfw-2.6.2<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: GLFW is an Open Source, multi-platform library for OpenGL, OpenGL ES and Vulkan development on the desktop Homepage: https://www.glfw.org URL: https://www.glfw.org<br /><br /><br /></div>
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| align="center" | [https://ccb.jhu.edu/software/glimmerhmm glimmerhmm]
| align="center" | [https://ccb.jhu.edu/software/glimmerhmm glimmerhmm]
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| align="center" | tools
| align="center" | tools
| align="center" | 0.3.1
| align="center" | 0.3.1
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: This is GLOST, the Greedy Launcher Of Small Tasks. Homepage: https://github.com/cea-hpc/glost URL: https://github.com/cea-hpc/glost Keyword:tools<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: This is GLOST, the Greedy Launcher Of Small Tasks. Homepage: https://github.com/cea-hpc/glost Keyword:tools<br /><br /><br /></div>
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| align="center" | [https://www.gnu.org/software/glpk/ glpk]
| align="center" | [https://www.gnu.org/software/glpk/ glpk]
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| align="center" | math
| align="center" | math
| align="center" | 4.0.3, 5.1.0
| align="center" | 4.0.3, 5.1.0
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview URL: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview Keyword:math<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: METIS is a set of serial programs for partitioning graphs, partitioning finite element meshes, and producing fill reducing orderings for sparse matrices. The algorithms implemented in METIS are based on the multilevel recursive-bisection, multilevel k-way, and multi-constraint partitioning schemes. Homepage: http://glaros.dtc.umn.edu/gkhome/metis/metis/overview Keyword:math<br /><br /><br /></div>
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| align="center" | [http://glaros.dtc.umn.edu/gkhome/metis/metis/overview metis-64idx]
| align="center" | [http://glaros.dtc.umn.edu/gkhome/metis/metis/overview metis-64idx]
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| align="center" | geo
| align="center" | geo
| align="center" | 1.0
| align="center" | 1.0
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: proj4-fortran is a f77 and f90 wrappers for proj4, a cartograohic projections library. Homepage: https://github.com/mhagdorn/proj4-fortran URL: https://github.com/mhagdorn/proj4-fortran Keyword:geo<br /><br /><br /></div>
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| align="center" | [https://www.vicbioinformatics.com/software.prokka.shtml prokka]
| align="center" | [https://www.vicbioinformatics.com/software.prokka.shtml prokka]
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| align="center" | -
| align="center" | -
| align="center" | 6.0.1.5, 8.6.1.6
| align="center" | 6.0.1.5, 8.6.1.6
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.10, python/3.11<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: NVIDIA TensorRT is a platform for high-performance deep learning inference Homepage: https://developer.nvidia.com/tensorrt URL: https://developer.nvidia.com/tensorrt Compatible modules: python/3.8, python/3.9, python/3.10, python/3.11<br /><br /><br /></div>
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| align="center" | [https://github.com/tesseract-ocr/tesseract tesseract]
| align="center" | [https://github.com/tesseract-ocr/tesseract tesseract]