Modules avx512: Difference between revisions

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| 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://github.com/NVIDIA/gdrcopy gdrcopy]
| align="center" | [https://github.com/NVIDIA/gdrcopy gdrcopy]
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| align="center" | 2.1, 2.3, 2.3.1
| align="center" | 2.1, 2.3.1
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: A low-latency GPU memory copy library based on NVIDIA GPUDirect RDMA technology. Homepage: https://github.com/NVIDIA/gdrcopy URL: https://github.com/NVIDIA/gdrcopy<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: A low-latency GPU memory copy library based on NVIDIA GPUDirect RDMA technology. Homepage: https://github.com/NVIDIA/gdrcopy URL: https://github.com/NVIDIA/gdrcopy<br /><br /><br /></div>
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| 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<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 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>
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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" | [https://sourceforge.net/projects/matio/ matio]
| align="center" | [https://sourceforge.net/projects/matio/ matio]
| align="center" | io
| align="center" | io
| align="center" | 1.5.19, 1.5.26
| align="center" | 1.5.2, 1.5.19, 1.5.26
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: matio is an C library for reading and writing Matlab MAT files. Homepage: https://sourceforge.net/projects/matio/ URL: https://sourceforge.net/projects/matio/ Keyword:io<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: matio is an C library for reading and writing Matlab MAT files. Homepage: https://sourceforge.net/projects/matio/ URL: https://sourceforge.net/projects/matio/ Keyword:io<br /><br /><br /></div>
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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 URL: 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 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" | [https://repast.github.io/ repasthpc]
| align="center" | [https://repast.github.io/ repasthpc]
| align="center" | bio
| align="center" | bio
| align="center" | 2.0, 2.2.0, 2.3.0
| align="center" | 2.2.0, 2.3.0
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 15 years: Repast for High Performance Computing 2.2.0, released on 30 September 2016, is a lean and expert-focused C++-based modeling system that is designed for use on large computing clusters and supercomputers. Homepage: https://repast.github.io/ URL: https://repast.github.io/ Keyword:bio<br /><br /><br /></div>
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 15 years: Repast for High Performance Computing 2.2.0, released on 30 September 2016, is a lean and expert-focused C++-based modeling system that is designed for use on large computing clusters and supercomputers. Homepage: https://repast.github.io/ URL: https://repast.github.io/ Keyword:bio<br /><br /><br /></div>
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| 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]

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