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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 | | align="center" | 0.11.1, 0.15.1, 0.16.0, 0.17.1, 1.0.0, 2.0.0, 4.0.0, 5.0.0, 7.0.0, 8.0.0, 9.0.0, 10.0.1, 11.0.0 | ||
| <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/3.6.3, python/3.7.4, python/3.8.0 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/3.6.3, python/3.7.4, python/3.8.0 Keyword:tools<br /><br /><br /></div> | ||
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| align="center" | [https://developer.nvidia.com/cuda-toolkit cuda] | | align="center" | [https://developer.nvidia.com/cuda-toolkit cuda] | ||
| align="center" | tools | | align="center" | tools | ||
| align="center" | 7.5.18, 9.2.148, 10.0.130, 10.1, 10.2, 11.0, 11.1.1, 11.2.2, 11.4, 11.7 | | align="center" | 7.5.18, 9.2.148, 10.0.130, 10.1, 10.2, 11.0, 11.1.1, 11.2.2, 11.4, 11.7, 11.8.0 | ||
| Documentation: [[CUDA]]<div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs. Homepage: https://developer.nvidia.com/cuda-toolkit URL: https://developer.nvidia.com/cuda-toolkit Keyword:tools<br /><br /><br /></div> | | Documentation: [[CUDA]]<div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: CUDA (formerly Compute Unified Device Architecture) is a parallel computing platform and programming model created by NVIDIA and implemented by the graphics processing units (GPUs) that they produce. CUDA gives developers access to the virtual instruction set and memory of the parallel computational elements in CUDA GPUs. Homepage: https://developer.nvidia.com/cuda-toolkit URL: https://developer.nvidia.com/cuda-toolkit Keyword:tools<br /><br /><br /></div> | ||
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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" | | | 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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| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation in small cohorts and somatic variation in tumor/normal sample pairs. Homepage: https://github.com/Illumina/strelka URL: https://github.com/Illumina/strelka<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: Strelka2 is a fast and accurate small variant caller optimized for analysis of germline variation in small cohorts and somatic variation in tumor/normal sample pairs. Homepage: https://github.com/Illumina/strelka URL: https://github.com/Illumina/strelka<br /><br /><br /></div> | ||
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| align="center" | [ | | align="center" | [http://ccb.jhu.edu/software/stringtie/ stringtie] | ||
| align="center" | bio | | align="center" | bio | ||
| align="center" | 1.3.4d, 2.0, 2.1.0, 2.1.3, 2.1.5 | | align="center" | 1.3.4d, 2.0, 2.1.0, 2.1.3, 2.1.5 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: StringTie is a fast and highly efficient assembler of RNA-Seq alignments into potential transcripts Homepage: | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: StringTie is a fast and highly efficient assembler of RNA-Seq alignments into potential transcripts. Homepage: http://ccb.jhu.edu/software/stringtie/ URL: http://ccb.jhu.edu/software/stringtie/ Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | [http://web.stanford.edu/group/pritchardlab/software/ structure] | | align="center" | [http://web.stanford.edu/group/pritchardlab/software/ structure] | ||