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Modules avx512: Difference between revisions
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| align="center" | [http://afni.nimh.nih.gov/ afni] | | align="center" | [http://afni.nimh.nih.gov/ afni] | ||
| align="center" | bio | | align="center" | bio | ||
| align="center" | 20.3.05, 21.2.10, 22.1.12, 23.1.00, 20180404 | | align="center" | 20.3.05, 21.2.10, 22.1.12, 23.1.00, 23.1.08, 20180404 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: AFNI is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity. Homepage: http://afni.nimh.nih.gov/ URL: http://afni.nimh.nih.gov/ Keyword:bio<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: AFNI is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - a technique for mapping human brain activity. Homepage: http://afni.nimh.nih.gov/ URL: http://afni.nimh.nih.gov/ Keyword:bio<br /><br /><br /></div> | ||
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| align="center" | [https://developer.nvidia.com/cudnn cudnn] | | align="center" | [https://developer.nvidia.com/cudnn cudnn] | ||
| align="center" | math | | align="center" | math | ||
| align="center" | 7.4, 7.5, 7.6, 7.6.5, 8.0.3, 8.2.0, 8.6.0.163 | | align="center" | 7.4, 7.5, 7.6, 7.6.5, 8.0.3, 8.2.0, 8.6.0.163, 8.7.0.84 | ||
| <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. Homepage: https://developer.nvidia.com/cudnn URL: https://developer.nvidia.com/cudnn Keyword:math<br /><br /><br /></div> | | <div class="mw-collapsible mw-collapsed" style="white-space: pre-line;"><br />Description: The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. Homepage: https://developer.nvidia.com/cudnn URL: https://developer.nvidia.com/cudnn Keyword:math<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" | [https://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 | | <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: https://ccb.jhu.edu/software/stringtie/ URL: https://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] | ||
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| align="center" | [https://developer.nvidia.com/tensorrt tensorrt] | | align="center" | [https://developer.nvidia.com/tensorrt tensorrt] | ||
| align="center" | - | | align="center" | - | ||
| align="center" | 6.0.1.5 | | 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. | | <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] | ||