{"id":13266,"date":"2014-12-22T21:57:09","date_gmt":"2014-12-22T19:57:09","guid":{"rendered":"http:\/\/hgpu.org\/?p=13266"},"modified":"2014-12-22T21:57:09","modified_gmt":"2014-12-22T19:57:09","slug":"pyfai-a-python-library-for-high-performance-azimuthal-integration-on-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=13266","title":{"rendered":"PyFAI: a Python library for high performance azimuthal integration on GPU"},"content":{"rendered":"<p>The pyFAI package has been designed to reduce X-ray diffraction images into powder diffraction curves to be further processed by scientists. This contribution describes how to convert an image into a radial profile using the Numpy package, how the process was accelerated using Cython. The algorithm was parallelised, needing a complete re-design to benefit from massively parallel devices like graphical processing units or accelerators like the Intel Xeon Phi using the PyOpenCL library.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The pyFAI package has been designed to reduce X-ray diffraction images into powder diffraction curves to be further processed by scientists. This contribution describes how to convert an image into a radial profile using the Numpy package, how the process was accelerated using Cython. The algorithm was parallelised, needing a complete re-design to benefit from [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[96,90,3],"tags":[1794,7,1281,97,1483,20,1634,1793,176,980,513,1390],"class_list":["post-13266","post","type-post","status-publish","format-standard","hentry","category-astrophysics","category-opencl","category-paper","tag-astrophysics","tag-ati","tag-ati-firepro-v7800","tag-instrumentation-and-methods-for-astrophysics","tag-intel-xeon-phi","tag-nvidia","tag-nvidia-geforce-gtx-750-ti","tag-opencl","tag-package","tag-pyopencl","tag-python","tag-tesla-k20"],"views":2824,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13266","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=13266"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13266\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13266"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13266"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13266"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}