{"id":80,"date":"2024-07-01T17:16:29","date_gmt":"2024-07-01T15:16:29","guid":{"rendered":"https:\/\/project.inria.fr\/holigrail\/?page_id=80"},"modified":"2024-07-01T17:17:49","modified_gmt":"2024-07-01T15:17:49","slug":"partners","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/holigrail\/partners\/","title":{"rendered":"Partners"},"content":{"rendered":"<p>The teams \/ labs (and their representatives) involved in the HOLIGRAIL consortium are:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Univ. Rennes, IRISA, Inria Taran<\/strong> &#8211; <em>Olivier Sentieys (coordinator), Silviu Filip<\/em><ul><li>computer arithmetic including number representations, computer architecture especially, hardware acceleration, design space exploration, architecture optimization, and deep neural network compression including quantization error evaluation, and low-precision training.<\/li><\/ul><\/li><li><strong>CEA\u00a0List\/LIAE, Universit\u00e9 Paris Saclay<\/strong> &#8211; <em>Olivier\u00a0Bichler\u00a0<\/em><ul><li>quantization-aware training and coding theory in deep neural networks and their link with technologies (non-volatile memory, in-memory computing) and software\/hardware implementation (N2D2 framework).\u00a0<\/li><\/ul><\/li><li><strong>Inria\u00a0Corse<strong>, Universit\u00e9 Grenoble Alpes<\/strong><\/strong> &#8211; <em>Fabrice\u00a0Rastello,\u00a0Christophe\u00a0Guillon<\/em><ul><li>compiler optimization, data-movement, pattern-specific analysis and optimization.\u00a0\u00a0<\/li><\/ul><\/li><li><strong>Grenble-INP, TIMA\/SLS, Universit\u00e9 Grenoble Alpes<\/strong> &#8211; <em>Adrien Prost-Boucle, Olivier Muller<\/em><ul><li>number representation, hardware acceleration, hardware support for quantization, memory accesses, and throughput-friendly compression.\u00a0\u00a0<\/li><\/ul><\/li><li><strong>INSA Lyon, CITI, Inria Emeraude<\/strong> &#8211; <em>Florent De\u00a0Dinechin, Anastasia\u00a0Volkova<\/em><ul><li>computer arithmetic, operator optimization and fusion, and high-level synthesis.\u00a0\u00a0<\/li><\/ul><\/li><li><strong>CEA\u00a0List\/LVML, Universit\u00e9 Paris Saclay<\/strong> &#8211; <em>Mohamed\u00a0Tamaazousti<\/em><ul><li>tensor methods, distillation techniques for neural network compression, deep learning representations.\u00a0<\/li><\/ul><\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><a href=\"https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners-1024x712.png\" alt=\"\" class=\"wp-image-82\" width=\"727\" height=\"505\" srcset=\"https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners-1024x712.png 1024w, https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners-300x209.png 300w, https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners-768x534.png 768w, https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners-1536x1069.png 1536w, https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners-150x104.png 150w, https:\/\/project.inria.fr\/holigrail\/files\/2024\/07\/partners.png 1870w\" sizes=\"auto, (max-width: 727px) 100vw, 727px\" \/><\/a><\/figure>","protected":false},"excerpt":{"rendered":"<p>The teams \/ labs (and their representatives) involved in the HOLIGRAIL consortium are: Univ. Rennes, IRISA, Inria Taran &#8211; Olivier Sentieys (coordinator), Silviu Filip computer arithmetic including number representations, computer architecture especially, hardware acceleration, design space exploration, architecture optimization, and deep neural network compression including quantization error evaluation, and low-precision\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/holigrail\/partners\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":797,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-80","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/pages\/80","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/users\/797"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/comments?post=80"}],"version-history":[{"count":2,"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/pages\/80\/revisions"}],"predecessor-version":[{"id":84,"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/pages\/80\/revisions\/84"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/holigrail\/wp-json\/wp\/v2\/media?parent=80"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}