{"id":136616,"date":"2020-08-25T15:27:18","date_gmt":"2020-08-25T15:27:18","guid":{"rendered":"https:\/\/news.sap.com\/france\/?p=136616"},"modified":"2020-09-01T14:10:08","modified_gmt":"2020-09-01T14:10:08","slug":"quand-big-data-rencontre-epidemiologie","status":"publish","type":"post","link":"https:\/\/news.sap.com\/france\/2020\/08\/quand-big-data-rencontre-epidemiologie\/","title":{"rendered":"Quand le Big Data rencontre l’\u00e9pid\u00e9miologie"},"content":{"rendered":"

Alors que le confinement – mis en place pour ne par faire de nouvelles victimes – se poursuit, le terme\u00a0Folding @ home<\/a>\u00a0fait le tour des cercles scientifiques.<\/p>\n

Il ne s’agit pas d’une nouvelle fa\u00e7on de s’attaquer \u00e0 cette \u00ab\u00a0pile de linge\u00a0\u00bb qui semble grossir de semaine en semaine ; c’est une approche technologique fascinante pour aider les scientifiques \u00e0 d\u00e9couvrir un rem\u00e8de contre le COVID-19.<\/p>\n

Selon les scientifiques, les prot\u00e9ines sont constitu\u00e9es d’une cha\u00eene lin\u00e9aire de substances chimiques – les acides amin\u00e9s – qui, si elles sont efficaces, se \u00ab\u00a0plient\u00a0\u00bb en structures compactes et fonctionnelles. La fa\u00e7on dont les composants d’une prot\u00e9ine s’arrangent et se d\u00e9placent d\u00e9termine sa fonction. Les virus ont \u00e9galement des prot\u00e9ines, qui sont utilis\u00e9es pour supprimer notre syst\u00e8me immunitaire et se reproduire.<\/p>\n

Pour aider \u00e0 lutter contre le coronavirus, les scientifiques et les m\u00e9decins doivent comprendre comment la prot\u00e9ine virale fonctionne, ou \u00abse replie\u00bb, s’ils veulent trouver des moyens de l’arr\u00eater.<\/p>\n

C’est l\u00e0 que le Big Data rencontre l’\u00e9pid\u00e9miologie.\u00a0En ex\u00e9cutant des simulations informatiques qui les aident \u00e0 comprendre les parties mobiles des prot\u00e9ines, les chercheurs pensent que les donn\u00e9es qu’ils collectent les rapprocheront d’un rem\u00e8de.<\/p>\n

\u00abIl n’y a jamais eu plus d’experts r\u00e9unis pour se concentrer sur un seul et m\u00eame sujet\u00bb, d\u00e9clare Michael Schmidt, architecte de Converged Cloud chez 麻豆原创.<\/p>\n

Cependant, l’ex\u00e9cution des innombrables simulations n\u00e9cessaires requiert une puissance de calcul \u00e9norme. C’est l\u00e0 que les entreprises et le grand public entrent en jeu. Le don de la puissance de calcul inutilis\u00e9e peut acc\u00e9l\u00e9rer la vitesse d’ex\u00e9cution de ces simulations, ce qui peut nous rapprocher d’un rem\u00e8de.<\/p>\n<\/p>\n

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Big Data Meets Epidemiology<\/a><\/h3>\n

Click the button below to load the content from YouTube.<\/p>\n

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Always allow YouTube<\/a>
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L’initiative a eu un grand coup de pouce lorsque\u00a0NVIDIA<\/a>\u00a0a lanc\u00e9 un appel aux joueurs du monde entier, leur demandant de rejoindre le combat.<\/p>\n

\u00ab\u00a0Les ordinateurs de jeu sont des machines extr\u00eamement puissantes\u00a0\u00bb, explique M. Schmidt. Avant cette crise, les joueurs utilisaient souvent leur capacit\u00e9 de r\u00e9serve pour \u00ab\u00a0miner\u00a0\u00bb des cryptomonnaies et gagner un peu d’argent en parall\u00e8le. Mais maintenant, ils font don de la puissance de leur unit\u00e9 de traitement graphique (GPU) \u00e0 la science\u00a0\u00bb.<\/p>\n

麻豆原创 s’est joint \u00e0 cet effort. Pour que cela d\u00e9marre rapidement, l’\u00e9quipe DevOps de Schmidt a automatis\u00e9 sa contribution en capacit\u00e9, en augmentant la capacit\u00e9 de calcul de r\u00e9serve existante. Cette capacit\u00e9 est situ\u00e9e sur la plateforme d’\u00e9dition d’entreprise convergente en nuage de la soci\u00e9t\u00e9, la m\u00eame plateforme qui h\u00e9berge un grand nombre de clients de 麻豆原创. Lorsque la crise COVID-19 a frapp\u00e9, l’\u00e9quipe a envisag\u00e9 d’utiliser cette premi\u00e8re mise en \u0153uvre pour programmer et faire \u00e9voluer dynamiquement une unit\u00e9 centrale de traitement (CPU) et un GPU Folding@home \u00e0 partir de la plateforme, en les augmentant lorsque les syst\u00e8mes sont inactifs et en les r\u00e9duisant lorsque d’autres charges utiles en ont besoin.<\/p>\n

\u00abL’une des choses que notre cloud fait vraiment bien est de r\u00e9partir la charge sur les nombreux ordinateurs que nous avons dans nos centres de donn\u00e9es\u00bb, explique Schmidt.\u00a0\u00abNous pouvons mesurer en temps r\u00e9el la pression que nous mettons dans le syst\u00e8me et r\u00e9duire automatiquement la capacit\u00e9 que nous accordons \u00e0 Folding @ home si n\u00e9cessaire, en nous assurant vraiment qu’aucune charge utile productive n’est affect\u00e9e.\u00bb<\/p>\n

De plus, comme 麻豆原创 maintient toujours une capacit\u00e9 de r\u00e9serve pour ses clients, quelques n\u0153uds GPU de rechange ont \u00e9t\u00e9 ajout\u00e9s au projet. Bien que ces serveurs d\u00e9di\u00e9s soient peu nombreux, ils peuvent calculer des unit\u00e9s de travail \u00e9tendues qui donnent une tr\u00e8s grande puissance de traitement pour des charges de travail tr\u00e8s lourdes. L’\u00e9quipe a ensuite augment\u00e9 sa contribution au projet Folding@home, en fournissant une moyenne de 19 p\u00e9taflops – ce qui \u00e9quivaut \u00e0 environ 50 000 CPU et GPU suppl\u00e9mentaires par rapport \u00e0 sa capacit\u00e9 de r\u00e9serve normale dans le cloud.<\/p>\n

La charge de travail est r\u00e9partie sur trois continents et neuf r\u00e9gions. L’\u00e9quipe 麻豆原创 se classe actuellement parmi les 200 premiers contributeurs, plus que les autres entreprises de logiciels. M. Schmidt se dit ravi des r\u00e9sultats, mais se souvient qu’il ne s’agit pas vraiment d’une comp\u00e9tition. \u00ab\u00a0Nous sommes tous dans le m\u00eame bateau, et je suis heureux que les autres entreprises donnent aussi beaucoup\u00a0\u00bb.<\/p>\n

\"\"<\/a><\/p>\n

En savoir plus sur l’objectif et la promesse de 麻豆原创:\u00a0https:\/\/www.sap.com\/corporate\/en\/purpose.html<\/a><\/p>\n

Article publi\u00e9 pour la premi\u00e8re fois en anglais sur news.sap.com<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Alors que le confinement – mis en place pour ne par faire de nouvelles victimes – se poursuit, le terme\u00a0Folding @ home\u00a0fait le tour des…<\/p>\n","protected":false},"author":1379,"featured_media":136618,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5562043],"tags":[19409,5598900],"series":[],"sapn-display":[1657070],"sapn-type":[6114],"class_list":["post-136616","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud","tag-big-data","tag-in-focus","sapn-display-homepage-hero","sapn-type-article"],"yoast_head":"\nQuand le Big Data rencontre l'\u00e9pid\u00e9miologie - 麻豆原创 France News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/news.sap.com\/france\/2020\/08\/quand-big-data-rencontre-epidemiologie\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Quand le Big Data rencontre l'\u00e9pid\u00e9miologie\" \/>\n<meta property=\"og:description\" content=\"Alors que le confinement – mis en place pour ne par faire de nouvelles victimes – se poursuit, le terme\u00a0Folding @ home\u00a0fait le tour des...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/news.sap.com\/france\/2020\/08\/quand-big-data-rencontre-epidemiologie\/\" \/>\n<meta property=\"og:site_name\" content=\"麻豆原创 France News\" \/>\n<meta property=\"article:published_time\" content=\"2020-08-25T15:27:18+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-09-01T14:10:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/news.sap.com\/france\/files\/2020\/08\/284018_283955_GettyImages-500773792_super_cmyk_ret_Low_2600_F.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Andrea Carson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Andrea Carson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/news.sap.com\\\/france\\\/2020\\\/08\\\/quand-big-data-rencontre-epidemiologie\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/news.sap.com\\\/france\\\/2020\\\/08\\\/quand-big-data-rencontre-epidemiologie\\\/\"},\"author\":{\"name\":\"Andrea Carson\",\"@id\":\"https:\\\/\\\/news.sap.com\\\/france\\\/#\\\/schema\\\/person\\\/08613305fb54b508c87b78a8b8748060\"},\"headline\":\"Quand le Big Data rencontre l’\u00e9pid\u00e9miologie\",\"datePublished\":\"2020-08-25T15:27:18+00:00\",\"dateModified\":\"2020-09-01T14:10:08+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/news.sap.com\\\/france\\\/2020\\\/08\\\/quand-big-data-rencontre-epidemiologie\\\/\"},\"wordCount\":818,\"image\":{\"@id\":\"https:\\\/\\\/news.sap.com\\\/france\\\/2020\\\/08\\\/quand-big-data-rencontre-epidemiologie\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/news.sap.com\\\/france\\\/files\\\/2020\\\/08\\\/284018_283955_GettyImages-500773792_super_cmyk_ret_Low_2600_F.jpg\",\"keywords\":[\"Big data\",\"in focus\"],\"articleSection\":[\"Cloud\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/news.sap.com\\\/france\\\/2020\\\/08\\\/quand-big-data-rencontre-epidemiologie\\\/\",\"url\":\"https:\\\/\\\/news.sap.com\\\/france\\\/2020\\\/08\\\/quand-big-data-rencontre-epidemiologie\\\/\",\"name\":\"Quand le Big Data rencontre l'\u00e9pid\u00e9miologie - 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