{"id":295,"date":"2025-10-22T06:35:09","date_gmt":"2025-10-22T06:35:09","guid":{"rendered":"https:\/\/hpcncc.vilniustech.lt\/?page_id=295"},"modified":"2025-10-22T06:35:09","modified_gmt":"2025-10-22T06:35:09","slug":"superkompiuteriu-ekosistemos-big-data-mapreduce-spark-ir-hpc-ai-pytorch","status":"publish","type":"page","link":"https:\/\/hpcncc.vilniustech.lt\/?page_id=295","title":{"rendered":"Superkompiuteri\u0173 ekosistemos: Big Data (MapReduce\/Spark) ir HPC AI (PyTorch)"},"content":{"rendered":"\n<p>Gerbiami akademin\u0117s bendruomen\u0117s atstovai,<br>Kvie\u010diame Jus \u012f mokymus \u201eSuperkompiuteri\u0173 ekosistemos: Big Data (MapReduce\/Spark) ir HPC AI (PyTorch)\u201c. Mokymai yra dalis EuroCC 2 projekto \u2013 iniciatyvos, kurios tikslas yra pad\u0117ti \u012fmon\u0117ms ir akademin\u0117ms institucijoms \u012fgyvendinti naujausias technologines tendencijas ir inovacijas.&nbsp;<br><strong>Registracija (12:00-12:15)&nbsp;<\/strong><br><strong><br><\/strong><strong>1 dalis (12:15-13:45): Didieji duomenys: s\u0105vokos, savyb\u0117s ir pagrindiniai sprendimai.&nbsp;<\/strong>\u0160ioje dalyje klausytojai susipa\u017eins su did\u017ei\u0173j\u0173 duomen\u0173 (angl. Big Data) samprata,&nbsp;pagrindin\u0117mis savyb\u0117mis (3V ir daugiau), istoriniu kontekstu bei bazin\u0117mis paskirstyt\u0173j\u0173 sistem\u0173 ir programavimo modeli\u0173 (MapReduce, DAG ir kt.) id\u0117jomis. Taip pat aptarsime NoSQL, SQL-like sprendimus. Bus pristatytas MapReduce programavimo modelis &#8211; pagrindiniai principai ir pavyzd\u017eiai.&nbsp;<\/p>\n\n\n\n<p><strong>Kavos pertrauk\u0117l\u0117 (13:45-14:15).&nbsp;Laisvoji diskusija.<\/strong><\/p>\n\n\n\n<p><strong>2 dalis (14:15-15:45):&nbsp;Did\u017ei\u0173j\u0173 duomen\u0173 ir auk\u0161to na\u0161umo skai\u010diavim\u0173 technologij\u0173 taikymas.&nbsp;<\/strong>Did\u017ei\u0173j\u0173 duomen\u0173 technologijos prie\u0161 auk\u0161to na\u0161umo skai\u010diavim\u0173 technologijas &#8211; aptarsime naujausias tendencijas, \u0161i\u0173 dviej\u0173 kryp\u010di\u0173 skirtumus, bendrumus ir galim\u0105 sujungim\u0105. Su\u017einosite, kaip taikyti Apache Spark ir jau min\u0117t\u0105 MapReduce model\u012f duomen\u0173 apdorojimui ir analizei, pasitelkiant Google Colab praktiniams u\u017esi\u0117mimams. Kartu sukursime ir \u012fvykdysime paskirstyt\u0173 skai\u010diavim\u0173 pavyzd\u017eius, kurie parodys Spark lygiagre\u010di\u0173j\u0173 u\u017eduo\u010di\u0173 realizavimo principus. Taip pat pasidalinsime patirtimi dirbant su auk\u0161to na\u0161umo superkompiuteriu Leonardo naudojant dirbtinio intelekto bibliotek\u0105 PyTorch.&nbsp;<\/p>\n\n\n\n<p>Praktin\u0117je dalyje reikia tur\u0117ti ne\u0161iojam\u0105 kompiuter\u012f su internetiniu ry\u0161iu.\u00a0<strong><br><\/strong><br><a href=\"https:\/\/forms.cloud.microsoft\/e\/705dyfPspp\"><strong>Registracija b\u016btina<\/strong>.\u00a0<\/a><\/p>\n\n\n\n<p>Laukiame J\u016bs\u0173!&nbsp;<\/p>\n\n\n\n<p>Renginio vieta:&nbsp;<strong>Vilniaus Gedimino technikos<\/strong><strong>universitetas<\/strong>, S2(SRA-I) A09, Saul\u0117tekio al. 11, Vilnius.&nbsp;<\/p>\n\n\n\n<p>Renginio laikas:&nbsp;<strong>Lapkri\u010dio 25 d, 12:00-15:45.<\/strong><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Gerbiami akademin\u0117s bendruomen\u0117s atstovai,Kvie\u010diame Jus \u012f mokymus \u201eSuperkompiuteri\u0173 ekosistemos: Big Data (MapReduce\/Spark) ir HPC AI (PyTorch)\u201c. Mokymai yra dalis EuroCC 2 projekto \u2013 iniciatyvos, kurios tikslas yra pad\u0117ti \u012fmon\u0117ms ir akademin\u0117ms institucijoms \u012fgyvendinti naujausias technologines tendencijas ir inovacijas.&nbsp;Registracija (12:00-12:15)&nbsp;1 dalis (12:15-13:45): Didieji duomenys: s\u0105vokos, savyb\u0117s ir pagrindiniai sprendimai.&nbsp;\u0160ioje dalyje klausytojai susipa\u017eins su did\u017ei\u0173j\u0173 duomen\u0173 (angl. &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/hpcncc.vilniustech.lt\/?page_id=295\"> <span class=\"screen-reader-text\">Superkompiuteri\u0173 ekosistemos: Big Data (MapReduce\/Spark) ir HPC AI (PyTorch)<\/span> Skaityti daugiau &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-295","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages\/295","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=295"}],"version-history":[{"count":2,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages\/295\/revisions"}],"predecessor-version":[{"id":297,"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=\/wp\/v2\/pages\/295\/revisions\/297"}],"wp:attachment":[{"href":"https:\/\/hpcncc.vilniustech.lt\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=295"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}