{"id":696,"date":"2023-12-28T15:41:43","date_gmt":"2023-12-28T15:41:43","guid":{"rendered":"https:\/\/web.infn.it\/TechTransfer\/?post_type=portfolio_page&p=696"},"modified":"2024-07-11T13:50:52","modified_gmt":"2024-07-11T13:50:52","slug":"open-forbc","status":"publish","type":"portfolio_page","link":"https:\/\/web.infn.it\/TechTransfer\/portfolio_page\/open-forbc\/","title":{"rendered":"OPEN FORBC"},"content":{"rendered":"

[vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column][vc_raw_html]JTVCd3BzZW9fYnJlYWRjcnVtYiU1RA==[\/vc_raw_html][vc_empty_space][vc_column_text]<\/p>\n

OPEN FORBC
\n<\/span><\/h1>\n

[\/vc_column_text][vc_empty_space][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner width=”2\/3″][vc_column_text]<\/p>\n

OPEN source FOR Better Computing<\/h2>\n

[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/3″][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”grid” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern” z_index=””][vc_column width=”2\/3″][vc_empty_space][vc_column_text]Il progetto vuole sviluppare una tecnologia open source in ambiente Linux per il partizionamento delle GPU.<\/p>\n

Abilitare queste tecnologie in ambiente Linux KVM appianerebbe una delle pi\u00f9 importanti differenze che ancora giocano a discapito della sua adozione in contesti professionali e scientifici che necessitano di potenza di calcolo grafica. Questa soluzione si rivolge sia a applicazioni di calcolo su GPU, sia ad applicazioni di VDI (Virtual Desktop Infrastructure). Per entrambi, la motivazione di questa spinta, fulcro del progetto, \u00e8 poter migliorare le soluzioni attualmente adottate per massimizzarne l\u2019efficacia, economica ed energetica.[\/vc_column_text][vc_empty_space][vc_single_image image=”2123″ img_size=”full” qode_css_animation=””][vc_empty_space][vc_column_text]Dal punto di vista del calcolo, molto spesso, i software per GPU richiedono un enorme lavoro per riuscire ad utilizzare pienamente l\u2019hardware a disposizione, il che si traduce in ingenti investimenti per lo sviluppo e l\u2019ottimizzazione degli algoritmi, per permetterne la scalabilit\u00e0. Questi sviluppi richiedono alta specificit\u00e0 degli algoritmi che portano spesso ad una perdita di portabilit\u00e0 del software. Tuttavia, se questo obiettivo non viene perseguito, la GPU viene utilizzata solo in parte, sprecando una frazione importante delle prestazioni di picco e dell\u2019investimento iniziale. La possibilit\u00e0 di partizionare una GPU, tramite definizione software, permette di superare questo limite, consentendo di usare software meno ottimizzati eseguendone pi\u00f9 istanze in maniera parallela. Con questo approccio ci aspettiamo di osservare una migliore saturazione della potenza delle GPU, il che si traduce in maggiore efficienza energetica dell\u2019hardware e maggiore compatibilit\u00e0.<\/p>\n

Lo stesso approccio \u00e8 mutabile per la virtualizzazione di macchine di front-end, cio\u00e8 quelle la cui operazione avviene tramite interazione schermo-tastiera-mouse. In questo ambito la frontiera offerta da questo progetto \u00e8 la possibilit\u00e0 di incrementare il numero di utenti per server e il conseguente miglioramento delle prestazioni energetiche ed economiche.<\/p>\n

Questa soluzione pu\u00f2 essere adottata come front-end per un cluster HPC (High Performance Computing), permettendo agli utenti di appoggiarsi ad una sessione remota dotata di accelerazione grafica per la visualizzazione dei risultati dei calcoli eseguiti dal cluster.[\/vc_column_text][vc_empty_space][\/vc_column][vc_column width=”1\/4″ css=”.vc_custom_1703772967700{margin-bottom: 50px !important;background-color: #042d4c !important;}” el_class=”column_details_portfolio”][vc_column_text]<\/p>\n

INFO<\/span><\/h4>\n

[\/vc_column_text][vc_empty_space][vc_column_text css=”.vc_custom_1703778003504{background-color: #042d4c !important;}”]<\/p>\n

RESPONSABILE PROGETTO<\/strong><\/h5>\n

Federica Legger<\/p>\n

[\/vc_column_text][vc_empty_space height=”21px”][vc_column_text css=”.vc_custom_1703778014306{background-color: #042d4c !important;}”]<\/p>\n

ANNO<\/strong><\/h5>\n

2021<\/span><\/strong>[\/vc_column_text][vc_empty_space height=”21px”][vc_column_text css=”.vc_custom_1720705834738{background-color: #042d4c !important;}”]<\/p>\n

STRUTTURE COINVOLTE<\/strong><\/h5>\n
Sezione di Torino<\/a><\/strong><\/span><\/span><\/h5>\n

[\/vc_column_text][vc_empty_space height=”21px”][vc_column_text css=”.vc_custom_1714313149280{background-color: #042d4c !important;}”]<\/p>\n

SETTORI TECNOLOGICI<\/strong><\/h5>\n

Sistemi di elaborazione dati e workflow<\/span><\/strong>[\/vc_column_text][vc_empty_space height=”21px”][vc_row_inner row_type=”row” type=”full_width” text_align=”left” css_animation=””][vc_column_inner el_class=”riga_spazio_progetti”][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=”21px”][vc_column_text css=”.vc_custom_1720705848230{background-color: #042d4c !important;}”]<\/p>\n

CONTATTI<\/strong><\/h5>\n

Per maggiori informazioni sul progetto, <\/span>SCRIVICI<\/span><\/strong><\/span><\/a>[\/vc_column_text][vc_empty_space height=”21px”][\/vc_column][\/vc_row][vc_row css_animation=”” row_type=”row” use_row_as_full_screen_section=”no” type=”full_width” angled_section=”no” text_align=”left” background_image_as_pattern=”without_pattern”][vc_column][vc_empty_space height=”51px”][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

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