{"id":1425,"date":"2025-09-14T17:42:40","date_gmt":"2025-09-14T17:42:40","guid":{"rendered":"https:\/\/ascnet.ie\/HPC_Research\/?page_id=1425"},"modified":"2025-09-15T15:40:36","modified_gmt":"2025-09-15T15:40:36","slug":"overview","status":"publish","type":"page","link":"https:\/\/ascnet.ie\/HPC_Research\/overview\/","title":{"rendered":"HPC Services Overview"},"content":{"rendered":"\n<body class=\"content-hidden\">\n    <header class=\"tu-header\">\n        <h1>HPC Services Overview<\/h1>\n        <div class=\"last-update\">Last Update: <span id=\"last-update\">Loading&#8230;<\/span><\/div>\n    <\/header>\n    \n    <main class=\"dashboard-container\">\n        <div class=\"internal-nav\">\n            <a href=\"\/HPC_Research\/overview\" class=\"nav-item active\">Overview<\/a>\n            <a href=\"\/HPC_Research\/access-guide\" class=\"nav-item\">Access Guide<\/a>\n            <a href=\"\/HPC_Research\/slurm-guide\" class=\"nav-item\">SLURM Guide<\/a>\n            <a href=\"\/HPC_Research\/dashboard\" class=\"nav-item\">Cluster Dashboard<\/a>\n            <a href=\"\/HPC_Research\/leased-resources\" class=\"nav-item\">Leased Resources<\/a>\n        <\/div>\n\n        <div id=\"content-container\">\n            <div class=\"loading-spinner-container\">\n                <div class=\"loading-spinner\"><\/div>\n                <p>Loading content&#8230;<\/p>\n            <\/div>\n        <\/div>\n    <\/main>\n\n    <footer class=\"tu-footer\">\n        <p>TU Dublin HPC Monitor &#8211; Internal Use Only<\/p>\n    <\/footer>\n\n    <template id=\"hpc-content-template\">\n        <section class=\"card service-summary\">\n            <h3>Digital Futures Research Hub | School of Computer Science &#8211; HPC Services<\/h3>\n            <p>The High Performance Computing (HPC) resources at TU Dublin are provided by the Digital Futures Research Hub and operated by the School of Computer Science. These resources support computational research across TU Dublin.<\/p>\n            \n            <div class=\"service-highlights\">\n                <div class=\"highlight-item\">\n                    <h4>Research Support<\/h4>\n                    <p>The HPC cluster gives access to significant computational capability beyond personal computing devices. For appropriate research, the resources additionally provide an intermediate step to using the School&#8217;s High-Performance Computing (HPC) cluster.<\/p>\n                <\/div>\n                \n                <div class=\"highlight-item\">\n                    <h4>Service Eligibility<\/h4>\n                    <ul>\n                        <li>Research staff across TU Dublin<\/li>\n                        <li>PhD students with computational research requirements<\/li>\n                        <li>Approved research projects and collaborations<\/li>\n                    <\/ul>\n                <\/div>\n            <\/div>\n        <\/section>\n        \n        <section class=\"card hardware-resources\">\n            <h3>Current Hardware Resources<\/h3>\n            <p>The following resources are available as listed in the current HPC inventory:<\/p>\n            \n            <h4>Master Nodes<\/h4>\n            <div class=\"resource-table\">\n                <table>\n                    <thead>\n                        <tr>\n                            <th>Node<\/th>\n                            <th>Specifications<\/th>\n                        <\/tr>\n                    <\/thead>\n                    <tbody>\n                        <tr>\n                            <td>adapt-master<\/td>\n                            <td>PowerEdge R730xd, 2 x Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz (32 cores total), 62GB RAM, Storage: 278.9G,50.9T<\/td>\n                        <\/tr>\n                    <\/tbody>\n                <\/table>\n            <\/div>\n            \n            <h4>GPU Compute Nodes<\/h4>\n            <div class=\"resource-table\">\n                <table>\n                    <thead>\n                        <tr>\n                            <th>Node<\/th>\n                            <th>Specifications<\/th>\n                        <\/tr>\n                    <\/thead>\n                    <tbody>\n                        <tr>\n                            <td>ADAPT-01<\/td>\n                            <td>PowerEdge R730, NVIDIA GeForce RTX 2080 Ti [11GB], NVIDIA GeForce RTX 2080 Ti [11GB], 2 x Intel(R) Xeon(R) CPU E5-2623 v4 @ 2.60GHz (16 cores total), 503GB RAM, Storage: 3.6T<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>ADAPT-02<\/td>\n                            <td>PowerEdge R730, 8 CPU cores, 512GB Ram, 2 x RTX 2080TI<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>ADAPT-03<\/td>\n                            <td>PowerEdge R730, NVIDIA GeForce RTX 4070 [11GB], 2 x Intel(R) Xeon(R) CPU E5-2623 v4 @ 2.60GHz (16 cores total), 503GB RAM, Storage: 3.6T<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>ADAPT-CLIN<\/td>\n                            <td>Precision 7920 Rack, 8 CPU cores, 128 GB Ram, 2 x RTX Quadro 8000 graphics cards<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>AIRC-01<\/td>\n                            <td>PowerEdge R740, Tesla K80 [11GB], Tesla K80 [11GB], Tesla K80 [11GB], Tesla K80 [11GB], 2 x Intel(R) Xeon(R) Silver 4110 CPU @ 2.10GHz (32 cores total), 109GB RAM, Storage: 111.3G<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>AIRC-12<\/td>\n                            <td>PowerEdge R730, 128 GB Ram, 2 x RTX 2080 TI<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>ml-01<\/td>\n                            <td>Precision 7920 Rack, 128 GB Ram, 2 x RTX Quadro 8000 graphics cards<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>ml-12<\/td>\n                            <td>NVIDIA RTX A5500 [23GB], NVIDIA RTX A5500 [23GB], 2 x Intel(R) Xeon(R) Gold 6234 CPU @ 3.30GHz (32 cores total), 125GB RAM, Storage: 465.8G<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>ml-13<\/td>\n                            <td>PowerEdge Server, 117GB RAM, 16 CPU cores, 2x NVIDIA GPUs<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>socs-7960-01<\/td>\n                            <td>Precision 7960 Rack, NVIDIA RTX 6000 Ada Generation [47GB], 2 x Intel(R) Xeon(R) Silver 4410Y (48 cores total), 503GB RAM, Storage: 1.8T<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>socs-7960-02<\/td>\n                            <td>Precision 7960 Rack, NVIDIA RTX 6000 Ada Generation [47GB], 2 x Intel(R) Xeon(R) Silver 4410Y (48 cores total), 503GB RAM, Storage: 1.8T<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>socs-7960-13<\/td>\n                            <td>Precision 7960 Rack, NVIDIA RTX 6000 Ada Generation [47GB], 2 x Intel(R) Xeon(R) Silver 4410Y (48 cores total), 503GB RAM, Storage: 1.8T<\/td>\n                        <\/tr>\n                        <tr>\n                            <td>socs-7960-14<\/td>\n                            <td>Precision 7960 Rack, NVIDIA RTX 6000 Ada Generation [47GB], 2 x Intel(R) Xeon(R) Silver 4410Y (48 cores total), 503GB RAM, Storage: 1.8T<\/td>\n                        <\/tr>\n                    <\/tbody>\n                <\/table>\n            <\/div>\n            \n            <h4>CPU Compute Nodes (TBC)<\/h4>\n            <div class=\"resource-table\">\n                <table>\n                    <thead>\n                        <tr>\n                            <th>Resource<\/th>\n                            <th>Specifications<\/th>\n                        <\/tr>\n                    <\/thead>\n                    <tbody>\n                        <tr>\n                            <td>CPU RACK<\/td>\n                            <td>68-Node Rackmount CPU Cluster: Dual Xeon Gold 6148, 192GB RAM, 480GB SSD, Omni-Path Interconnect<\/td>\n                        <\/tr>\n                    <\/tbody>\n                <\/table>\n            <\/div>\n        <\/section>\n        \n        <section class=\"card software-environment\">\n            <h3>Software Environment<\/h3>\n            <p>As of March 2025, all the GPU nodes (except AIRC-01 TBD) &#038; G2 GPU nodes are standardized to use:<\/p>\n            <ul>\n                <li>Cuda versions 12.2, 12.4, and 12.7<\/li>\n                <li>Python 3.10<\/li>\n            <\/ul>\n            <p>In nearly all cases you should install your own software environment using Python&#8217;s built-in venv module or similar. See the <a href=\"\/HPC_Research\/slurm-guide\">SLURM usage guide<\/a> for more information.<\/p>\n        <\/section>\n        \n        <section class=\"card home-directories\">\n            <h3>Home Directories<\/h3>\n            <p>Each node has access to shared directories under <code>\/home<\/code>.<\/p>\n            <p>Previously there was a separate folder <code>\/data<\/code> for your data files. This has now been merged with the home directory structure. Folders that were previously in <code>\/data<\/code> can now be found in your home directory \u2014 typically the data is now located in <code>your_home\/from_data<\/code><\/p>\n        <\/section>\n        \n        <section class=\"card help-support\">\n            <h3>Help and Support<\/h3>\n            <p>For issues with HPC services, a ticketing system will be implemented shortly.<\/p>\n        <\/section>\n    <\/template>\n<\/body>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>HPC Services Overview Last Update: Loading&#8230; Overview Access Guide SLURM Guide Cluster Dashboard Leased Resources Loading content&#8230; TU Dublin HPC Monitor &#8211; Internal Use Only Digital Futures Research Hub | School of Computer Science &#8211; HPC Services The High Performance Computing (HPC) resources at TU Dublin are provided by the Digital Futures Research Hub and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/hpc-fullwidth-template.php","meta":{"zakra_sidebar_layout":"customizer","zakra_remove_content_margin":false,"zakra_sidebar":"customizer","zakra_transparent_header":"customizer","zakra_logo":0,"zakra_main_header_style":"default","zakra_menu_item_color":"","zakra_menu_item_hover_color":"","zakra_menu_item_active_color":"","zakra_menu_active_style":"","zakra_page_header":true,"footnotes":""},"class_list":["post-1425","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/pages\/1425","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/comments?post=1425"}],"version-history":[{"count":5,"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/pages\/1425\/revisions"}],"predecessor-version":[{"id":1474,"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/pages\/1425\/revisions\/1474"}],"wp:attachment":[{"href":"https:\/\/ascnet.ie\/HPC_Research\/wp-json\/wp\/v2\/media?parent=1425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}