{"id":808,"date":"2016-07-21T14:25:55","date_gmt":"2016-07-21T18:25:55","guid":{"rendered":"http:\/\/carleton.ca\/scs\/?page_id=808"},"modified":"2026-06-10T10:23:12","modified_gmt":"2026-06-10T14:23:12","slug":"cuda-gpu-computing","status":"publish","type":"page","link":"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/","title":{"rendered":"SCS GPU Computing with Openstack"},"content":{"rendered":"<h2>GPU Computing Introduction<\/h2>\n<p>The SCS GPU allow you to program using its CUDA (Compute Unified Device Architecture) cores. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. The CUDA platform is accessible to software developers through CUDA-accelerated libraries, compiler directives, and extensions to industry-standard programming languages.<\/p>\n<p>GPU programming has been widely used in the area of Deep learning and have been applied to fields such as:<\/p>\n<ul>\n<li>computer vision,<\/li>\n<li>machine vision,<\/li>\n<li>speech recognition,<\/li>\n<li>natural language processing,<\/li>\n<li>audio recognition,<\/li>\n<li>social network filtering,<\/li>\n<li>machine translation,<\/li>\n<li>bioinformatics,<\/li>\n<li>drug design,<\/li>\n<li>medical image analysis,<\/li>\n<li>material inspection,<\/li>\n<li>board game programs.<\/li>\n<\/ul>\n<p>Deep learning have produced results comparable to and in some cases surpassing human expert performance.<\/p>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-gpu-hardware\" aria-expanded=\"false\" aria-controls=\"slideme-gpu-hardware\" class=\"slideme__heading slideme__trigger\">GPU Hardware<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-gpu-hardware\" aria-hidden=\"true\"><p><\/p>\n<p>The School has the following GPU hardware (January 2024):<\/p>\n<table style=\"border-collapse: collapse; width: 74.583%;\">\n<tbody>\n<tr>\n<td style=\"width: 35%;\"><strong>NVIDIA GPU<\/strong><\/td>\n<td style=\"width: 10%;\"><strong>VRAM<\/strong><\/td>\n<td style=\"width: 15%;\"><strong>CUDA Cores<\/strong><\/td>\n<td style=\"width: 15%;\"><strong>Tensor Cores<\/strong><\/td>\n<td style=\"width: 25%;\"><strong>Ray Tracing Cores<\/strong><\/td>\n<\/tr>\n<tr>\n<td>RTX 4090<\/td>\n<td>24<\/td>\n<td>16,384<\/td>\n<td>512<\/td>\n<td>176<\/td>\n<\/tr>\n<tr>\n<td>RTX 4070 Ti Super<\/td>\n<td>16<\/td>\n<td>8,448<\/td>\n<td>264<\/td>\n<td>66<\/td>\n<\/tr>\n<tr>\n<td>A16<\/td>\n<td>16<\/td>\n<td>1,280<\/td>\n<td>40<\/td>\n<td>10<\/td>\n<\/tr>\n<tr>\n<td>RTX 3060 Ti<\/td>\n<td>8<\/td>\n<td>4,864<\/td>\n<td>152<\/td>\n<td>38<\/td>\n<\/tr>\n<tr>\n<td>RTX 3060<\/td>\n<td>12<\/td>\n<td>3,584<\/td>\n<td>112<\/td>\n<td>28<\/td>\n<\/tr>\n<tr>\n<td>Titan V<\/td>\n<td>12<\/td>\n<td>5,120<\/td>\n<td>640<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>RTX 2080 SUPER<\/td>\n<td>8<\/td>\n<td>3,072<\/td>\n<td>384<\/td>\n<td>48<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><\/p>\n<p>The school has various VM flavors that assign the number of vCPU&#8217;s, memory and disk space. Virtual machines are provisioned using the school&#8217;s Openstack cloud.<\/p>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-request-a-gpu-virtual-machine\" aria-expanded=\"false\" aria-controls=\"slideme-request-a-gpu-virtual-machine\" class=\"slideme__heading slideme__trigger\">Request a GPU virtual machine<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-request-a-gpu-virtual-machine\" aria-hidden=\"true\"><p><\/p>\n<p>Students currently taking a course that requires a GPU account can fill out this form to request a GPU VM:<\/p>\n<ul>\n<li><a href=\"https:\/\/carleton.ca\/scs\/tech-support\/scs-open-stack\/scs-gpu-request-form\/\" target=\"_blank\" rel=\"noopener noreferrer\">SCS GPU Request Form<\/a><\/li>\n<\/ul>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-ai-disclaimer\" aria-expanded=\"false\" aria-controls=\"slideme-ai-disclaimer\" class=\"slideme__heading slideme__trigger\">AI Disclaimer<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-ai-disclaimer\" aria-hidden=\"true\"><p><\/p>\n<p>When using SCS GPU resources for AI and deep learning, students should use data legally and ethically, protect privacy, and follow university policies and applicable laws. Do not upload, store, or process sensitive, confidential, or personal data unless you are explicitly authorized to do so, since AI workflows and remote systems can increase the risk of accidental data leakage. Models should also be checked for bias, limitations, and accuracy, and AI generated outputs should not be treated as unquestionable fact.<\/p>\n<p>Wherever possible, programs and experiments developed on these systems should aim to serve the greater good and avoid applications that could cause harm, recognizing that well intentioned projects can still have unintended negative impacts if these risks are not carefully assessed in advance. Please review any concerns about your project with your course instructor or faculty member.<\/p>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-accounts\" aria-expanded=\"false\" aria-controls=\"slideme-accounts\" class=\"slideme__heading slideme__trigger\">Accounts<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-accounts\" aria-hidden=\"true\"><p><\/p>\n<p>You will need the following accounts to use the SCS GPU VM&#8217;s:<\/p>\n<ol>\n<li>MyCarletonOne account account (university wide or ITS account) &#8211; needed to<a href=\"https:\/\/carleton.ca\/its\/help-centre\/remote-access\/\" target=\"_blank\" rel=\"noopener noreferrer\"> VPN<\/a><\/li>\n<li>GPU VM account &#8211; created by the SCS Tech Staff<\/li>\n<\/ol>\n<blockquote><p>Please note the GPU account is a local account and you are responsible for your own backups!<\/p><\/blockquote>\n<p><strong>More Account information:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/carleton.ca\/scs\/tech-support\/accounts\/\">SCS Accounts<\/a><\/li>\n<\/ul>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-change-your-default-password\" aria-expanded=\"false\" aria-controls=\"slideme-change-your-default-password\" class=\"slideme__heading slideme__trigger\">Change your default Password<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-change-your-default-password\" aria-hidden=\"true\"><p><\/p>\n<p>Please change your default GPU VM password once you login. The simplest way to do that in Linux is to:<\/p>\n<ol>\n<li>login to your Linux VM<\/li>\n<li>start an xterminal or command windows<\/li>\n<li>at the command prompt type &#8216;passwd&#8217; and follow the instructions<\/li>\n<\/ol>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-openstack-gpu-virtual-machine-images\" aria-expanded=\"false\" aria-controls=\"slideme-openstack-gpu-virtual-machine-images\" class=\"slideme__heading slideme__trigger\">Openstack GPU Virtual Machine Images<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-openstack-gpu-virtual-machine-images\" aria-hidden=\"true\"><p><\/p>\n<p>Specific help for an Open Stack image:<\/p>\n<ul>\n<li><a href=\"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/scs-gpu-vm-2024-5\/\" target=\"_blank\" rel=\"noopener noreferrer\">SCS GPU VM Fall 2024-5<\/a><\/li>\n<\/ul>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-accessing-the-gpu-servers\" aria-expanded=\"false\" aria-controls=\"slideme-accessing-the-gpu-servers\" class=\"slideme__heading slideme__trigger\">Accessing the GPU Servers<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-accessing-the-gpu-servers\" aria-hidden=\"true\"><p><\/p>\n<blockquote><p>Note that you require VPN for remote accessing your instances! &#8211; <a href=\"https:\/\/carleton.ca\/its\/help-centre\/remote-access\/\" target=\"_blank\" rel=\"noopener noreferrer\">Remote Access &#8211; VPN<\/a><\/p><\/blockquote>\n<p>You can access the GPU&#8217;s as follows:<\/p>\n<ol>\n<li>Using a remote desktop<\/li>\n<li>using a command line ssh client<\/li>\n<\/ol>\n<h4>Logging in using x2go (remote desktop)<\/h4>\n<p>The preferred way to access the GPU server is to VPN to Carleton or use a lab on campus such as the <a href=\"https:\/\/carleton.ca\/scs\/technical-support\/computer-laboratories\/\">SCS Computer labs <\/a>and then remote desktop (x2go) directly to the server (see diagram). The x2go session will give you a full GUI desktop. Detailed x2go instructions are here:<\/p>\n<ul>\n<li><a href=\"https:\/\/carleton.ca\/scs\/tech-support\/scs-open-stack\/openstack-technical-support\/x2go\/\" target=\"_blank\" rel=\"noopener noreferrer\">x2go Remote Desktop Client<\/a><\/li>\n<\/ul>\n<h4>Logging in using ssh (command line)<\/h4>\n<ul>\n<li><a href=\"https:\/\/carleton.ca\/scs\/2019\/connecting-to-openstack-instances-ssh-with-putty\/\">Openstack \u2013 Connecting to an Instance \u2013 SSH (putty)<\/a><\/li>\n<li><a href=\"https:\/\/carleton.ca\/scs\/tech-support\/secure-shell-ssh\/\" target=\"_blank\" rel=\"noopener noreferrer\">Secure Shell (ssh)<\/a><\/li>\n<\/ul>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-backing-up-files\" aria-expanded=\"false\" aria-controls=\"slideme-backing-up-files\" class=\"slideme__heading slideme__trigger\">Backing up Files<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-backing-up-files\" aria-hidden=\"true\"><p><\/p>\n<p>Once the VM is shut down it no longer exists so its important to backup your files especially once you have completed your experiments.<\/p>\n<ul>\n<li><a href=\"https:\/\/carleton.ca\/scs\/technical-support\/backups\/\" target=\"_blank\" rel=\"noopener noreferrer\">Backing up files<\/a><\/li>\n<\/ul>\n<p><\/p><\/dd><dl><\/div>\n<div class=\"slideme\"><dl class=\"slideme__list\"><dt class=\"slideme__term\"><a href=\"#slideme-when-you-are-finished\" aria-expanded=\"false\" aria-controls=\"slideme-when-you-are-finished\" class=\"slideme__heading slideme__trigger\">When you are finished<\/a><\/dt><dd class=\"slideme__description\" id=\"slideme-when-you-are-finished\" aria-hidden=\"true\"><p><\/p>\n<p>Every GPU VM has an expiry date.\u00a0Once you completed your GPU experiments and you have <strong>backed up your files<\/strong> your VM can be terminated. Please note once your VM is terminated it cannot be recovered.<\/p>\n<blockquote><p>If you finish your experiments before your VM expiry date please let us know. This will allow another student the opportunity to use your GPU.<\/p><\/blockquote>\n<p>To help us improve our service, please fill out this exit questionnaire once you are finished:<\/p>\n<ul>\n<li><a href=\"https:\/\/carleton.ca\/scs\/scs-forms\/scs-gpu-exit-questionnaire\/\" target=\"_blank\" rel=\"noopener noreferrer\">SCS GPU Exit Questionnaire<\/a><\/li>\n<\/ul>\n<p><\/p><\/dd><dl><\/div>\n<p><\/p>\n<p><a href=\"https:\/\/youtu.be\/h9Z4oGN89MU?si=EiKgLPC7Nl7SdTEv\" class=\"ccms__fancybox\" data-caption=\"How do Graphics Cards Work? Exploring GPU Architecture (YouTube)\">How do Graphics Cards Work? Exploring GPU Architecture (YouTube)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>GPU Computing Introduction The SCS GPU allow you to program using its CUDA (Compute Unified Device Architecture) cores. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. The CUDA platform is accessible to software developers through CUDA-accelerated libraries, compiler directives, and extensions to industry-standard programming languages. GPU programming has [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"parent":6535,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>SCS GPU Computing with Openstack - School of Computer Science<\/title>\n<meta name=\"description\" content=\"GPU Computing Introduction The SCS GPU allow you to program using its CUDA (Compute Unified Device Architecture) cores. CUDA is a parallel computing\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/\",\"url\":\"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/\",\"name\":\"SCS GPU Computing with Openstack - School of Computer Science\",\"isPartOf\":{\"@id\":\"https:\/\/carleton.ca\/scs\/#website\"},\"datePublished\":\"2016-07-21T18:25:55+00:00\",\"dateModified\":\"2026-06-10T14:23:12+00:00\",\"description\":\"GPU Computing Introduction The SCS GPU allow you to program using its CUDA (Compute Unified Device Architecture) cores. CUDA is a parallel computing\",\"breadcrumb\":{\"@id\":\"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/carleton.ca\/scs\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Technical Support\",\"item\":\"https:\/\/carleton.ca\/scs\/tech-support\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"SCS GPU Computing with Openstack\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/carleton.ca\/scs\/#website\",\"url\":\"https:\/\/carleton.ca\/scs\/\",\"name\":\"School of Computer Science\",\"description\":\"Carleton University\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/carleton.ca\/scs\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"SCS GPU Computing with Openstack - School of Computer Science","description":"GPU Computing Introduction The SCS GPU allow you to program using its CUDA (Compute Unified Device Architecture) cores. CUDA is a parallel computing","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/","url":"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/","name":"SCS GPU Computing with Openstack - School of Computer Science","isPartOf":{"@id":"https:\/\/carleton.ca\/scs\/#website"},"datePublished":"2016-07-21T18:25:55+00:00","dateModified":"2026-06-10T14:23:12+00:00","description":"GPU Computing Introduction The SCS GPU allow you to program using its CUDA (Compute Unified Device Architecture) cores. CUDA is a parallel computing","breadcrumb":{"@id":"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/carleton.ca\/scs\/"},{"@type":"ListItem","position":2,"name":"Technical Support","item":"https:\/\/carleton.ca\/scs\/tech-support\/"},{"@type":"ListItem","position":3,"name":"SCS GPU Computing with Openstack"}]},{"@type":"WebSite","@id":"https:\/\/carleton.ca\/scs\/#website","url":"https:\/\/carleton.ca\/scs\/","name":"School of Computer Science","description":"Carleton University","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/carleton.ca\/scs\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"}]}},"acf":{"banner_image_type":"upload","banner_uploaded_image":{"ID":15557,"id":15557,"title":"RTX3090 component","filename":"rtx3090-2-1600x700-1.jpg","filesize":437225,"url":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1.jpg","link":"https:\/\/carleton.ca\/scs\/tech-support\/cuda-gpu-computing\/rtx3090-2-1600x700\/","alt":"RTX3090 component","author":"7","description":"RTX3090 component","caption":"","name":"rtx3090-2-1600x700","status":"inherit","uploaded_to":808,"date":"2022-09-20 18:28:47","modified":"2022-09-20 18:29:14","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/carleton.ca\/scs\/wp\/wp-includes\/images\/media\/default.png","width":1600,"height":700,"sizes":{"thumbnail":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-160x70.jpg","thumbnail-width":160,"thumbnail-height":70,"medium":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-240x105.jpg","medium-width":240,"medium-height":105,"medium_large":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-768x336.jpg","medium_large-width":768,"medium_large-height":336,"large":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-400x175.jpg","large-width":400,"large-height":175,"gallery-thumb":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-300x230.jpg","gallery-thumb-width":300,"gallery-thumb-height":230,"1536x1536":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-1536x672.jpg","1536x1536-width":1536,"1536x1536-height":672,"2048x2048":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1.jpg","2048x2048-width":1600,"2048x2048-height":700,"banner":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1.jpg","banner-width":1600,"banner-height":700,"people":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-200x200.jpg","people-width":200,"people-height":200,"post-thumb":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-300x230.jpg","post-thumb-width":300,"post-thumb-height":230,"rotator-image":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-800x600.jpg","rotator-image-width":800,"rotator-image-height":600,"video-thumb":"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/rtx3090-2-1600x700-1-360x158.jpg","video-thumb-width":360,"video-thumb-height":158}},"banner_opacity":"dark","banner_button":"no"},"_links":{"self":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/808"}],"collection":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/comments?post=808"}],"version-history":[{"count":4,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/808\/revisions"}],"predecessor-version":[{"id":24272,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/808\/revisions\/24272"}],"up":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/6535"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/media?parent=808"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}