{"id":4,"date":"2022-04-25T18:23:47","date_gmt":"2022-04-25T18:23:47","guid":{"rendered":"https:\/\/www.isi.edu\/research-groups-hc\/?page_id=4"},"modified":"2022-04-26T21:07:05","modified_gmt":"2022-04-26T21:07:05","slug":"home","status":"publish","type":"page","link":"https:\/\/www.isi.edu\/research-groups-hc\/","title":{"rendered":"Home"},"content":{"rendered":"\n\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.isi.edu\/research-groups-hc\/wp-content\/uploads\/sites\/20\/2022\/04\/cloud-computing-3.jpg\" alt=\"Virtual Cloud with Lines of Data\" itemprop=\"image\" height=\"400\" width=\"1200\" title=\"cloud-computing-3\" onerror=\"this.style.display='none'\"  \/>\n   <h2>Heterogeneous Cloud Computing<\/h2>\n    <p>USC\/ISI made significant contributions to OpenStack, enabling the first heterogeneous resources (GPUs) and extending the OpenStack resource management model to accommodate specialization. We&#8217;ve extended this work to target real-time systems, enabling high performance real-time computing in virtualized cloud environments.<\/p> \n<style>\n  @media screen and (max-width: 1200px) {\n    .content{\n        margin: 0 20px;\n    }\n<\/style>\n<section>\n    <h2>Our Research<\/h2>\n<\/section>\n<article>\n    <section><h2>Space Systems Software<\/h2><p>USC\/ISI developed the system software for the Maestro Processor and is the system software lead for NASA&#8217;s High Performance Spaceflight Computing program. In this role, USC\/ISI is developing robust operating system support for upcoming many-core and heterogeneous multi-core space processors as well as software-based emulation environments for the processors. Another critical element of our work is the development of software-implemented fault tolerance solutions that will enable future space missions to autonomously self-recover from failures without compromising mission goals.<\/p><\/section>\n    <section><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.isi.edu\/research-groups-hc\/wp-content\/uploads\/sites\/20\/2022\/04\/space-systems-2.jpg\" alt=\"Virtual Paperplane with Binary Code\"\/><\/section>\n<\/article>\n<article>\n    <section><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.isi.edu\/research-groups-hc\/wp-content\/uploads\/sites\/20\/2022\/04\/virtual-machine-2.jpg\" alt=\"Virtual Brain Controlling Peripheral Devices\"\/><\/section>\n    <section><h2>Virtualization<\/h2><p>As a research organization, USC\/ISI&#8217;s heterogeneous computing group is particularly interested in enabling high performance virtualized computing. This involves optimizations to enable accelerators of all kinds &#8211; from GPUs, FPGAs, and Xeon Phi, to high performance SR-IOV-enabled network adapters. USC\/ISI is currently working to enable single client 100 GB\/s storage performance for combination storage and compute-intensive applications.<\/p><\/section>\n<\/article>\n<article>\n    <section><h2>Resource Management<\/h2><p>USC\/ISI&#8217;s work in autonomous resource management has led to advances in real-time computing, enabling virtualized resources to vertically scale in order to meet the needs of multi-modal real-time application behavior.\u00a0 This enables improved resource utilization, allowing more efficient resource provisioning with the ability to vertically burst allocate compute performance when needed.<\/p><\/section>\n    <section><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/www.isi.edu\/research-groups-hc\/wp-content\/uploads\/sites\/20\/2022\/04\/resource-management-2.jpg\" alt=\"Stream of Binary Code on City Street\"\/><\/section>\n<\/article>\n\n","protected":false},"excerpt":{"rendered":"<p>Heterogeneous Cloud Computing USC\/ISI made significant contributions to OpenStack, enabling the first heterogeneous resources (GPUs) and extending the OpenStack resource management model to accommodate specialization. We&#8217;ve extended this work to target real-time systems, enabling high performance real-time computing in virtualized cloud environments. Our Research Space Systems Software USC\/ISI developed the system software for the Maestro&hellip;<\/p>\n","protected":false},"author":421,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"tpl-full-width.php","meta":{"news_source":"","news_author":"","external_news_link":"","footnotes":""},"class_list":["post-4","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Home - Heterogeneous Computing<\/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:\/\/www.isi.edu\/research-groups-hc\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Home - Heterogeneous Computing\" \/>\n<meta property=\"og:description\" content=\"Heterogeneous Cloud Computing USC\/ISI made significant contributions to OpenStack, enabling the first heterogeneous resources (GPUs) and extending the OpenStack resource management model to accommodate specialization. We&#8217;ve extended this work to target real-time systems, enabling high performance real-time computing in virtualized cloud environments. 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