{"id":35967,"date":"2022-02-08T21:47:35","date_gmt":"2022-02-09T02:47:35","guid":{"rendered":"https:\/\/www.bu.edu\/cise\/?post_type=research&#038;p=35967"},"modified":"2022-02-21T22:21:37","modified_gmt":"2022-02-22T03:21:37","slug":"privacy-preserving-cloud-computing-using-homomorphic-encryption-2","status":"publish","type":"research","link":"https:\/\/www.bu.edu\/cise\/research\/privacy-preserving-cloud-computing-using-homomorphic-encryption-2\/","title":{"rendered":"Electro-Photonic Computing (EPiC) for On-Premise Applications"},"content":{"rendered":"<p>Researchers from Boston University College of Engineering, the Harvard John A. Paulson School of Engineering and Applied Sciences, and photonic-computing developer Lightmatter are collaborating to develop an Electro-Photonic Computing (EPiC) solution for Autonomous Vehicles (AVs), solving one of the biggest hurdles AVs face today \u2013 delivering high performance, low latency computing power that is also energy efficient.<\/p>\n<p>The main objective of the project is to develop a complete end-to-end high performance DNN system for on-premise computing applications\u2014mainly for a SWaP-constrained Autonomous Vehicle\u2014using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators), integrate it with the sensors in AV and demonstrate its capability to perform perception, mapping, and planning while overcoming the power and performance limitations of CMOS-only computers. As our end goal, we plan to demonstrate a fully autonomous buggy that uses our EPiC system.<\/p>\n<p>For more information, click <a href=\"https:\/\/www.bu.edu\/cise\/lighting-the-way-forward-for-autonomous-vehicles\/\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n<p>Additional story <a href=\"https:\/\/www.businesswire.com\/news\/home\/20220208005509\/en\/Lightmatter-Harvard-and-Boston-University-Collaborate-to-Create-Electro-Photonic-Systems-for-Autonomous-Vehicles-Under-New-4.8M-IARPA-Project\" target=\"_blank\" rel=\"noopener noreferrer\">here<\/a>.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers from Boston University College of Engineering, the Harvard John A. Paulson School of Engineering and Applied Sciences, and photonic-computing developer Lightmatter are collaborating to develop an Electro-Photonic Computing (EPiC) solution for Autonomous Vehicles (AVs), solving one of the biggest hurdles AVs face today \u2013 delivering high performance, low latency computing power that is also [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","format":"standard","_links":{"self":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/research\/35967"}],"collection":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/research"}],"about":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/types\/research"}],"version-history":[{"count":7,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/research\/35967\/revisions"}],"predecessor-version":[{"id":35979,"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/research\/35967\/revisions\/35979"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cise\/wp-json\/wp\/v2\/media?parent=35967"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}