{"id":1019,"date":"2015-02-17T07:32:39","date_gmt":"2015-02-17T06:32:39","guid":{"rendered":"http:\/\/eyesofthings.eu\/?p=1019"},"modified":"2015-02-17T07:32:39","modified_gmt":"2015-02-17T06:32:39","slug":"always-vision-processing-unit-vpu-mobile-applications","status":"publish","type":"post","link":"https:\/\/eyesofthings.eu\/?p=1019","title":{"rendered":"Always-on Vision Processing Unit (VPU) for Mobile Applications"},"content":{"rendered":"<p>ABSTRACT:<\/p>\n<p>Myriad 2 is a multicore always-on System-on-Chip supporting computational imaging and visual awareness for mobile, wearable, and embedded applications. The Myriad 2 Vision Processing Unit (VPU) is based on the 128-bit SHAVE vector-processor and hardware acceleration pipeline backed by shared multicore memory subsystem and peripherals, and occupies 27mm2 in 28nm HPM-CMOS. The device has been designed to operate at 0.9V for nominal 600MHz operation, and contains 17 different power-islands coupled with extensive clock-gating under a software API to minimise power-dissipation. The 12 integrated SHAVE processors combined with video hardware accelerators achieve 1000 GFLOPS (fp16 type) at 600mW including peripherals and stacked 32-bit wide 128MB LP DDR2 DRAM operating at 533MHz. The VPU incorporates parallelism, ISA and microarchitectural features such as multi-ported register-files and hardware support for sparse data-structures, video hardware accelerators, configurable multicore and multiported memory banks; thus it provides exceptional and highly sustainable performance efficiency across a range of computational imaging and computer vision applications including those with low latency requirements on the order of milliseconds.<\/p>\n<p><a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=7024073&amp;sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A5210076%29\">Paper here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ABSTRACT: Myriad 2 is a multicore always-on System-on-Chip supporting computational imaging and visual awareness for mobile, wearable, and embedded applications. The Myriad 2 Vision Processing Unit (VPU) is based on the 128-bit SHAVE vector-processor and hardware acceleration pipeline backed by&hellip; <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[19],"tags":[],"class_list":["post-1019","post","type-post","status-publish","format-standard","hentry","category-information"],"_links":{"self":[{"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=\/wp\/v2\/posts\/1019","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1019"}],"version-history":[{"count":2,"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=\/wp\/v2\/posts\/1019\/revisions"}],"predecessor-version":[{"id":1021,"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=\/wp\/v2\/posts\/1019\/revisions\/1021"}],"wp:attachment":[{"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1019"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1019"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eyesofthings.eu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}