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DTSTART;TZID=America/Los_Angeles:20150512T150000
DTEND;TZID=America/Los_Angeles:20150512T160000
DTSTAMP:20231011T190510Z
CREATED:20231011T190510Z
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UID:14431-1431442800-1431446400@www.cecs.uci.edu
SUMMARY:Design Technologies for Embedded Multiprocessor Systems-on-Chip
DESCRIPTION:Speaker:  Prof. Rainer Leupers \nTitle: Design Technologies for Embedded Multiprocessor Systems-on-Chip \nDate: Thursday\, April 9\, 2015 \nTime: 11:00am \nLocation: Harut Barsamian Colloquia Room (Engineering Hall 2430) \nHost: Mohammad Al Faruque \nAbstract:  \nThe trend towards Multicore and even Manycore architectures affects virtually all areas of computing today. Especially in the mobiles and consumer domains\, an extremely high architectural efficiency (MIPS/Watt) is required. In order to manage the complexity of multi-billion transistor IC designs with dozens of heterogeneous processing engines\, advanced Electronic System Level (ESL) tools are required. ESL can be roughly subdivided into four categories: architecture modeling and optimization\, application SW mapping\, simulation and verification\, and efficient IP block design. After a general introduction to embedded MPSoC (Multiprocessor Systems-on-Chip) architectures and ESL technologies\, this seminar talk will cover selected aspects from the above four domains\, in particular ESL power estimation\, embedded multicore SW development\, fast virtual platforms\, and application-specific processor design. \nFor more information\, click here.
URL:https://www.cecs.uci.edu/event/design-technologies-for-embedded-multiprocessor-systems-on-chip/
LOCATION:CA
CATEGORIES:Seminars at CECS
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DTSTART;TZID=America/Los_Angeles:20150528T150000
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DTSTAMP:20231011T190519Z
CREATED:20231011T190518Z
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UID:14435-1432825200-1432828800@www.cecs.uci.edu
SUMMARY:Computational Neuroscience for Technology: Event-based Vision Sensors and Information Processing
DESCRIPTION:Speaker:  Prof. Jörg Conradt\nTitle:  Computational Neuroscience for Technology: Event-based Vision Sensors and Information Processing \nDate:  Tuesday\, June 2\, 2015 \nTime:  3:00 p.m. \nLocation:  Donald Bren Hall 4011 \nHost:  Jeff Krichmar and Nikil Dutt \nAbstract:  \nIn recent decades the field of Computer Vision has developed sophisticated algorithms for problems such as object tracking or motion extraction based on sequences of high-resolution camera images. Applying such algorithms in real-time robotics reveals an inherent problem: they typically require high data bandwidth and high processing power\, which results in substantial computing machinery and/or delayed processing of data. As part of an optimized biological solution for vision\, our brain developed retinal receptor cells that largely respond with asynchronous events (“neural spikes”) to temporal changes of brightness. Such encoding of visual information substantially reduces the amount of transmitted data and simultaneously increases temporal precision. \nRecently “silicon retinas” have been developed as specialized vision sensors to provide such neuro-inspired vision input for technical systems. Visual information obtained from these sensors differs substantially from traditional sequences of images\, which requires an “event-based” redesign of computer vision algorithms. This talk introduces the neuro-inspired vision sensors and presents event-based algorithms for applications such as real-time computation of optic flow and visual object tracking at high update rates on minimalistic computing hardware. \nView Details
URL:https://www.cecs.uci.edu/event/computational-neuroscience-for-technology-event-based-vision-sensors-and-information-processing/
LOCATION:CA
CATEGORIES:Seminars at CECS
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