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Tulipp collaboration Workshop - Advanced Computing and CPS - June 2016
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Slides presenting the H2020 Tulipp project: the reference platform, the use cases and the partners
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Tulipp collaboration Workshop - Advanced Computing and CPS - June 2016
- www.TULIPP.eu This project has received funding from the European Union’s Horizon 20 20 research and innovation programme under grant agreement No 688403 Diana Göhringer – Ruhr-University Bochum diana.goehringer@rub.de COLLABORATION WORKSHOP Advanced Computing and CPS 14.06.2016
- 2 TheinformationcontainedinthisdocumentandanyattachmentsarethepropertyofTulippconsortium.Youareherebynotifiedthatanyreview,dissemination,distribution, copyingorotherwiseuseofthisdocumentmustbedoneinaccordancewiththeCAoftheproject(TRT/DJ/ACU).Templateversion1.0 H2020 Right Tool for the Right Job The TULIPP Processor Node has to be: Heterogeneous and Low-Power. Flexible in terms of interface to “REAL-WORLD” I/O. Commercial available in single quantities from any source. ©TULIPP’sProcessorNodeVenn. Sourceavailablefromcoordinator@TULIPP.eu
- 3 TheinformationcontainedinthisdocumentandanyattachmentsarethepropertyofTulippconsortium.Youareherebynotifiedthatanyreview,dissemination,distribution, copyingorotherwiseuseofthisdocumentmustbedoneinaccordancewiththeCAoftheproject(TRT/DJ/ACU).Templateversion1.0 H2020 TULIPP Reference platform The TULIPP reference platform will be ‘Use-Case’ driven and contains: Reference multicore HW architecture – a scalable low-power board. Low-power operating system and image processing libraries. Energy aware toolchain. Component tools Operating System Processor Toolchain Reference Platform Memory IO Processor
- 4 TheinformationcontainedinthisdocumentandanyattachmentsarethepropertyofTulippconsortium.Youareherebynotifiedthatanyreview,dissemination,distribution, copyingorotherwiseuseofthisdocumentmustbedoneinaccordancewiththeCAoftheproject(TRT/DJ/ACU).Templateversion1.0 H2020 TULIPP Use-Cases Unmanned Aerial Vehicles: More intelligence through an energy-efficient and small on-board controller Surveillance and Rescue UAVs Medical X-Ray Imaging Advanced Driver Assistance Medical imaging: Radiation dose reduction in surgical X-ray systems through real-time image processing Automotive: Reliable, affordable and low latency image processing with hard real-time constraints
- 5 TheinformationcontainedinthisdocumentandanyattachmentsarethepropertyofTulippconsortium.Youareherebynotifiedthatanyreview,dissemination,distribution, copyingorotherwiseuseofthisdocumentmustbedoneinaccordancewiththeCAoftheproject(TRT/DJ/ACU).Templateversion1.0 H2020 Our Team + Advisory Board Member Request Looking for Board Members Join us: http://goo.gl/GIzGg2 Email: coordinator@TULIPP.eu Thank You!
Notes de l'éditeur
- TULIPP - Towards Ubiquitous Low-power Image Processing Platforms - is a research project that creates reference design rules to guide and facilitate the development of power efficient image processing platforms, where platform means hardware, operating system and toolchain together with standardized interfaces.
- The technical and commercial criteria for selecting a processor for TULIPP were difficult. Each individual of the consortium had preferences and ideas for what was not only the best candidate based on prediction what the future will bring in terms of semiconductor technology, but also had to be commercial available (or at least visible) today. It has to be available to anybody in any low-volume “Use Cases” that are not even covered during the project. The choice(s) is overwhelming as below picture can illustrate. They are the best (not all) of the semiconductor manufactures that offers processors today that would be a candidate for being a TULIPP processor
- The main objective of Tulipp is to provide at the end of the project a reference platform through associated guidelines so that image processing board manufacturers could develop a low-power high performance computing system with the expected performances. The project will concentrate on interfaces between the components of the platform as well as design and implementation rules. Following the rules, anyone will be able to produce a compliant platform and benefit from the technological advances generated by the project. The interfaces will be defined, so as to enable any industrial to produce any sub-part of the platform and plug it to other existing platform so as to create a new Tulipp platform instance.
- Bring intelligence to the drones The TULIPP solution aims to fill this processing gap by using its good performance to weight and power consumption to weight figures. In this UAV use case we plan to use computer vision algorithms such as depth estimation and obstacle detection to evaluate the surroundings and make the UAV more intelligent. ------ Safer driving experience ADAS vision systems require real time, low latency processing, at high to very high computational load. They need to be robust and reliable, and will often be treated as safety critical systems. The Tulipp project addresses all these questions – by offering a toolset and standardization, it will help the designers to focus on the image processing application rather than platform details. ------- Reduce radiation dose by 75% In the Tulipp project our aim is to try and reduce the level of radiation by 75%. As a result of this, more powerful image processing will be required in order to still be able to see many of the small details in the human body that are crucial during surgery. Since most operating rooms are small, the device needs to be small and mobile. A system that integrates the processing close to the sensor would be ideal to help reduce extraneous wires
- The Advisory Board Members will be involved in the TULIPP project on a non-exclusive and volunteering basis with no financial contributions towards cost of time, efforts and travel by any partners. The Advisory Board Member has no liabilities and/or obligations towards the TULIPP consortium. Confidential information will be exchanged between the Advisory Board Member and the TULIPP consortium once an appropriate non-disclosure agreement is signed. The TULIPP consortium selects the Advisory Board Member based on ‘Best-Fit-Approach’ to support the development of the platform and is limited to 20 participants. The Advisory Board Member may leave at any time and the TULIPP consortium may ask the Advisory Board Member to leave without any financial obligations on any parties. The Advisory Board Member will recommend the TULIPP partners on ways to improve and help the TULIPP project towards normalization and standardization of its reference platform guideline for the power-efficient image processing domain. The Advisory Board Member will be kept informed about progress and consulted at every step of the project to review and evaluate the reference platform guideline in respect to pre-standardization and help in promoting the reference platform as a standard.
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