Opendata, web and dolomites

GPU-WEAR SIGNED

GPU-WEAR, Ultra-low power heterogeneous Graphics Processing Units for Wearable/IoT devices

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 GPU-WEAR project word cloud

Explore the words cloud of the GPU-WEAR project. It provides you a very rough idea of what is the project "GPU-WEAR" about.

experiencing    instrument    market    capacity    demand    strategy    solidifying    amplified    levels    first    multicore    region    valley    protection    executed    spanning    six    circuits    world    encouragement    disciplinary    20    representation    outlook    asia    greece    run    infotainment    underpins    silicon    fulfilling    alliance    supporting    architecture    optimization    central    dealing    cagr    trl9    business    offices    complemented    platform    think    private    economic    revenues    companies    graphics    significantly    heterogeneous    properly    techniques    tsi    canada    patented    2b    reinforce    practices    time    ultra    multiple    sme    export    consumption    healthcare    power    ict    software    revenue    fitness    innovation    32    developer    ip    technologies    gpu    successful    industries    2019    demonstrated    accelerate    community    benefits    faster    proven    line    crisis    global    release    semiconductor    optimized    disruption    formed    sales    library    strategic    expertise    introduction    investment    ipr    wellness    iot    tools    compiler    gpus    wearable    api    manufacturing    employment    commercial   

Project "GPU-WEAR" data sheet

The following table provides information about the project.

Coordinator
THINK SILICON EREYNA KAI TECHNOLOGIA ANONYMI ETAIRIA 

Organization address
address: PATRAS SCIENCES PARK
city: PLATANI RIO AKHAIAS
postcode: 26504
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Project website http://think-silicon.com/research-technology/gpu-wear/
 Total cost 1˙951˙915 €
 EC max contribution 1˙366˙340 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2015
 Funding Scheme SME-2
 Starting year 2016
 Duration (year-month-day) from 2016-06-01   to  2018-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THINK SILICON EREYNA KAI TECHNOLOGIA ANONYMI ETAIRIA EL (PLATANI RIO AKHAIAS) coordinator 1˙366˙340.00

Map

 Project objective

Think Silicon S.A. (TSi) has become one of the only six companies in the world that have a proven capacity to develop Graphics IP technology. This technology is essential for fulfilling the ever increasing demand for wearable and IoT devices. Dealing with the levels of power consumption required by those devices represents a major challenge and TSi has demonstrated and patented novel multi-disciplinary approaches spanning circuits, architecture, compiler and API level optimization techniques. This proposal is about bringing the world’s first ultra-low power optimized heterogeneous multicore embedded graphics processing unit (GPU), low-power software library and associated run-time system to TRL9. The technical advances are to be complemented by a comprehensive innovation management strategy covering IPR protection, commercial exploitation and alliance formation. Central to supporting uptake is the release of platform and tools to the Open Developer Community, in line with best practices in the sector. Support by the SME Instrument would enable TSi to accelerate the disruption of the global market for GPUs through faster and properly executed market introduction. Key benefits to Europe include amplified export revenue (TSi has offices in Silicon Valley and Canada as well as sales representation in Asia), increased employment along with encouragement of private investment in a region significantly affected by the economic crisis (Greece), but most importantly solidifying expertise and IPR in a strategic ICT sector that underpins multiple industries including healthcare, fitness/wellness, infotainment and manufacturing. The IoT market outlook is experiencing high growth with revenues of $32.2B in 2019 with a CAGR of 20% and low power technologies become the key factor being successful in this market. Recently formed business partnerships with major semiconductor companies reinforce the value of TSi’s offering and its potential in the ultra-low power GPU market.

 Deliverables

List of deliverables.
First Report on GPU-WEAR-SDK Adoption by Open Community Documents, reports 2019-05-31 18:17:28
Initial Press Release Documents, reports 2019-05-31 18:17:25
Final Project Report Documents, reports 2019-05-31 18:17:26
Second Report on GPU-WEAR-SDK Adoption by Open Community Documents, reports 2019-05-31 18:17:25
Final Press Release Documents, reports 2019-05-31 18:17:28
Second Collateral Supporting Product Soft-launch Documents, reports 2019-05-31 18:17:29
First Collateral Supporting Product Soft-launch Documents, reports 2019-05-31 18:17:25
Final Project Periodic Report Documents, reports 2019-05-31 18:17:25

Take a look to the deliverables list in detail:  detailed list of GPU-WEAR deliverables.

 Publications

year authors and title journal last update
List of publications.
2016 Think Silicon
NEMA|t product brief
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
NEMA|Pix-Presso User Manual
published pages: , ISSN: , DOI:
2019-06-13
2016 Think Silicon
Think Silicon receives funding from EU’s Horizon 2020 SME Instrument program
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
Think Silicon Compression Technology The best compression algorithm for high-quality image results extending battery life(Collateral)
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA®|GUI-Builder User Manual v1.8
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA®| SHADER-Edit A Comprehensive Overview
published pages: , ISSN: , DOI:
2019-06-13
2016 Think Silicon
NEMA|p product brief
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon and Lattice
Lattice Semiconductor Delivers New Machine Learning and Sensor-to-Cloud Security Solutions for Intelligence at the Edge
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
Think Silicon Announces New Tools for Developers at Mobile World Congress 2017
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA®|GFX Extensions A study on Vector Graphics
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
Vertex Processor Instruction Set Architecture
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA®|GFX - API LibraryA Comprehensive Overview
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA|GFX-APILow Memory Footprint Graphics Library(Collateral)
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
Vincent 3D Rendering LibraryOpenGL® ES 1.1 for NEMA®|p User Guide
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA®|t Graphics Processing Unit Software Guide v1.8
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
NEMA|GUI-Builder product brief
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
The NemaGFX Graphics API for High Quality GUI Development is now available
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
Think Silicon Partners with Synopsys for Groundbreaking Ultra-Low Power IoT Platform for Wearables
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon and Sequans Communication
Sequans Integrates Think SiliconTM GPU Technologyin New LTE for IoT System-on-Chip
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
NEMA|GFX-API User Manual
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA®|GFX Benchmark Suite User Manual v1.8
published pages: , ISSN: , DOI:
2019-06-13
2017 Think Silicon
NEMA|SHADER-Edit User Manual
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
Think Silicon Announces New NEMA® | GUI-Builder to Empower Programmers of IoT, Embedded and Wearable Devices
published pages: , ISSN: , DOI:
2019-05-14
2018 Think Silicon
Think Silicon® releases GLOVE™, an OpenGL ES over Vulkan middleware as open source
published pages: , ISSN: , DOI:
2019-04-18
2018 Think Silicon
Think Silicon Rollup Banner
published pages: , ISSN: , DOI:
2019-04-18
2018 Think Silicon
NEMA|GUI-Builder User Manual v0.11
published pages: , ISSN: , DOI:
2019-04-18
2018 Think Silicon
Think Silicon Completes Ambitious 2.5 Year Plan with the Successful Finalization of the EU Funded GPU-WEAR Project
published pages: , ISSN: , DOI:
2019-04-18
2017 Think Silicon
NEMA|Bits User Manual
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
Software Development Kit targeting ultra-low power graphics development for wearables and embedded systems(Collateral)
published pages: , ISSN: , DOI:
2019-06-13
2018 Think Silicon
NEMA|pico2.5D GPU for Microcontrollers(Collateral)
published pages: , ISSN: , DOI:
2019-06-13

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GPU-WEAR" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "GPU-WEAR" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

Starcounter (2017)

In-Memory Computing and Artificial Intelligence Platform for Building Next Generation Enterprise Software

Read More  

scanvid (2017)

ScanVid - One-Click Integrated Access to Product-related Digital Content

Read More  

Meshporto_smeIns1_2 (2018)

PsstMenu allows customers to place orders directly from home or restaurant tables using only a smartphone.

Read More