LPGPU2
Low-Power Parallel Computing on GPUs 2
Total Cost €
0EC-Contrib. €
0Partnership
0Views
0LPGPU2 project word cloud
Explore the words cloud of the LPGPU2 project. It provides you a very rough idea of what is the project "LPGPU2" about.
Project "LPGPU2" data sheet
The following table provides information about the project.
| Coordinator |
TECHNISCHE UNIVERSITAT BERLIN
Organization address contact info |
| Coordinator Country | Germany [DE] |
| Project website | http://www.lpgpu.org |
| Total cost | 3˙954˙846 € |
| EC max contribution | 2˙975˙786 € (75%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
| Code Call | H2020-ICT-2015 |
| Funding Scheme | IA |
| Starting year | 2016 |
| Duration (year-month-day) | from 2016-01-01 to 2018-09-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | TECHNISCHE UNIVERSITAT BERLIN | DE (BERLIN) | coordinator | 692˙565.00 |
| 2 | SAMSUNG ELECTRONICS (UK) LIMITED | UK (CHERTSEY - SURREY) | participant | 781˙134.00 |
| 3 | CODEPLAY SOFTWARE LIMITED | UK (LONDON) | participant | 674˙275.00 |
| 4 | THINK SILICON EREYNA KAI TECHNOLOGIA ANONYMI ETAIRIA | EL (PLATANI RIO AKHAIAS) | participant | 627˙812.00 |
| 5 | SPIN DIGITAL VIDEO TECHNOLOGIES GMBH | DE (BERLIN) | participant | 200˙000.00 |
Map
Project objective
Low-power GPUs have become ubiquitous, they can be found in domains ranging from wearable and mobile computing, to automotive systems. With this ubiquity has come a wider range of applications exploiting low-power GPUs, placing ever increasing demands on the expected performance and power efficiency of the devices. Future low-power system-on-chips will have to provide higher performance and be able to support more complex applications, without using any additional power.
The strict power limitations means that these demands cannot be met through hardware improvements alone, however, but the software must better exploit the available resources. Unfortunately, programmers are hindered when creating low-power GPU software by the quality of current performance analysis tools. In low-power GPU contexts there is only a minimal amount of performance information, and essentially no power information, available to the programmer. As software becomes more complex it becomes increasingly unmanageable for programmers to optimise the software for low-power devices.
This project proposes to aid the programmer in creating software for low-power GPUs by building on the results of the first LPGPU project to provide a complete performance analysis process for the programmer. This project will address all aspects of performance analysis, from hardware power and performance counters, to a toolchain that processes and visualises information from these counters, to applications that will be used as use-cases to drive the entire design. To access the new hardware performance counters a standardisable API will be produced to interface to a prototype hardware implementation. This will let the analysis and visualisation tool connect to any GPU driver that implements the API. The consortium's expertise will be used not only to drive the initial design of the API and analyses, but also multiple application use-cases will be developed to demonstrate the efficacy of the toolchain.
Deliverables
| First press release | Websites, patent fillings, videos etc. | 2020-02-25 17:07:48 |
| Public Summary | Websites, patent fillings, videos etc. | 2020-02-25 17:07:49 |
| Marketing materials (poster, flyers and document templates, Project web-site, creation of social media accounts, Project logo) | Websites, patent fillings, videos etc. | 2020-02-25 17:07:49 |
| Report on power model for mobile SoCs based on hardware performance counters | Documents, reports | 2020-02-25 17:07:49 |
| Profiling-driven DVFS report | Documents, reports | 2020-02-25 17:07:47 |
| White paper on Tool Validation, Application Optimizations, and GPU Customization | Documents, reports | 2020-02-25 17:07:47 |
| Final Report on Tool Validation, Application Optimizations, and GPU Customization | Documents, reports | 2020-02-25 17:07:48 |
| Final Periodic Report | Documents, reports | 2020-02-25 17:07:48 |
| Industry standard performance monitoring API | Demonstrators, pilots, prototypes | 2020-02-25 17:07:47 |
| Delivering the LPGPU2 tool to the Open Community | Documents, reports | 2020-02-25 17:07:48 |
| Public report on LPGPU2 applications | Documents, reports | 2020-02-25 17:07:47 |
| Final press release | Websites, patent fillings, videos etc. | 2020-02-25 17:07:47 |
Take a look to the deliverables list in detail: detailed list of LPGPU2 deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2017 |
Georgios Keramidas, Graham Mudd, Andrew Richards, Ben Juurlink VENDOR-AGNOSTIC TOOLS FOR ASSESSING GPU PERFORMANCE/POWER published pages: p27, ISSN: , DOI: |
HiPEAC Info 49 | 2020-02-25 |
| 2018 |
Biao Wang, Diego Felix de Souza, Mauricio Alvarez-Mesa, Chi Ching Chi, Ben Juurlink, Aleksandar Ilić, Nuno Roma, Leonel Sousa Highly parallel HEVC decoding for heterogeneous systems with CPU and GPU published pages: 93-105, ISSN: 0923-5965, DOI: 10.1016/j.image.2017.12.009 |
Signal Processing: Image Communication 62 | 2020-02-25 |
| 2018 |
Nadjib Mammeri, Ben Juurlink VComputeBench: A Vulkan Benchmark Suite for GPGPU on Mobile and Embedded GPUs published pages: , ISSN: , DOI: 10.14279/depositonce-7346 |
Proceedings 2018 IEEE International Symposium on Workload Characterization (IISWC) 2018 | 2020-02-25 |
| 2019 |
Sohan Lal, Jan Lucas, Ben Juurlink SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs published pages: , ISSN: , DOI: |
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) 2019 | 2020-02-25 |
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "LPGPU2" 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 "LPGPU2" are provided by the European Opendata Portal: CORDIS opendata.