Author Archives: Martyn Bliss

Berlin F2F Oct 2016

Image © TUB 2017

The LPGPU2 consortium had another very successful face-to-face meeting in Berlin on October 25 and October 26, 2016.

Most of the time was spent reviewing presentations from all beneficiaries on their current status and upcoming plans and deliverables. It also provided a welcome opportunity for everyone to meet the new members of the LPGPU2 team.

Present at the meeting were Ben Juurlink  Jan Lucas, Sohan Lal and Nadjib Mammeri  from TUB, Simon Brand, Luke Iwanski, and Mehdi Goli from Codeplay, Georgios Keramidas, and Ignacio Aransay from Think Silicon,  Prashant Sharma, Albert Saa-Garriga, and Martyn Bliss from Samsung, and Mauricio Alvarez-Mesa from Spin Digital.

 

EU H2020 Info Day – LPGPU2 twice mentioned as an exemplary project

The LPGPU2 project was mentioned twice as a project example par excellence at the H2020 Info Day on December 2, 2016 (https://ec.europa.eu/digital-single-market/en/news/h2020-info-day-factories-future-12-ict-5-and-ict-31-ict-innovation-manufacturing-smes-i4ms).

It was first mentioned in the presentation by Sandro d’Elia from the European Commission, who coordinates the call on “Customised and low energy computing (including Low power processor technologies)” and who is also Project Officer of the LPGPU2 project. Additionally LPGPU2 was mentioned as an exemplary project in the presentation by Prof. Koen de Bosschere from the University of Gent, who is the coordinator of the HiPEAC network (www.hipeac.net), the European network of excellence in the area of high-performance and embedded computer architecture and compilation.

Biagio Cosenza who was present for TU Berlin (the project coordinators for the LPGPU2 project) found he had an easier time introducing himself to the public due to the visibility given to the project by the previous references.

Computer vision demos from Codeplay

Check out https://youtu.be/Et__c9pa5TE for demonstrations of Codeplay’s VisionCpp library, which has been funded in part by LPGPU2. VisionCpp allows computer vision application developers to write all of their code in C++ and have it aggressively optimised at compile time through kernel fusion and expression templates. Codeplay’s implementation of SYCL – ComputeCpp – enables acceleration of the application on GPU devices, giving you both expressibility in the source code and real-time performance. See the project on GitHub if you would like to give it a try:

https://github.com/codeplaysoftware/visioncpp

 

 

LPGPU2 YouTube channel is live!

Everyone check out the LPGPU2 YouTube channel at: https://www.youtube.com/channel/UCDVYThdvn8gwNj0FdzpH1hw

We are now live and featuring a video of the power simulator developed by TUB in the LPGPU project:

Power measurement testbed designed by TUB to accurately measure the power consumption of discrete GPUs under EU funded LPGPU project. The testbed was used to validate the GPU power simulator which was also developed under LPGPU project.

More content coming soon!

LPGPU2 PEGPUM 2016 Presentation

Prof. Ben Juurlink, Professor for Embedded Systems Architectures, TU Berlin gave an update on the progress of LPGPU2 at the 2016 PEGPUM workshop / HiPEAC 2017. For more details please see: lpgpu2-pegpum-public

By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close