LPGPU2 are attending HiPEAC 2017

LPGPU2 will be attending the 12th annual HiPEAC conference which will be held on the 23rd-25th January at the Waterfront Congress Centre in Stockholm, Sweden. Representing LPGPU2 at this years conference will be Prof. Ben Juurlink, Professor for Embedded Systems Architectures, TU Berlin. Prof Ben Juurlink will be taking part in the PEGPUM: Power-Efficient GPU and heterogeneous Multi-/Many-core Computing workshop on the 24th January – 10.00am – 17.30pm in Room 27, Waterfront Congress Centre giving an update on the LPGPU2 Project.


‘Power efficiency is increasingly important for modern embedded and real-time systems. Heterogeneous systems featuring Multicores, GPUs and FPGAs provide the opportunity to achieve low power consumption. There are several projects within Horizon 2020 that deal with these challenges. LPGPU2 assists the application developer in creating software for low-power GPUs. The project addresses all aspects of performance and power analysis, from hardware power and performance counters, a framework that processes and visualizes performance and power data, to applications.The scientific approach of these projects focuses on modern embedded systems that combine heterogeneity, power efficiency and real-time features. This workshop is a first step towards a closer cooperation between these Horizon 2020 projects’.


‘The HiPEAC conference is the premier European forum for experts in computer architecture, programming models, compilers and operating systems for embedded and general-purpose systems.Associated workshops, tutorials, special sessions, several large poster session and an industrial exhibition will run in parallel with the conference.The three day event attracts about 600 delegates each year’. More information on the conference can be found here: HiPEAC 2017


We are always delighted to speak with anyone attending the event who is interested in what we are doing, so if you are attending, please come and say “hello”.

Codeplay Accelerates Machine Learning with SYCL and TensorFlow

Machine learning is being adopted by more and more companies for a wide range of artificial intelligence applications such as image recognition and self-driving vehicles. Machine learning involves running large data sets through a software program in order to train the software to build its intelligence. One of the biggest challenges facing developers building software that incorporates machine learning is in processing the huge amounts of data required for training their programs. By using GPUs, developers can vastly increase the amount of data that can be processed whilst also reducing the overall power consumption by running calculations in parallel.

Working within the EU Horizon 2020-funded LPGPU2 project, Codeplay has made key contributions to the open source TensorFlow project, adding OpenCL™ support through the SYCL™ open standard. OpenCL provides a framework for developers to write software that executes across heterogeneous platforms such as GPUs. TensorFlow, a Google-led project, is one of the most popular machine learning frameworks, specializing in computation using data flow graphs with a focus on machine learning. TensorFlow uses the Eigen C++ library for linear algebra and, by offloading parts of Eigen to OpenCL devices, it is possible to accelerate training for the neural networks built by TensorFlow as well as reduce the power usage of applications.

ComputeCpp, Codeplay’s implementation of SYCL, offers a C++ single-source heterogeneous programming model layer on top of OpenCL. SYCL provides an abstraction layer that simplifies parallel development, giving developers access to the computing power of GPUs and reducing the amount of code required. Developers will be able to use ComputeCpp to take advantage of OpenCL and accelerate their TensorFlow applications through use of GPUs that are capable of processing thousands of calculations in parallel. This will enable them to build huge neural networks, speed up training and execution of complex neural network models and reduce power consumption.

Find out more about the Codeplay ComputeCpp SDK.

Spin Digital presents a H.265/HEVC media player with HDR at IBC 2016

Spin Digital Video Technologies GmbH demonstrated at IBC 2016 an end-to-end HDR HEVC/H.265 software solution for ultra-high definition video (4K, 8K, and beyond).  A demonstration was presented at the Amsterdam RAI at Hall 1 Booth 1.F11. Using the HDR-enabled video codec it is possible to encode, decode, and display high quality HDR video using a software solution running on PC platforms.

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hipeac.ee8834089c88The “Power-Efficient GPU and heterogeneous Multi-/Many-core Computing” (PEGPUM) workshop has been accepted for inclusion in the HiPEAC event in 2017. The workshop will be held on January 24, 2017 in Stockholm, Sweden, co-located with the HiPEAC conference (https://www.hipeac.net/2017/stockholm/). This will be the 5th PEGPUM workshop, after PEGPUM 2013, PEGPUM 2014, PEGPUM 2015, and PEGPUM 2016. Previous editions of PEGPUM were organized by the LPGPU and LPGPU2 consortia. Next year’s editions will be co-organized with four other European projects targeted at improving the power efficiency of GPUs and heterogeneous multi-/many-core systems: Tulipp, SAFEPOWER, Hercules, and Eyes of Things. Stay tuned for more information!

f2f meeting in Athens

lpgpu_athensThe LPGPU2 consortium had a very successful face-to-face meeting in Athens on June 15 and June 16, 2016. The main topic was the design and implementation of the power analysis, visualization, and improvement framework. Present at the meeting were Ben Juurlink and Jan Lucas from TUB, Andrew Richards, Luke Iwanski, Mehdi Goli from Codeplay, Georgios Keramidas, Iakovos Stamoulis, Mixalis Koziotis, and Panagiotis Apostolou from Think Silicon, Graham Mudd, Philip Harmer, and Prashant Sharma from Samsung, and Mauricio Alvarez-Mesa from Spin Digital.

Paper accepted at MASCOTS 2016

The paper “ALUPower: Data Dependent Power Consumption in GPUs” by Jan Lucas and Ben Juurlink has been accepted at MASCOTS 2016. It describes in detail how data values influence the power consumption of GPUs and how the power consumption can be modeled.

The MASCOTS conference is a well-established forum for state-of-the-art research on the measurement, modeling, and performance analysis of computer systems and networks. The 24th edition of this conference will take place September 21-23, 2016 in Imperial College Campus, London. The conference will bring together academics and industry practitioners to present and discuss their latest research results. The technical program for the 3-day conference will include keynote talks, refereed full and work-in-progress papers.

More information can be found at: san.ee.ic.ac.uk/mascots2016/

Spin Digital released a world’s first 8K HEVC/H.265 media player

Berlin, June 2nd 2016: Spin Digital has released a complete software media player supporting 8K HEVC video and 22.2 audio. A demonstration has been presented recently at several international events including NAB in Las Vegas (April 18-21), the “After NAB” show in Tokyo (May 19-20), and the NHK Open House in Tokyo (May 26-29).

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Spin Digital joins LPGPU2

Spin Digital Video Technologies GmbH (Spin Digital), a German company specialized in high-performance video codecs for the next generation of high-quality video applications, has joined LPGPU2, an EU consortium composed of technology companies and universities collaborating on tools for low-power parallel computing using GPUs.

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LPGPU2 Project publishes its first press release!

Press Release

LPGPU2 kicks off in Prague on January 21-22, 2016.

lpgpu2pragueThe LPGPU2 consortium had a very productive kick-off meeting in Prague on January 21-22, 2016, immediately after the HiPEAC conference. Clockwise from left to right Marco Starace (Samsung), Philip Harmer (Samsung), Prashant Sharma (Samsung), Mehdi Goli (Codeplay), Andrew Richards (Codeplay), Jan Lukas (TU Berlin), Luke Iwanski (Codeplay), Iakovos Stamoulis (Think Silicon), Georgios Keramidas (Think Silicon), Mauricio Alvarez-Mesa (TU Berlin / Spin Digital). Not in the picture but also present were the project coordinator Ben Juurlink (TU Berlin), since he took the photo, and Kit Lam (Samsung), who was probably getting coffee or tea.