Deliverables
This report will contain a description of the power model developed in T4.2, the microbenchmark suite and the power measurement testbed from T4.1. It will also provide insight into the capabilities of the various performance counters for power estimation. The report will also provide an evaluation of the power estimation tool. The power consumption of applications will be measured using the testbed and compared to the estimates provided by the tool
Public report on LPGPU2 applications. This report will describe the public part of the applications optimizations in T3.1, T3.4, T3.5, and T3.6.
This report will summarize the profile driven DVFS algorithm
This deliverable will report the outcome of the tool validation phase. All the tasks that are active in the last semester of the project (T7.3, T7.4, and T7.5) will contribute to this deliverable
This deliverable will be prepared as part of Task 7.7. It will contain instructions to download (and install) the LPGPU2 tool from a public repository. In addition, it will include a part in the form of application note about best-practices of the tool’s usage.
White paper on Tool Validation, Application Optimizations, and GPU Customization. This deliverable will prepare the material from D7.2 as a white paper, to ensure wider dissemination.
Final Report of the LPGPU2 project
Final press release
Initial press release
Marketing materials (poster, flyers and document templates, Project web-site, creation of social media accounts, Project logo)
A 4-page public summary of the project targeted at the general public
This deliverable will contain a proposed definition of performance monitoring APIs as part of Khronos standards, including OpenGL ES and OpenCL
Searching for OpenAIRE data...
Publications
Author(s): Jan Lucas, Sohan Lal, Ben Juurlink
Published in: 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018, 2018, Page(s) 1063-1068, ISBN 978-3-9819263-0-9
Publisher: IEEE
DOI: 10.23919/DATE.2018.8342169
Author(s): Ben Juurlink, Jan Lucas, Nadjib Mammeri, Georgios Keramidas, Katerina Pontzolkova, Ignacio Aransay, Chrysa Kokkala, Martyn Bliss, Andrew Richards
Published in: 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2017, 2017, Page(s) 1-6, ISBN 978-1-5386-3534-6
Publisher: IEEE
DOI: 10.1109/DASIP.2017.8122116
Author(s): Ben Juurlink, Jan Lucas, Nadjib Mammeri, Martyn Bliss, Georgios Keramidas, Chrysa Kokkala, Andrew Richards
Published in: Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems - SCOPES '17, 2017, 2017, Page(s) 76-80, ISBN 9781-450350396
Publisher: ACM Press
DOI: 10.1145/3078659.3078672
Author(s): Sohan Lal, Jan Lucas, Ben Juurlink
Published in: 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2017, 2017, Page(s) 1119-1128, ISBN 978-1-5386-3914-6
Publisher: IEEE
DOI: 10.1109/IPDPS.2017.101
Author(s): Nadjib Mammeri, Ben Juurlink
Published in: Proceedings 2018 IEEE International Symposium on Workload Characterization (IISWC), 2018, 2018
Publisher: IEEE
DOI: 10.14279/depositonce-7346
Author(s): Sohan Lal, Jan Lucas, Ben Juurlink
Published in: 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019, 2019
Publisher: IEEE
Author(s): Biao Wang, Diego Felix de Souza, Mauricio Alvarez-Mesa, Chi Ching Chi, Ben Juurlink, Aleksandar Ilić, Nuno Roma, Leonel Sousa
Published in: Signal Processing: Image Communication, 62, 2018, Page(s) 93-105, ISSN 0923-5965
Publisher: Elsevier BV
DOI: 10.1016/j.image.2017.12.009
Author(s): Georgios Keramidas, Graham Mudd, Andrew Richards, Ben Juurlink
Published in: HiPEAC Info, 49, 2017, Page(s) p27
Publisher: HiPEAC