Think Silicon @ 14th International Symposium on Applied Reconfigurable Computing (ARC 2018)

TSi@ARC2018_bannerThink Silicon is very pleased to announce its participation at the 14th International Symposium on Applied Reconfigurable Computing (ARC 2018) which is held these days, from the 2nd to 4th of May, at Santorini, Greece. The International Symposium of Applied Reconfigurable Computing (ARC) aims to bring together researchers and practitioners of reconfigurable computing with an emphasis on practical applications of this promising technology. This year's Symposium will have a series of international invited speakers who will express their views on the future of reconfigurable technology.

During this event, Dr. Georgios Keramidas, Chief Scientific Officer of Think Silicon S.A., will give a very interesting presentation about the main challenges that engineers face in deploying neural network applications in ultra-low power devices, which mainly refers to the work performed within the frame of the GPU-WEAR project funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 717850.

Also, the participants had the chance to hear Dr. Keramidas talking about Low-Power Parallel Computing on GPUs, which refers to the work performed within the LPGPU2 project funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688759. Application developers are seriously hindered when creating low-power GPU software by the limited 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. Within this project a complete performance and power analysis process for the programmer has been created to aid the application developer in creating software for low-power GPUs.

Finally, Dr Keramidas made a presentation regarding Technology Transfer via Multinational Application Experiments, which refers to the work currently performed within the TETRAMAX project funded from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 761349. TETRAMAX focuses on the domain of customized low-energy computing within the framework of the European Smart Anything Everywhere (SAE) initiative.

For more information about our activities within the Low-Power and Neural Network domains, please do not hesitate to contact us at info(at)think-silicon.com.