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VEE 2017
Sat 8 - Sun 9 April 2017 Xi'an, China
Sat 8 Apr 2017 15:00 - 15:30 at Zhu Que Room - GPUs, FPGAs, etc Chair(s): David Chisnall

Real-time 3D space understanding is becoming prevalent across a wide range of applications and hardware platforms. In order to meet the desired Quality of Service (QoS), computer vision applications tend to be heavily parallelized and exploit any available hardware accelerators. Current approaches in achieving real-time computer vision, evolve around programming languages typically associated with High Performance Computing along with binding extensions for OpenCL or CUDA execution.

Such implementations, although high performing, lack portability across the wide range of diverse hardware resources and accelerators. In this paper, we showcase how a complex computer vision application can be implemented within a managed runtime system. We discuss the complexities of achieving high-performing and portable execution across embedded and desktop configurations. Furthermore, we demonstrate that it is possible to achieve the QoS target of over 30 frames per second (FPS) by exploiting FPGA and GPGPU acceleration transparently through the managed runtime system.

Presentation Slides (CKotselidis_HeteroMREs_VEE_2017.pdf)2.73MiB

Sat 8 Apr

vee-2017-Session-2
14:00 - 15:30: Session 2 - GPUs, FPGAs, etc at Zhu Que Room
Chair(s): David ChisnallUniversity of Cambridge
vee-2017-Session-214:00 - 14:30
Talk
Anshuj GargIndian Institute of Technology, Bombay, Debadatta MishraIndian Institute of Technology, Bombay, Purushottam KulkarniIndian Institute of Technology, Bombay
File Attached
vee-2017-Session-214:30 - 15:00
Talk
Juan FumeroThe University of Edinburgh, Michel SteuwerThe University of Edinburgh, Lukas StadlerOracle Labs, Austria, Christophe DubachUniversity of Edinburgh
Link to publication
vee-2017-Session-215:00 - 15:30
Talk
Christos KotselidisThe University of Manchester, James ClarksonThe University of Manchester, Andrey RodchenkoThe University of Manchester, Andy NisbetThe University of Manchester, John MawerThe University of Manchester, Mikel Lujan
File Attached