Energy proportional binarized neural networks with adaptive voltage and frequency scaling

Peter Heywood
University of Sheffield
May 23, 2018 - 13:00 to 14:00
Conference room

Oxford e-Research Centre, 7 Keble Road, Oxford, OX1 3QG

  • No booking required
  • Open to all
  • Many-Core Series
  • Lunch provided

The Oxford e-Research Centre welcomes Peter Heywood to give a talk in our Many-core seminar series. The talk is entitled 'Accelerating Road Network Simulations using GPUs'. 


Abstract

Road network Simulations are a vital tool used in the planning and management of transport network infrastructure. Large-scale simulations are computationally expensive tasks, taking many-hours for a single simulation to complete using multi-core CPU architectures, hindering the use of large-scale simulations.
Using Graphics Processing Units (GPUs) we demonstrate that both Macroscopic (top-down) simulations and Microscopic (bottom-up) simulations can be considerably accelerated using many-core architectures and novel fine-grained data-parallel algorithms.
A multi-GPU version of the SATURN macroscopic road network simulation package has been developed, demonstrating assignment performance improvements of over 11x compared to a multi-socket CPU. A FLAME GPU based microscopic simulation demonstrates performance improvements of up to 65x using a single GPU compared to the commercial multi-core micro-simulation tool Aimsun.

About our speaker

Peter Heywood is a Research Software Engineer and PhD candidate at the University of Sheffield. His research is focussed on using Graphics Processing Units (GPUs) to improve the performance of complex systems simulations; including transport network simulation and biological cellular simulations. Peter has presented his work at multiple international conferences and recently published his work in the Simulation Modelling Practice and Theory Journal.