Imperial College London

Dr James J. Davis

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Associate
 
 
 
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Contact

 

james.davis06 Website

 
 
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Location

 

906Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

James Davis is a Research Associate in the Department of Electrical and Electronic Engineering's Circuits and Systems group at Imperial College London. He is currently a partner of the EPSRC-funded PRiME project.

You can find James on Google Scholar and connect with him on LinkedIn.

His research interests include:

  • Runtime monitoring of digital electronic hardware
  • Computer arithmetic
  • Fault tolerance, reliability and lifetime extension
  • Self-adaptive systems
  • Reconfigurable computing
  • Heterogeneous and embedded systems.

James serves on the technical programme committees of the four top-tier reconfigurable computing conferences (FPGA, FCCM, FPL and FPT) and is an IEEE Best Paper Award recipient. He is a Member of the IEEE and ACM.

Publications

Conference

Li H, Davis JJ, Wickerson J, et al., Digit Elision for Arbitrary-accuracy Iterative Computation, IEEE Symposium on Computer Arithmetic (ARITH) 2018, IEEE

Zhao R, Liu S, Ng H, et al., Hardware Compilation of Deep Neural Networks: An Overview (invited), IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) 2018, IEEE

Wang E, Davis JJ, Cheung P, A PYNQ-based Framework for Rapid CNN Prototyping, IEEE Symposium on Field-programmable Custom Computing Machines (FCCM) 2018, IEEE

Bragg G, Leech C, Balsamo D, et al., 2018, An Application- and Platform-agnostic Control and Monitoring Framework for Multicore Systems, International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS) 2018, SciTePress, Pages:57-66

Davis JJ, Levine J, Stott E, et al., 2018, KOCL: Kernel-level Power Estimation for Arbitrary FPGA-SoC-accelerated OpenCL Applications, International Workshop on OpenCL (IWOCL) 2018, ACM

More Publications