University of Sussex

File(s) not publicly available

Bio-mimetic classification on modern parallel hardware: realizations in NVidia CUDA and OpenMP

journal contribution
posted on 2023-06-07, 21:51 authored by Thomas NowotnyThomas Nowotny, Mehmet K Muezzinoglu, Ramon Huerta
Both the brain and modern digital architectures rely on massive parallelismfor efficient solutions to demanding computational tasks, such as pattern recognition. Inthis paper, we implement a parallel classi cation scheme inspired by the insect brain intwo popular parallel computing frameworks, namely as an NVidiarCUDATMimplemen-tation on a TeslaTMdevice and a brute force OpenMPTMparallel implementation on aquad-core CPU. When evaluating the systems on the MNIST data-set of handwrittendigits, we can report that, compared with a standard serial implementation on a singleCPU core, CUDATMimplementations of the bio-inspired classi cation provide a 7-to-11fold speed-up, whereas the OpenMPTMimplementation is 2-to-4 times faster. Our re-sults are a proof of concept that suggests that modern parallel computing architectures andbio-mimetic algorithms are compatible and that the CUDATMsolution on an NVidiarTeslaTMC870 device at the time of writing has a small edge over an OpenMP solutionon a recent quad core processor (3 GHz AMDrPhenomTMII X4 940)


Publication status

  • Published


International Journal of Innovative Computing, Information and Control





Page range


Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date


Usage metrics

    University of Sussex (Publications)


    No categories selected