Browsing Tetherless World Publications by Author "Magdon-Ismail, Malik"

Now showing items 1-2 of 2

    • Efficient Classification of Supercomputer Failures Using Neuromorphic Computing 

      Date, Prasanna; Carothers, Christopher D.; Hendler, James A.; Magdon-Ismail, Malik (IEEE, 2018)
      Today's petascale supercomputers are comprised of ten's of thousands of compute nodes. Failures on these massive machines are a growing problem as the time for a single compute node to fail is shrinking. Ideally, the job ...

    • Training Deep Neural Networks with Constrained Learning Parameters 

      Date, Prasanna; Carothers, Christopher D.; Mitchell, John E.; Hendler, James A.; Magdon-Ismail, Malik (arXiv, 2020-12)
      Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing to double precision floating point learning ...