Now showing items 1-3 of 3

    • An experimental study of reduced-voltage operation in modern FPGAs for neural network acceleration 

      Salami, Behzad; Onural, Erhan Baturay; Yuksel, Ismail Emir; Koc, Fahrettin; Ergin, Oguz; Cristal Kestelman, Adrián; Unsal, Osman Sabri; Sarbazi-Azad, Hamid; Mutlu, Onur (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field ...
    • Demonstrating reduced-voltage FPGA-based neural network acceleration for power-efficiency 

      Onural, Erhan Baturay; Yuksel, Ismail Emir; Salami, Behzad (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference lecture
      Open Access
      This demo aims to demonstrate undervolting below the nominal level set by the vendor for off-the-shelf FPGAs running Deep Neural Networks (DNNs), to achieve power-efficiency. FPGAs are becoming popular [1-4], thanks to ...
    • MoRS: An approximate fault modelling framework for reduced-voltage SRAMs 

      Yuksel, Ismail Emir; Salami, Behzad; Ergin, Oguz; Unsal, Osman Sabri; Cristal Kestelman, Adrián (2022-06)
      Article
      Open Access
      On-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g, GPUs, FPGAs, ASICs to achieve high performance. Modern workloads such as Deep ...