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Bilkent University

Online Academic Catalog

Undergraduate and Graduate Programs 2020-2021


EEE 413 Hardware Acceleration for Machine Learning

A brief review of DNNs and different architectures, SW and HW platforms for neural networks (DNNs), accelerator taxonomy: CPU, GPU, FPGA, ASIC, comparison of hardware platforms, low-power hardware design, custom logic hardware implementation tools, DNN acceleration/optimization techniques on FPGAs/ASICs, systolic arrays, TPU, dataflow types, co-design of DNN hardware and algorithms. Case studies. Review of recent architecture papers. Credit units: 3 ECTS Credit units: 5, Prerequisite: CS 224 or EEE 212.

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