Tagged with: deep learning frameworks


PROPOSAL

A data science infrastructure orchestrates the execution of widely used machine learning frameworks (e.g., TensorFlow , PyTorch) on a heterogeneous set of processing units (e.g., CPU, GPU, TPU, FPGA) …
Supervisor: Pınar Tözün
Semester: Fall 2020
Tags: benchmarking, hardware resource consumption, deep learning frameworks