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Distributed Deep Learning System

Cross-listed course, 16:332:579:08, 2023

This is a cross-listed course with the focus of system perspectives in distributed deep learning. The goal of this course is to develop comprehensive and deep understanding of internals of deep learning systems to inspire and foster students’ future research direction. This course covers a wide range of topics of neural network architecture, optimization methods, parallel training paradigms, high-performance computing architecture, and communication algorithms. This course conveys the principles of distributed/parallel system design with the state-of-the-art deep learning progress.

Network Centric Programming

Undergraduate course, 14:332:456:01, 2024

Advanced programming with a focus on developing software for networked systems using Linux as a reference platform. Topics: Programming Tools, Software Design, Environment of a UNIX Process, Memory Allocation, Garbage Collection, Process Control, Process Relationships, Signals, Reliable Signals, Threads, I/O Multiplexing, Datagram and Stream Sockets, Multicasting, Device Driver and Kernel Programming, Secure Programming.

Distributed Deep Learning System

Cross-listed course, 16:332:579:08, 14:332:446:06, 2024

This is a cross-listed course with the focus of system perspectives in distributed deep learning. The goal of this course is to develop comprehensive and deep understanding of internals of deep learning systems to inspire and foster students’ future research direction. This course covers a wide range of topics of neural network architecture, optimization methods, parallel training paradigms, high-performance computing architecture, and communication algorithms. This course conveys the principles of distributed/parallel system design with the state-of-the-art deep learning progress.