Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
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.