Contact Info

George Amvrosiadis
Associate Research Professor
Depts. of Electrical and Computer Engineering and Computer Science

Collaborative Innovation Center 2311
4720 Forbes Ave, Pittsburgh, PA 15213
Email: gamvrosi (at) cmu (dot) edu

About

I am an Assistant Research Professor in the department of Electrical & Computer Engineering at Carnegie Mellon University with a courtesy appointment in Computer Science. I am also a core member of the Parallel Data Lab. I spend part of my time at Amazon S3 as a Visiting Academic.

My current research focuses on distributed and cloud storage, new storage technologies, high performance computing, and storage for machine learning.

For a quick overview of my team's most recent work, check out these links:

• How I Learned to Stop Worrying and Love the Exascale, Microsoft Research
• This Bomb Simulating Supercomputer Broke a World Record, WIRED Magazine
• One framework to rule them all, CMU College of Engineering News
• Handling trillions of supercomputer files just got simpler, Los Alamos National Laboratory
• File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution, The Morning Paper
• PDL receives computing cluster from Los Alamos, CMU College of Engineering News
• Building the Software Infrastructure of the Future, College of Engineering Youtube Channel

For a more in-depth look, check out the Publications section, or for a better grouping, the individual project websites:

• Zoned Storage
• DeltaFS
• ATLAS

Note to prospective Ph.D. students: Feel free to reach out, but I generally have a hard time keeping up with email. If you want to make sure I won't miss your application then: (a) apply through the ECE department, and (b) include my name in the list of faculty you are interested in working with. Best of luck!

Note to current M.Sc. students: If you want to try your hand at research, reach out with your CV and transcript! You can take a look at the project websites listed above to get a taste of what we do, but keep in mind that there might be ongoing projects that are not listed yet.

Students

• Nj Mukherjee
• Jekyeom Jeon
• Hojin Park (with Greg Ganger)
• Ankush Jain
• Michael Kuchnik (with Virginia Smith)

Past students:

• Qing Zheng (with Garth Gibson) → Los Alamos National Lab
• Abutalib Aghayev → Pennsylvania State University

Teaching

• 18-746/15-746 Storage Systems (Fall 2021)
• 18-709/15-719 Advanced Cloud Computing (Spring 2021)
• 18-746/15-746 Storage Systems (Fall 2020)
• 18-709/15-719 Advanced Cloud Computing (Spring 2020)
• 18-746/15-746 Storage Systems (Fall 2019)
• 18-709/15-719 Advanced Cloud Computing (Spring 2019)
• 18-746/15-746 Storage Systems (Fall 2018)
• 18-847B/15-719 Advanced Cloud Computing (Spring 2018)
• 18-746/15-746 Storage Systems (Fall 2017)
• 18-746/15-746 Storage Systems (Fall 2016)

Publications

Full list of publications is available here.

Service

• OSDI 2024, Program Committee
• FAST 2024, Program Committee
• EuroSys 2022, Program Committee
• FAST 2022, Program Committee
• ATC 2021, Program Committee
• SC 2020, Program Committee
• HPDC 2020, Proceedings Chair
• ATC 2020, Program Committee
• MSST 2020, Program Committee
• FAST 2020, Program Committee
• HotStorage '19, Program Committee
• MSST 2019, Program Committee
• ICDCS 2019, Program Committee
• HPDC 2019, Program Committee
• MLCS 2018, Organizing Committee
• SDDCS 2018, Publicity Chair
• SC 2018, Program Committee
• MSST 2017, Program Committee
• ICDCS 2017, Program Committee

Recent Talks

• Thoughts on the Marriage of Systems and ML, Keynote at 2nd Workshop on Machine Learning for Computing Systems, Supercomputing 2020. November 2020.
• Getting Zoned Storage out of the friend zone, Samsung. August 2020.
• In-situ Data Processing and Zoned Storage, University of Toronto. October 2019.
• Data Storage Research Vision 2025, USENIX FAST 2019. February 2019.
• How I Learned to Stop Worrying and Love the Exascale, Los Alamos National Laboratory. August 2018.
• Computing with Exaflops and Other Scary Stories, Veritas. July 2018.
• How I Learned to Stop Worrying and Love the Exascale, Microsoft Research Redmond. June 2018.
• Paving the Way for Exascale Computing, Hewlett-Packard Enterprise. February 2018.
• Unobtrusive Storage Maintenance, Columbia University. September 2017.
• Data Loss: Worse than Zombie Apocalypse?, University of Toronto. April 2016.
• Opportunistic Storage Maintenance, Veritas Research Labs. October 2015.