Matthew Giordano
Ph.D. Student of Computer Science at the University of Washington
Advised by: Tom Anderson, Baris Kasikci
Interests: Operating Systems, Architecture, FPGAs
Email: mgiordan@cs.washington.edu
Hi! I'm a second year Ph.D. Student in the Syslab group at the University of Washington's Computer Science & Engineering department. I like to work on Architecture and Operating Systems; specifically, I'm interested in the boundary between software and hardware, like understanding how systems principles apply to architecture and how architecture should or should not influence system design. These ideas generally take the form of projects enabling higher cloud computing efficiency. I'm currently supported by an NSF Graduate Research Fellowship.
I completed my undergraduate studies at The University of Texas at Austin, where I was a member of the Turing Scholars Honors Program. During my time, I researched FPGAs as parts of heterogenous systems with Christopher J. Rossbach. I also researched cache replacement and prefetching algorithms with Calvin Lin. I graduated High Honors in 2023 with a B.S. in Computer Science, Honors.
Outside of research, I like playing ultimate frisbee, racing in go-karts, and following Houston sports.
Publications
-
Apiary: An OS for the Modern FPGA
Katie Lim, Matthew Giordano, Irene Zhang, Baris Kasikci, Thomas Anderson.
HotOS 2025 (to appear) -
Beehive: A Flexible Network Stack for Direct-Attached Accelerators
[pdf]
Katie Lim, Matthew Giordano, Theano Stavrinos, Irene Zhang, Jacob Nelson, Baris Kasikci, Thomas Anderson.
Micro 2024 -
(Please Build) an Accelerator Zoo
[pdf]
Katie Lim, Matthew Giordano, Jonathan Balkind.
LATTE 2024 -
Reconfigurable Virtual Memory for FPGA-Driven I/O
[pdf]
Joshua Landgraf, Matthew Giordano, Esther Yoon, Christopher J. Rossbach.
ASPLOS 2023 -
Excavator: Accelerating Graph Pattern Mining on FPGAs
[pdf]
Honors Thesis -
Large-scale analysis of acquired chromosomal alterations in non-tumor samples from patients with cancer
[link]
Y. A. Jakubek, K. Chang, S. Sivakumar, Y. Yu, M. R. Giordano, J. Fowler, C. D. Huff, H. Kadara, E. Vilar, P. Scheet.
Nat Biotechnol. 2020.
Awards
- Best Poster Award (AI in the Cloud Workshop @ UW)
- NSF Graduate Research Fellowship (2023)
- Dean’s Honored Graduate, Distinction in Research, UT Austin College of Natural Sciences (2023)
- UT Austin College of Natural Sciences High Honors (2023)
- Phi Beta Kappa (2023)
- UT Austin College of Natural Sciences College Scholar (2023, 2022, 2021)
- Turing Scholar (2019-2023)
Teaching Experience
| Institution | Semester/Quarter | Course Title | Role | Course Number |
|---|---|---|---|---|
| UW | Spring 2025 | Concurrency | Course Creator | WIP |
| UW | Spring 2024 | Operating Systems | Teaching Assistant | CSE 451 |
| UT Austin | Spring 2023 | Computer Architecture & Organization: Honors | Teaching Assistant | CS 429h |
| UT Austin | Fall 2022 | Data Structures/Algorithms-Web Based | Head Teaching Assistant | DSC 395T |
| UT Austin | Summer 2022 | Data Structures/Algorithms-Web Based | Head Teaching Assistant | DSC 395T |
| UT Austin | Spring 2022 | Data Structures/Algorithms-Web Based | Head Teaching Assistant | DSC 395T |
| UT Austin | Fall 2021 | Data Structures/Algorithms-Web Based | Course Co-creator | DSC 395T |
Industry Experience
- Sandia National Laboratories, Nondestructive Eval Intern (Summer 2022)
- Sandia National Laboratories, TITANS Center for Cyber Defenders Intern (Summer 2021)
- Vectra AI, Intern (Summer 2020)
- MD Anderson Cancer Center, Department of Epidemiology, Research Intern (Summer 2018)