Hi! I'm a fourth year Ph.D. Student in the Syslab/SyFI 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 cross-stack optimizations permiate through the OS and microarchitecture. These ideas generally take the form of projects enabling higher cloud computing efficiency, and lately leverage AI. 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

• Presage: Prefetch Search via Agent-Guided Experiments [link]
  Matthew Giordano, Parthasarathy Ranganathan, Baris Kasikci, Akanksha Jain.
  Under Submission
• A Characterization of Google Workload Traces [pdf]
  Matthew Giordano, Akanksha Jain, Enrico Deiana, Derek Bruening, Abhinav Sharma, Ibrahim Hur, Parthasarathy Ranganathan, Thomas Anderson, Baris Kasikci.
  IISWC 2026
• Finding NEMO: Nimble and Expressive Memory Observability [pdf]
  Shihang Li*, Matthew Giordano*, Tushar Garg, Rohan Kadekodi, Daniel S. Berger, Baris Kasikci, Thomas Anderson, Simon Peter.
  OSDI 2026 *Equal Contribution
• Apiary: An OS for the Modern FPGA [pdf]
  Katie Lim, Matthew Giordano, Irene Zhang, Baris Kasikci, Thomas Anderson.
  HotOS 2025
• 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

Industry Experience

• Google Student Researcher (Summer 2026)
• 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)