Eliot H. Solomon

About

My name is Eliot, and I'm a PhD student in the Computer Science Department at Carnegie Mellon University, advised by Dimitrios Skarlatos and Todd C. Mowry. My research focuses on operating systems, particularly ones that will allow for huge improvements in GPU utilization through better support for multitenancy. At CMU, I'm a member of the CAOS group and the Parallel Data Lab.

I was born in San Francisco, grew up in Buffalo, NY, and received my BS and MS in Computer Science from Rice University in Houston. At Rice, I was fortunate to work with Alan L. Cox and Luay Nakhleh on OS-level memory management and bioinformatics, respectively.

For more detailed information about me, my CV can be found here (last updated 5/2025), and I also have a profile on LinkedIn.

My email is ehsolomo [AT] cs.cmu.edu. Feel free to reach out!

Education

Carnegie Mellon University
PhD in Computer Science (expected May 2029)
Advisors: Dimitrios Skarlatos and Todd C. Mowry

Rice University
MS in Computer Science (August 2024)
Thesis: Effective Techniques for Managing Intermediate-Sized Superpages
Advisor: Alan L. Cox

Rice University
BS in Computer Science (May 2023)
GPA: 3.98/4.00, summa cum laude
Specialization: Computer Systems

Publications

Patrick H. Coppock, Brian Zhang, Eliot H. Solomon, Vasilis Kypriotis, Leon Yang, Bikash Sharma, Dan Schatzberg, Todd C. Mowry, and Dimitrios Skarlatos. 2025. "LithOS: An Operating System for Efficient Machine Learning on GPUs." [arXiv]
Eliot H. Solomon, Yufeng Zhou, and Alan L. Cox. 2023. "An Empirical Evaluation of PTE Coalescing." In The International Symposium on Memory Systems (MEMSYS '23), October 2–5, 2023, Alexandria, VA, USA. ACM, New York, NY, USA. [DOI] [preprint]

Work

Oracle Labs, Oracle Corporation (May 2025 – August 2025)
Research Assistant — Redwood Shores, CA

Working on memory management techniques for dense multitenant application runtimes as a part of the GraalOS team

Research

CAOS Group, Computer Science Department, Carnegie Mellon University (August 2024 – present)
Research Assistant — Pittsburgh, PA

Developing novel memory oversubscription and kernel-granularity right-sizing mechanisms and policies for a GPU operating system

RiceArch Group, Department of Computer Science, Rice University (May 2021 – August 2024)
Research Assistant — Houston, TX

Implemented transparent 64 KB superpage support into FreeBSD on ARM CPUs, achieving a 15.67% speedup on a compilation-heavy workload and upstreaming multiple new patches to mainline FreeBSD, and collected empirical performance counter data to investigate the PTE Coalescing feature of AMD's Zen microarchitecture

Bioinformatics Group, Department of Computer Science, Rice University (May 2020 – December 2020)
Research Assistant — Remote

Evaluated statistical methods for inferring evolutionary networks from genetic data using a computational pipeline built using 2000+ lines of Python code

Teaching

COMP 614, Rice University (Fall 2023)
Head Teaching Assistant — Houston, TX

Introductory programming for 60+ Master of Data Science students

COMP 321, Rice University (Fall 2022, Spring 2023)
Head Teaching Assistant — Houston, TX

Introductory computer systems course for 210+ undergraduates

COMP 182, Rice University (Spring 2021, Spring 2022)
Teaching Assistant — Houston, TX

Introductory discrete math and algorithms class for 300 undergraduates

COMP 215, Rice University (Fall 2021)
Teaching Assistant — Houston, TX

Object-oriented programming and design class for 200+ undergraduates

MCS Bootcamp, Rice University (Summer 2020)
Teaching Assistant — Houston, TX

Discrete math for incoming Rice Master of Computer Science students

Service

Computer Science Department, Carnegie Mellon University (October 2024 – present)
PhD Student Council Member — Pittsburgh, PA

Helped run the department's mentorship program for first-year PhD students

School of Computer Science, Carnegie Mellon University (October 2024 – present)
Mentor, Graduate Application Support Program — Pittsburgh, PA

Provided feedback on application materials for under-resourced and/or underrepresented prospective CS PhD students

Office of Admission, Rice University (October 2024 – present)
Alumni Interviewer — Remote

Conducted interviews of prospective undergraduate students to assess interests, communication skills, and cultural fit