Derrick Quinn

Ph.D. Student, Computer Systems Laboratory (CSL), Cornell University

Derrick Quinn is a first-year Ph.D. student in the Computer Systems Laboratory (CSL) at the School of Electrical and Computer Engineering, Cornell University, where he is advised by Professor Mohammad Alian. His research interests are centered around algorithm-hardware co-design of distributed and heterogeneous computer systems. Currently, he focuses on semantic retrieval systems leveraging near-data processing techniques for improved efficiency. Derrick's goal is to develop generalized and scalable architectures for AI systems, promoting interoperability, adaptability, and sustainability across diverse computing environments.

Publications

DReX: Accurate and Scalable Dense Retrieval Acceleration via Algorithmic-Hardware Codesign (Accepted at ISCA 2025)

Derrick Quinn*, Emine Ezgi Yücel*, Martin Prammer, Zhenxing Fan, Kevin Skadron, Jignesh Patel, José Martínez, Mohammad Alian.

Accelerating Retrieval-Augmented Generation (ASPLOS 2025)

Derrick Quinn, Mohammad Nouri, Neel Patel, John Salihu, Alireza Salemi, Sukhan Lee, Hamed Zamani, Mohammad Alian.

XFM: Accelerated Software-Defined Far Memory (MICRO 2023)

Neel Patel, Amin Mamandipoor, Derrick Quinn, Mohammad Alian.

*: Indicates equal contribution.