ATM: Approximate Task Memoization in the Runtime System. - Iulian Brumar; Marc Casas; Miquel Moretó; Mateo Valero; Gurindar S. Sohi (IPDPS, 2017)

Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM. - Brian Plancher; Camelia D. Brumar; Iulian Brumar; Lillian Pentecost; Saketh Rama; David Brooks 001 (HPEC, 2019)

Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain Specific Hardware Acceleration. - Georgios Zacharopoulos; Adel Ejjeh; Ying Jing; En-Yu Yang; Tianyu Jia; Iulian Brumar; Jeremy Intan; Muhammad Huzaifa; Sarita V. Adve; Vikram S. Adve; Gu-Yeon Wei; David Brooks 001 (CoRR, 2022)

Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration. - Georgios Zacharopoulos; Adel Ejjeh; Ying Jing; En-Yu Yang; Tianyu Jia; Iulian Brumar; Jeremy Intan; Muhammad Huzaifa; Sarita V. Adve; Vikram S. Adve; Gu-Yeon Wei; David Brooks 001 (ACM Trans. Embed. Comput. Syst., 2023)

Early DSE and Automatic Generation of Coarse-grained Merged Accelerators. - Iulian Brumar; Georgios Zacharopoulos; Yuan Yao 006; Saketh Rama; David Brooks 001; Gu-Yeon Wei (ACM Trans. Embed. Comput. Syst., 2023)

Guac: Energy-Aware and SSA-Based Generation of Coarse-Grained Merged Accelerators from LLVM-IR. - Iulian Brumar; Rodrigo Rocha; Alex Bernat; Devashree Tripathy; David Brooks 001; Gu-Yeon Wei (CoRR, 2024)