Understanding priority-based scheduling of graph algorithms on a shared-memory platform. - Serif Yesil; Azin Heidarshenas; Adam Morrison 001; Josep Torrellas (SC, 2019)

Snug: architectural support for relaxed concurrent priority queueing in chip multiprocessors. - Azin Heidarshenas; Tanmay Gangwani; Serif Yesil; Adam Morrison 001; Josep Torrellas (ICS, 2020)

V-Combiner: speeding-up iterative graph processing on a shared-memory platform with vertex merging. - Azin Heidarshenas; Serif Yesil; Dimitrios Skarlatos 002; Sasa Misailovic; Adam Morrison 001; Josep Torrellas (ICS, 2020)

Speeding up SpMV for power-law graph analytics by enhancing locality & vectorization. - Serif Yesil; Azin Heidarshenas; Adam Morrison 001; Josep Torrellas (SC, 2020)

Providing Error Detection for Deep Learning Image Classifiers Using Self-Explainability. - Mohammad Mahdi Karimi; Azin Heidarshenas; William W. Edmonson (CoRR, 2022)

WISE: Predicting the Performance of Sparse Matrix Vector Multiplication with Machine Learning. - Serif Yesil; Azin Heidarshenas; Adam Morrison 001; Josep Torrellas (PPoPP, 2023)