The Indigo Program-Verification Microbenchmark Suite of Irregular Parallel Code Patterns. - Yiqian Liu; Noushin Azami; Corbin Walters; Martin Burtscher (ISPASS, 2022)

Compressed In-memory Graphs for Accelerating GPU-based Analytics. - Noushin Azami; Martin Burtscher (IA3@SC, 2022)

Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs. - Yiqian Liu; Noushin Azami; Avery Vanausdal; Martin Burtscher (SC, 2023)

LICO: An Effective, High-Speed, Lossless Compressor for Images. - Noushin Azami; Rain Lawson; Martin Burtscher (DCC, 2024)

Adaptive Per-File Lossless Compression of Floating-Point Data. - Andrew Rodriguez; Noushin Azami; Martin Burtscher (IPDPS (Workshops), 2024)

Indigo3: A Parallel Graph Analytics Benchmark Suite for Exploring Implementation Styles and Common Bugs. - Yiqian Liu; Noushin Azami; Avery Vanausdal; Martin Burtscher (ACM Trans. Parallel Comput., 2024)

Efficient Lossless Compression of Scientific Floating-Point Data on CPUs and GPUs. - Noushin Azami; Alex Fallin; Martin Burtscher (ASPLOS (1), 2025)

Fast and Effective Lossy Compression on GPUs and CPUs with Guaranteed Error Bounds. - Alex Fallin; Noushin Azami; Sheng Di; Franck Cappello; Martin Burtscher (IPDPS, 2025)