Benchmarking and Analyzing Deep Neural Network Training. - Hongyu Zhu 003; Mohamed Akrout; Bojian Zheng; Andrew Pelegris; Anand Jayarajan; Amar Phanishayee; Bianca Schroeder; Gennady Pekhimenko (IISWC, 2018)

Priority-based Parameter Propagation for Distributed DNN Training. - Anand Jayarajan; Jinliang Wei; Garth Gibson; Alexandra Fedorova; Gennady Pekhimenko (SysML, 2019)

LifeStream: A High-performance Stream Processing Engine for Waveform Data. - Anand Jayarajan; Kimberly Hau; Andrew Goodwin; Gennady Pekhimenko (CoRR, 2020)

LifeStream: a high-performance stream processing engine for periodic streams. - Anand Jayarajan; Kimberly Hau; Andrew Goodwin; Gennady Pekhimenko (ASPLOS, 2021)

FPRaker: A Processing Element For Accelerating Neural Network Training. - Omar Mohamed Awad; Mostafa Mahmoud; Isak Edo; Ali Hadi Zadeh; Ciaran Bannon; Anand Jayarajan; Gennady Pekhimenko; Andreas Moshovos (MICRO, 2021)

How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. - Sana Tonekaboni; Gabriela Morgenshtern; Azadeh Assadi; Aslesha Pokhrel; Xi Huang; Anand Jayarajan; Robert Greer; Gennady Pekhimenko; Melissa D. McCradden; Mjaye Mazwi; Anna Goldenberg (CHIL, 2022)

TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization. - Anand Jayarajan; Wei Zhao 046; Yudi Sun; Gennady Pekhimenko (ASPLOS (2), 2023)

Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators. - Chenhao Jiang; Anand Jayarajan; Hao Lu; Gennady Pekhimenko (USENIX ATC, 2023)

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data. - Sujay Nagaraj; Andrew J. Goodwin; Dmytro Lopushanskyy; Sebastian D. Goodfellow; Danny Eytan; Hadrian Balaci; Robert Greer; Anand Jayarajan; Azadeh Assadi; Mjaye Leslie Mazwi; Anna Goldenberg (MLHC, 2024)

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data. - Sujay Nagaraj; Andrew J. Goodwin; Dmytro Lopushanskyy; Danny Eytan; Robert W. Greer; Sebastian D. Goodfellow; Azadeh Assadi; Anand Jayarajan; Anna Goldenberg; Mjaye L. Mazwi (CoRR, 2024)

Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads. - Wei Zhao 046; Anand Jayarajan; Gennady Pekhimenko (ASPLOS (1), 2025)