Anand Jayarajan

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Neural Network Training

Query Optimization

Stream Processing

Machine Learning Models

Top Venues

USENIX Annual Technical Conference

Publications

Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization. ASPLOS (2) (2023)
Chenhao Jiang, Anand Jayarajan, Hao Lu, Gennady Pekhimenko
Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators. USENIX Annual Technical Conference (2023)
Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization. CoRR (2023)
Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU. CHIL (2022)
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
FPRaker: A Processing Element For Accelerating Neural Network Training. MICRO (2021)
Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko
LifeStream: a high-performance stream processing engine for periodic streams. ASPLOS (2021)
Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko
LifeStream: A High-performance Stream Processing Engine for Waveform Data. CoRR (2020)
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
FPRaker: A Processing Element For Accelerating Neural Network Training. CoRR (2020)
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
Priority-based Parameter Propagation for Distributed DNN Training. MLSys (2019)
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
Priority-based Parameter Propagation for Distributed DNN Training. CoRR (2019)
Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko
Benchmarking and Analyzing Deep Neural Network Training. IISWC (2018)