I am a second year PhD student at the department of Computer Science at the University of Toronto. I am advised by Prof. Gennady Pekhimenko. I primarily focus on the area of systems research. My research interests include stream processing, systems for machine learning, and distributed/parallel computing.

Before joining University of Toronto, I graduated with MSc in Computer Science from University of British Columbia under the supervision of Prof. Alexandra Fedorova and Prof. Ivan Beschastnikh. Before that, I obtained B.Tech in Computer Science and Engineering from National Institute of Technology Calicut.

Recent News

• [Nov 2020] LifeStream paper accepted at ASPLOS 2021.
• [Dec 2019] Paper accepted for SOSP Student Research Competition 2019.
• [Nov 2018] P3 paper accepted at MLSys 2019.

Publications

• [ASPLOS ‘21] LifeStream: A High-performance Stream Processing Engine for Periodic Streams
  Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko
  About to appear at the 26th International Conference on Architectural Support for Programming Languages and Operating Systems 2021.

• [SOSP SRC ’19] DNN Training Performance Analysis: A Divide and Conquer Approach
  Anand Jayarajan, Gennady Pekhimenko
  In SOSP Student Research Competition 2019.

• [MLSys ‘19] Priority-based Parameter Propagation for Distributed DNN Training
  Anand Jayarajan, Jinliang Wei, Garth A. Gibson, Alexandra Fedorova, Gennady Pekhimenko
  In Proceedings of the 2nd Conference on Machine Learning and Systems 2019.
• [IISWC ’18] Benchmarking and Analyzing Deep Neural Network Training
  Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko
  In Proceedings of the IEEE International Symposium on Workload Characterization 2018.