Anand Jayarajan

17 papers A* 2Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents.
CoRR
Kevin Song, Anand Jayarajan, Yaoyao Ding, Qidong Su, Zhanda Zhu, Sihang Liu, Gennady Pekhimenko
2025 — conf
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads.
ASPLOS (1)
Wei Zhao, Anand Jayarajan, Gennady Pekhimenko
2025 J jnl
What Limits Agentic Systems Efficiency?
CoRR
Song Bian, Minghao Yan, Anand Jayarajan, Gennady Pekhimenko, Shivaram Venkataraman
2024 — conf
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data.
MLHC
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
2024 J jnl
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data.
CoRR
Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Danny Eytan, Robert W. Greer, Sebastian D. Goodfellow, Azadeh Assadi, Anand Jayarajan, Anna Goldenberg, Mjaye L. Mazwi
2024 J jnl
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads.
CoRR
Wei Zhao, Anand Jayarajan, Gennady Pekhimenko
2023 — conf
Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators.
USENIX ATC
Chenhao Jiang, Anand Jayarajan, Hao Lu, Gennady Pekhimenko
2023 — conf
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization.
ASPLOS (2)
Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko
2023 J jnl
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization.
CoRR
Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko
2022 — conf
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU.
CHIL
Sana Tonekaboni, Gabriela Morgenshtern, Azadeh Assadi, Aslesha Pokhrel, Xi Huang, Anand Jayarajan, Robert Greer, Gennady Pekhimenko, Melissa D. McCradden, Mjaye Mazwi, Anna Goldenberg
2021 A* conf
FPRaker: A Processing Element For Accelerating Neural Network Training.
MICRO
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
2021 A* conf
LifeStream: a high-performance stream processing engine for periodic streams.
ASPLOS
Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko
2020 J jnl
FPRaker: A Processing Element For Accelerating Neural Network Training.
CoRR
Omar Mohamed Awad, Mostafa Mahmoud, Isak Edo Vivancos, Ali Hadi Zadeh, Ciaran Bannon, Anand Jayarajan, Gennady Pekhimenko, Andreas Moshovos
2020 J jnl
LifeStream: A High-performance Stream Processing Engine for Waveform Data.
CoRR
Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko
2019 — conf
Priority-based Parameter Propagation for Distributed DNN Training.
SysML
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
2019 J jnl
Priority-based Parameter Propagation for Distributed DNN Training.
CoRR
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
2018 — conf
Benchmarking and Analyzing Deep Neural Network Training.
IISWC
Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko