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Anand Jayarajan
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2020 – today
- 2025
[c9]Wei Zhao
, Anand Jayarajan
, Gennady Pekhimenko
:
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads. ASPLOS (1) 2025: 1052-1068
[i8]Kevin Song, Anand Jayarajan, Yaoyao Ding, Qidong Su, Zhanda Zhu, Sihang Liu, Gennady Pekhimenko:
Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents. CoRR abs/2508.19504 (2025)
[i7]Song Bian, Minghao Yan, Anand Jayarajan, Gennady Pekhimenko, Shivaram Venkataraman:
What Limits Agentic Systems Efficiency? CoRR abs/2510.16276 (2025)- 2024
[c8]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:
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data. MLHC 2024
[i6]Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Danny Eytan, Robert W. Greer, Sebastian D. Goodfellow, Azadeh Assadi, Anand Jayarajan, Anna Goldenberg, Mjaye L. Mazwi:
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data. CoRR abs/2409.00041 (2024)
[i5]Wei Zhao, Anand Jayarajan, Gennady Pekhimenko:
Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads. CoRR abs/2410.07381 (2024)- 2023
[c7]Anand Jayarajan
, Wei Zhao
, Yudi Sun, Gennady Pekhimenko:
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization. ASPLOS (2) 2023: 818-832
[c6]Chenhao Jiang, Anand Jayarajan, Hao Lu, Gennady Pekhimenko:
Arbitor: A Numerically Accurate Hardware Emulation Tool for DNN Accelerators. USENIX ATC 2023: 519-536
[i4]Anand Jayarajan, Wei Zhao, Yudi Sun, Gennady Pekhimenko:
TiLT: A Time-Centric Approach for Stream Query Optimization and Parallelization. CoRR abs/2301.12030 (2023)- 2022
[c5]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: 169-182- 2021
[c4]Anand Jayarajan
, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko:
LifeStream: a high-performance stream processing engine for periodic streams. ASPLOS 2021: 107-122
[c3]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: 857-869- 2020
[i3]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 abs/2010.08065 (2020)
[i2]Anand Jayarajan, Kimberly Hau, Andrew Goodwin, Gennady Pekhimenko:
LifeStream: A High-performance Stream Processing Engine for Waveform Data. CoRR abs/2012.00192 (2020)
2010 – 2019
- 2019
[c2]Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko:
Priority-based Parameter Propagation for Distributed DNN Training. SysML 2019
[i1]Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko:
Priority-based Parameter Propagation for Distributed DNN Training. CoRR abs/1905.03960 (2019)- 2018
[c1]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: 88-100
Coauthor Index

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last updated on 2025-11-17 00:04 CET by the dblp team
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