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ORCIDDivya Kiran Kadiyala
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2020 – today
- 2024
[c2]Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis:
Leveraging Memory Expansion to Accelerate Large-Scale DL Training. ISPASS 2024: 292-294- [i2]Devashish Vikas Gupta, Azeez Syed Ali Ishaqui, Divya Kiran Kadiyala:
Geode: A Zero-shot Geospatial Question-Answering Agent with Explicit Reasoning and Precise Spatio-Temporal Retrieval. CoRR abs/2407.11014 (2024) - 2023
- [c1]Anirudh Jain, Divya Kiran Kadiyala, Alexandros Daglis:
Safety Hints for HTM Capacity Abort Mitigation. HPCA 2023: 206-219 - 2022
- [i1]Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Rajeshkumar Bambhaniya
, Tushar Krishna, Alexandros Daglis:
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training. CoRR abs/2211.16648 (2022)
2010 – 2019
- 2019
- [j2]Lawrence T. Clark, Sai Bharadwaj Medapuram, Divya Kiran Kadiyala, John S. Brunhaver:
Physically Unclonable Functions Using Foundry SRAM Cells. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(3): 955-966 (2019) - 2018
- [j1]Lawrence T. Clark, Sai Bharadwaj Medapuram, Divya Kiran Kadiyala:
SRAM Circuits for True Random Number Generation Using Intrinsic Bit Instability. IEEE Trans. Very Large Scale Integr. Syst. 26(10): 2027-2037 (2018)
Coauthor Index
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