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ORCIDDaya Shanker Khudia
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2020 – today
- 2022
[c8]Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. IEEE Big Data 2022: 1556-1563- 2021
- [j2]Zhaoxia Deng
, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. IEEE Micro 41(5): 93-100 (2021) - [i4]Daya Shanker Khudia, Jianyu Huang, Protonu Basu, Summer Deng, Haixin Liu, Jongsoo Park, Mikhail Smelyanskiy:
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference. CoRR abs/2101.05615 (2021) - [i3]Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen:
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. CoRR abs/2103.00130 (2021) - [i2]Zhaoxia Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie Yang, Hector Yuen, Jianyu Huang, Daya Shanker Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Nadathur Satish, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy:
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale. CoRR abs/2105.12676 (2021)
2010 – 2019
- 2018
- [i1]Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy:
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR abs/1811.09886 (2018) - 2016
- [j1]Daya Shanker Khudia, Babak Zamirai, Mehrzad Samadi, Scott A. Mahlke:
Quality Control for Approximate Accelerators by Error Prediction. IEEE Des. Test 33(1): 43-50 (2016) - [c7]Biruk Mammo, Milind Furia, Valeria Bertacco, Scott A. Mahlke, Daya Shanker Khudia:
BugMD: automatic mismatch diagnosis for bug triaging. ICCAD 2016: 117 - 2015
- [b1]Daya Shanker Khudia:
Dependable Computing on Inexact Hardware through Anomaly Detection. University of Michigan, USA, 2015 - [c6]Daya Shanker Khudia, Babak Zamirai, Mehrzad Samadi, Scott A. Mahlke:
Rumba: an online quality management system for approximate computing. ISCA 2015: 554-566 - 2014
- [c5]Daya Shanker Khudia, Scott A. Mahlke:
Harnessing Soft Computations for Low-Budget Fault Tolerance. MICRO 2014: 319-330 - 2013
- [c4]Daya Shanker Khudia, Scott A. Mahlke:
Low cost control flow protection using abstract control signatures. LCTES 2013: 3-12 - [c3]Jongsoo Park, Richard M. Yoo, Daya Shanker Khudia, Christopher J. Hughes, Daehyun Kim:
Location-aware cache management for many-core processors with deep cache hierarchy. SC 2013: 20:1-20:12 - 2012
- [c2]Daya Shanker Khudia, Griffin Wright, Scott A. Mahlke:
Efficient soft error protection for commodity embedded microprocessors using profile information. LCTES 2012: 99-108 - 2011
- [c1]Andrew DeOrio, Daya Shanker Khudia, Valeria Bertacco:
Post-silicon bug diagnosis with inconsistent executions. ICCAD 2011: 755-761
Coauthor Index
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