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2020 – today
- 2023
[c7]Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
MP-Rec: Hardware-Software Co-design to Enable Multi-path Recommendation. ASPLOS (3) 2023: 449-465- [i11]Samuel Hsia, Udit Gupta, Bilge Acun, Newsha Ardalani, Pan Zhong, Gu-Yeon Wei, David Brooks, Carole-Jean Wu:
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation. CoRR abs/2302.10872 (2023) - [i10]Haiyang Huang, Newsha Ardalani, Anna Sun, Liu Ke, Hsien-Hsin S. Lee, Anjali Sridhar, Shruti Bhosale, Carole-Jean Wu, Benjamin Lee:
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference. CoRR abs/2303.06182 (2023) - 2022
- [c6]Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, Jinshi Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood:
Sustainable AI: Environmental Implications, Challenges and Opportunities. MLSys 2022 - [i9]Ehsan Valavi, Joel Hestness, Newsha Ardalani, Marco Iansiti:
Time and the Value of Data. CoRR abs/2203.09118 (2022) - [i8]Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, Karim R. Lakhani:
Time Dependency, Data Flow, and Competitive Advantage. CoRR abs/2203.09128 (2022) - [i7]Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi:
DataPerf: Benchmarks for Data-Centric AI Development. CoRR abs/2207.10062 (2022) - [i6]Newsha Ardalani, Carole-Jean Wu, Zeliang Chen, Bhargav Bhushanam, Adnan Aziz:
Understanding Scaling Laws for Recommendation Models. CoRR abs/2208.08489 (2022) - [i5]Newsha Ardalani, Saptadeep Pal, Puneet Gupta:
DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems. CoRR abs/2211.03309 (2022) - 2021
- [i4]Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, Bilge Acun, Newsha Ardalani, Kiwan Maeng, Gloria Chang, Fiona Aga Behram, James Huang, Charles Bai, Michael Gschwind, Anurag Gupta, Myle Ott, Anastasia Melnikov, Salvatore Candido, David Brooks, Geeta Chauhan, Benjamin Lee, Hsien-Hsin S. Lee, Bugra Akyildiz, Maximilian Balandat, Joe Spisak, Ravi Jain, Mike Rabbat, Kim M. Hazelwood:
Sustainable AI: Environmental Implications, Challenges and Opportunities. CoRR abs/2111.00364 (2021)
2010 – 2019
- 2019
- [c5]Joel Hestness, Newsha Ardalani, Gregory F. Diamos:
Beyond human-level accuracy: computational challenges in deep learning. PPoPP 2019: 1-14 - [i3]Newsha Ardalani, Urmish Thakker
, Aws Albarghouthi, Karu Sankaralingam:
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning. CoRR abs/1906.07840 (2019) - [i2]Joel Hestness, Newsha Ardalani, Greg Diamos:
Beyond Human-Level Accuracy: Computational Challenges in Deep Learning. CoRR abs/1909.01736 (2019) - 2018
- [c4]Tony Nowatzki, Newsha Ardalani, Karthikeyan Sankaralingam, Jian Weng:
Hybrid optimization/heuristic instruction scheduling for programmable accelerator codesign. PACT 2018: 36:1-36:15 - 2017
- [c3]Tony Nowatzki, Vinay Gangadhar, Newsha Ardalani, Karthikeyan Sankaralingam:
Stream-Dataflow Acceleration. ISCA 2017: 416-429 - [i1]Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory F. Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou:
Deep Learning Scaling is Predictable, Empirically. CoRR abs/1712.00409 (2017) - 2015
- [c2]Newsha Ardalani, Clint Lestourgeon, Karthikeyan Sankaralingam, Xiaojin Zhu:
Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance. MICRO 2015: 725-737
2000 – 2009
- 2009
- [c1]Newsha Ardalani, Amirali Baniasadi:
Write Invalidation Analysis in Chip Multiprocessors. PATMOS 2009: 196-205
Coauthor Index
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last updated on 2023-09-28 03:05 CEST by the dblp team
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