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ORCIDVijay Anand Korthikanti
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Books and Theses
- 2011
[b1]Vijay Anand Korthikanti:
Towards energy-performance trade-off analysis of parallel applications. University of Illinois Urbana-Champaign, USA, 2011
Journal Articles
- 2011
- [j1]Vijay Anand Korthikanti, Gul Agha:
Energy-performance trade-off analysis of parallel algorithms for shared memory architectures. Sustain. Comput. Informatics Syst. 1(3): 167-176 (2011)
Conference and Workshop Papers
- 2023
- [c11]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) 2023: 11844-11857 - [c10]Vijay Anand Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro:
Reducing Activation Recomputation in Large Transformer Models. MLSys 2023 - 2021
- [c9]Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia
:
Efficient large-scale language model training on GPU clusters using megatron-LM. SC 2021: 58 - 2011
- [c8]Vijay Anand Korthikanti, Gul Agha, Mark R. Greenstreet:
On the Energy Complexity of Parallel Algorithms. ICPP 2011: 562-570 - [c7]Sumit Gulwani, Vijay Anand Korthikanti, Ashish Tiwari:
Synthesizing geometry constructions. PLDI 2011: 50-61 - [c6]Rohit Chadha, Vijay Anand Korthikanti, Mahesh Viswanathan, Gul Agha, YoungMin Kwon:
Model Checking MDPs with a Unique Compact Invariant Set of Distributions. QEST 2011: 121-130 - 2010
- [c5]Vijay Anand Korthikanti, Gul Agha:
Avoiding energy wastage in parallel applications. Green Computing Conference 2010: 149-163 - [c4]Vijay Anand Korthikanti, Mahesh Viswanathan, Gul Agha, YoungMin Kwon:
Reasoning about MDPs as Transformers of Probability Distributions. QEST 2010: 199-208 - [c3]Vijay Anand Korthikanti, Gul Agha:
Towards optimizing energy costs of algorithms for shared memory architectures. SPAA 2010: 157-165 - 2009
- [c2]Vijay Anand Korthikanti, Gul Agha:
Analysis of Parallel Algorithms for Energy Conservation in Scalable Multicore Architectures. ICPP 2009: 212-219 - 2008
- [c1]Vijay Anand Reddy, Prateek Mittal, Indranil Gupta:
Fair K Mutual Exclusion Algorithm for Peer to Peer Systems. ICDCS 2008: 655-662
Informal and Other Publications
- 2024
- [i5]Roger Waleffe, Wonmin Byeon, Duncan Riach, Brandon Norick, Vijay Korthikanti, Tri Dao, Albert Gu, Ali Hatamizadeh, Sudhakar Singh, Deepak Narayanan, Garvit Kulshreshtha, Vartika Singh, Jared Casper, Jan Kautz, Mohammad Shoeybi, Bryan Catanzaro:
An Empirical Study of Mamba-based Language Models. CoRR abs/2406.07887 (2024) - 2023
- [i4]Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar:
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR abs/2302.04858 (2023) - 2022
- [i3]Shaden Smith, Mostofa Patwary, Brandon Norick, Patrick LeGresley, Samyam Rajbhandari, Jared Casper, Zhun Liu, Shrimai Prabhumoye, George Zerveas, Vijay Korthikanti, Elton Zheng, Rewon Child, Reza Yazdani Aminabadi, Julie Bernauer, Xia Song, Mohammad Shoeybi, Yuxiong He, Michael Houston, Saurabh Tiwary, Bryan Catanzaro:
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. CoRR abs/2201.11990 (2022) - [i2]Vijay Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro:
Reducing Activation Recomputation in Large Transformer Models. CoRR abs/2205.05198 (2022) - 2021
- [i1]Deepak Narayanan, Mohammad Shoeybi, Jared Casper, Patrick LeGresley, Mostofa Patwary, Vijay Korthikanti, Dmitri Vainbrand, Prethvi Kashinkunti, Julie Bernauer, Bryan Catanzaro, Amar Phanishayee, Matei Zaharia:
Efficient Large-Scale Language Model Training on GPU Clusters. CoRR abs/2104.04473 (2021)
Coauthor Index
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