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Baolin Li
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2020 – today
- 2024
- [c27]Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Sprout: Green Generative AI with Carbon-Efficient LLM Inference. EMNLP 2024: 21799-21813 - [c26]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. IPDPS 2024: 337-349 - [i15]Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. CoRR abs/2402.18593 (2024) - [i14]Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference. CoRR abs/2403.12900 (2024) - [i13]Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
LLM Inference Serving: Survey of Recent Advances and Opportunities. CoRR abs/2407.12391 (2024) - [i12]Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari:
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing. CoRR abs/2409.02085 (2024) - 2023
- [j25]Wei Wang, Baolin Li, Shuangyan Liu, Zon-Han Wei:
Bifurcation analysis and nonlinear dynamics of a rolling magnet multistable electromagnetic energy harvester. Commun. Nonlinear Sci. Numer. Simul. 118: 107027 (2023) - [j24]Lili Xu
, Tianyu Chen, Baolin Li, Yecheng Yuan
Spatiotemporal Evolution of Arid Ecosystems Using Thematic Land Cover Products. Remote. Sens. 15(12): 3178 (2023) - [c25]Dan Zhao
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. SoCC 2023: 588-596 - [c24]Baolin Li
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. HPDC 2023: 3-16 - [c23]Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC 2023: 1-9 - [c22]Baolin Li
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. SC 2023: 19:1-19:15 - [c21]Baolin Li
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. SC 2023: 20:1-20:15 - [i11]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning. CoRR abs/2304.09781 (2023) - [i10]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems. CoRR abs/2306.13177 (2023) - [i9]Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR abs/2310.03003 (2023) - [i8]Zijie Huang, Baolin Li, Hafez Asgharzadeh, Anne Cocos, Lingyi Liu, Evan Cox, Colby Wise, Sudarshan Lamkhede:
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks. CoRR abs/2312.04071 (2023) - 2022
- [j23]Baolin Li, Lihua Yang, Jie Qian:
A new multi-criteria decision-making method utilizing power heronian operators with picture hesitant fuzzy information. J. Intell. Fuzzy Syst. 42(3): 2287-2308 (2022) - [j22]Dechao Zhai
Driving Climatic Factors at Critical Plant Developmental Stages for Qinghai-Tibet Plateau Alpine Grassland Productivity. Remote. Sens. 14(7): 1564 (2022) - [j21]Yecheng Yuan, Baolin Li, Xizhang Gao, Wei Liu, Ying Li, Rui Li:
Validation of Cloud-Gap-Filled Snow Cover of MODIS Daily Cloud-Free Snow Cover Products on the Qinghai-Tibetan Plateau. Remote. Sens. 14(22): 5642 (2022) - [c20]Baolin Li, Tirthak Patel
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. SoCC 2022: 173-189 - [c19]Adnan Maruf
Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? DATE 2022: 352-357 - [c18]Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. HPCA 2022: 1224-1237 - [c17]Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. HPEC 2022: 1-8 - [c16]Baolin Li, Tirthak Patel
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters. HPEC 2022: 1-7 - [c15]Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas
The MIT Supercloud Workload Classification Challenge. IPDPS Workshops 2022: 708-714 - [c14]Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari:
Characterizing Multi-Instance GPU for Machine Learning Workloads. IPDPS Workshops 2022: 724-731 - [c13]Baolin Li, Wenke Gao, Wei Zhang, Zhicheng Dong:
Remaining useful life prediction of rolling bearing based on ensemble learning. M2VIP 2022: 1-7 - [c12]Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. NAACL-HLT (Findings) 2022: 1962-1970 - [i7]Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. CoRR abs/2201.12423 (2022) - [i6]Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
The MIT Supercloud Workload Classification Challenge. CoRR abs/2204.05839 (2022) - [i5]Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. CoRR abs/2205.09646 (2022) - [i4]Baolin Li, Tirthak Patel
Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters. CoRR abs/2207.11428 (2022) - [i3]Baolin Li, Rohan Basu Roy, Tirthak Patel
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances. CoRR abs/2207.11434 (2022) - [i2]Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Building Heterogeneous Cloud System for Machine Learning Inference. CoRR abs/2210.05889 (2022) - 2021
- [j20]Baolin Li
Power Improved Generalized Heronian Mean Operators Utilizing Hamacher Operations with Picture Fuzzy Information. Complex. 2021: 6261229:1-6261229:25 (2021) - [j19]Yecheng Yuan, Baolin Li, Wanli Yu, Xizhang Gao:
Estimation and mapping of soil organic matter content at a national scale based on grid soil samples, a soil map and DEM data. Ecol. Informatics 66: 101487 (2021) - [j18]Yangyang Di, Enyuan Wang
Method for EMR and AE interference signal identification in coal rock mining based on recurrent neural networks. Earth Sci. Informatics 14(3): 1521-1536 (2021) - [j17]Ronghua Duan, Baolin Li, Jun Wu, Wei Huang, Dichen Liu, Chen Wu, Min Cheng, Chang Liu:
An optimization approach for primary frequency regulation reserve capacity considering frequency deviation for sending end of asynchronous interconnection system. J. Comput. Methods Sci. Eng. 21(1): 197-212 (2021) - [j16]Baolin Li, Lihua Yang:
Hamacher heronian mean operators for multi-critria decision-making under multi-valued picture fuzzy uncertain lingsuitic environment. J. Intell. Fuzzy Syst. 41(1): 1531-1552 (2021) - [c11]Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari:
Serving Machine Learning Inference Using Heterogeneous Hardware. HPEC 2021: 1-8 - [c10]Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas
The MIT Supercloud Dataset. HPEC 2021: 1-8 - [c9]Baolin Li, Rohan Basu Roy, Tirthak Patel
RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances. SC 2021: 24 - [i1]Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. CoRR abs/2108.02037 (2021) - 2020
- [j15]Lihua Yang
Multiple-Valued Neutrosophic Uncertain Linguistic Sets With Dombi Normalized Weighted Bonferroni Mean Operator and Their Applications in Multiple Attribute Decision Making Problem. IEEE Access 8: 5906-5927 (2020) - [j14]Lihua Yang
Multiple-Valued Picture Fuzzy Linguistic Set Based on Generalized Heronian Mean Operators and Their Applications in Multiple Attribute Decision Making. IEEE Access 8: 86272-86295 (2020) - [j13]Jun Wu, Xiangyu Xing
Cyber-Enabled Intelligence Control and Security Optimization for Complex Microgrid Networks Transient Frequency Stability Analysis of Power Systems considering Photovoltaic Grid Connection. Complex. 2020: 5641596:1-5641596:10 (2020) - [j12]Jun Wu, Baolin Li, Jun Chen, Qinghui Lou, Xiangyu Xing, Xuedong Zhu:
Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power. Complex. 2020: 8820332:1-8820332:13 (2020) - [c8]Tirthak Patel
Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications. SC 2020: 46 - [c7]Tirthak Patel
UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers. USENIX ATC 2020: 705-711
2010 – 2019
- 2019
- [c6]Yi Yang, Baolin Li, Jian Hu:
A Heuristic Hybrid Recommended Order Modle. ICCSE 2019: 460-465 - 2018
- [j11]Shoujun Zhou
The line- and block-like structures extraction via ingenious snake. Pattern Recognit. Lett. 112: 324-331 (2018) - [c5]Dexian Wang, Ping Deng, Chunlin He, Baolin Li, Rui Liu:
A Latent Factor Model Based on Elastic Network for Recommender Systems. BDET 2018: 78-86 - 2017
- [j10]Haide Gou, Baolin Li:
Local and global existence of mild solution to impulsive fractional semilinear integro-differential equation with noncompact semigroup. Commun. Nonlinear Sci. Numer. Simul. 42: 204-214 (2017) - [j9]Baolin Li
Duration adaptation modulates EEG correlates of subsequent temporal encoding. NeuroImage 147: 143-151 (2017) - 2016
- [j8]Ting Ma
Quantitative Estimation of the Velocity of Urbanization in China Using Nighttime Luminosity Data. Remote. Sens. 8(2): 94 (2016) - [j7]Lili Xu, Baolin Li, Yecheng Yuan, Xizhang Gao, Tao Zhang
Detecting Different Types of Directional Land Cover Changes Using MODIS NDVI Time Series Dataset. Remote. Sens. 8(6): 495 (2016) - 2015
- [j6]Lili Xu, Baolin Li, Yecheng Yuan, Xizhang Gao, Tao Zhang
A Temporal-Spatial Iteration Method to Reconstruct NDVI Time Series Datasets. Remote. Sens. 7(7): 8906-8924 (2015) - [c4]Lili Xu, Baolin Li, Yecheng Yuan, Tao Zhang
A novel method to reconstruct normalized difference vegetation index time series based on temporal-spatial iteration estimation. IGARSS 2015: 1654-1657 - [c3]Tao Zhang
Estimation of precipitation in remote areas using B-SHADE model. IGARSS 2015: 1741-1744 - 2011
- [c2]Jiangpeng Fan, Baolin Li, Yan Zhang:
Finite Element Analysis of Crankshaft by ABAQUS. ICDMA 2011: 545-548 - 2010
- [j5]Tao Pei, Chenghu Zhou, A-Xing Zhu, Baolin Li, Chengzhi Qin
Windowed nearest neighbour method for mining spatio-temporal clusters in the presence of noise. Int. J. Geogr. Inf. Sci. 24(6): 925-948 (2010)
2000 – 2009
- 2009
- [j4]Tao Pei, A-Xing Zhu, Chenghu Zhou, Baolin Li, Chengzhi Qin
Detecting feature from spatial point processes using Collective Nearest Neighbor. Comput. Environ. Urban Syst. 33(6): 435-447 (2009) - 2007
- [j3]Tao Pei, A-Xing Zhu, Chenghu Zhou, Baolin Li, Chengzhi Qin
Delineation of support domain of feature in the presence of noise. Comput. Geosci. 33(7): 952-965 (2007) - [c1]Qing Li, Zhishu Li, Gang Liang, Jingyu Zhang, Liangyin Chen, Baolin Li:
IDGSC: An Immunity-Based Approach for Dynamic Grid Service Classification. FSKD (2) 2007: 160-165 - 2006
- [j2]Tao Pei, A-Xing Zhu, Chenghu Zhou, Baolin Li, Chengzhi Qin
A new approach to the nearest-neighbour method to discover cluster features in overlaid spatial point processes. Int. J. Geogr. Inf. Sci. 20(2): 153-168 (2006) - 2002
- [j1]Zengtai Gong, Congxin Wu, Baolin Li:
On the problem of characterizing derivatives for the fuzzy-valued functions. Fuzzy Sets Syst. 127(3): 315-322 (2002)
Coauthor Index
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last updated on 2024-11-15 20:35 CET by the dblp team
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