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ORCIDSantosh Pandey 0001
Person information
- affiliation: University of South Florida, Bellini College of Artificial Intelligence, Cybersecurity and Computing, Tampa, FL, USA
- affiliation (PhD 2025): Rutgers University, New Brunswick, NJ, USA
Other persons with the same name
- Santosh Pandey — disambiguation page
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2020 – today
- 2025
[j5]Haolin Jiang, Santosh Pandey
, Hang Liu:
A Comprehensive Survey of Subgraph Matching: [Experiments & Analysis]. Proc. ACM Manag. Data 3(6): 1-30 (2025)- [c13]Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee, Hanna Alam, Brett W. Coon, David E. Culler, Vidushi Dadu, Martin Dixon, Henry M. Levy, Santosh Pandey, Parthasarathy Ranganathan, Amir Yazdanbakhsh:
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion. ISCA 2025: 1480-1494 - [i6]Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee, Hanna Alam, Brett W. Coon, David E. Culler, Vidushi Dadu, Martin Dixon, Henry M. Levy, Santosh Pandey, Parthasarathy Ranganathan, Amir Yazdanbakhsh:
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion. CoRR abs/2503.23076 (2025) - 2024
- [j4]Santosh Pandey, Amir Yazdanbakhsh, Hang Liu:
TAO: Re-Thinking DL-based Microarchitecture Simulation. Proc. ACM Meas. Anal. Comput. Syst. 8(2): 28:1-28:25 (2024) - [j3]Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu:
TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21(2): 37 (2024) - [c12]Santosh Pandey, Amir Yazdanbakhsh, Hang Liu:
TAO: Re-Thinking DL-based Microarchitecture Simulation. SIGMETRICS/Performance (Abstracts) 2024: 23-24 - [i5]Santosh Pandey, Amir Yazdanbakhsh, Hang Liu:
Tao: Re-Thinking DL-based Microarchitecture Simulation. CoRR abs/2404.10921 (2024) - 2023
- [c11]Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu:
TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys 2023: 182-198 - 2022
- [j2]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 25:1-25:24 (2022) - [c10]Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu:
Scalable Deep Learning-Based Microarchitecture Simulation on GPUs. SC 2022: 79:1-79:15 - [c9]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. SIGMETRICS (Abstracts) 2022: 67-68 - 2021
- [j1]Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu:
Trust: Triangle Counting Reloaded on GPUs. IEEE Trans. Parallel Distributed Syst. 32(11): 2646-2660 (2021) - [c8]Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu:
E.T.: re-thinking self-attention for transformer models on GPUs. SC 2021: 25 - [i4]Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu:
TRUST: Triangle Counting Reloaded on GPUs. CoRR abs/2103.08053 (2021) - [i3]Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie:
SimNet: Computer Architecture Simulation using Machine Learning. CoRR abs/2105.05821 (2021) - 2020
- [c7]Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED 2020: 175-180 - [c6]Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu:
C-SAW: a framework for graph sampling and random walk on GPUs. SC 2020: 56 - [i2]Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. CoRR abs/2007.08563 (2020) - [i1]Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu:
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs. CoRR abs/2009.09103 (2020)
2010 – 2019
- 2019
- [c5]Anil Gaihre, Santosh Pandey, Hang Liu:
Deanonymizing Cryptocurrency With Graph Learning: The Promises and Challenges. CNS 2019: 1-3 - [c4]Santosh Pandey, Xiaoye Sherry Li, Aydin Buluç, Jiejun Xu, Hang Liu:
H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs. HPEC 2019: 1-7 - [c3]Santosh Pandey, Gopal Ojha, Bikesh Shrestha, Rohit Kumar:
BlockSIM: A practical simulation tool for optimal network design, stability and planning. IEEE ICBC 2019: 133-137 - 2017
- [c2]Ram Sharan Chaulagain, Santosh Pandey, Sadhu Ram Basnet, Subarna Shakya:
Cloud Based Web Scraping for Big Data Applications. SmartCloud 2017: 138-143 - [c1]Sadhu Ram Basnet, Ram Sharan Chaulagain, Santosh Pandey, Subarna Shakya:
Distributed High Performance Computing in OpenStack Cloud over SDN Infrastructure. SmartCloud 2017: 144-148
Coauthor Index
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