Santosh Pandey

According to our database, Santosh Pandey authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion.

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

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024

<i>TEA+</i>: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture.

Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu

ACM Trans. Archit. Code Optim., June, 2024

TAO: Re-Thinking DL-based Microarchitecture Simulation.

Santosh Pandey, Amir Yazdanbakhsh, Hang Liu

Proceedings of the Abstracts of the 2024 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2024

2023

TEA: A General-Purpose Temporal Graph Random Walk Engine.

Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.

Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie

Proceedings of the SIGMETRICS/PERFORMANCE '22: ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 6, 2022

Scalable Deep Learning-Based Microarchitecture Simulation on GPUs.

Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Trust: Triangle Counting Reloaded on GPUs.

Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu

IEEE Trans. Parallel Distributed Syst., 2021

E.T.: re-thinking self-attention for transformer models on GPUs.

Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2021

2020

C-SAW: a framework for graph sampling and random walk on GPUs.

Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2020

FTRANS: energy-efficient acceleration of transformers using FPGA.

Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

2019

BlockSIM: A practical simulation tool for optimal network design, stability and planning.

Santosh Pandey, Gopal Ojha, Bikesh Shrestha, Rohit Kumar

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019

H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs.

Santosh Pandey, Xiaoye Sherry Li, Aydin Buluç, Jiejun Xu, Hang Liu

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Deanonymizing Cryptocurrency With Graph Learning: The Promises and Challenges.

Anil Gaihre, Santosh Pandey, Hang Liu

Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2017

Cloud Based Web Scraping for Big Data Applications.

Ram Sharan Chaulagain, Santosh Pandey, Sadhu Ram Basnet, Subarna Shakya

Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017

Distributed High Performance Computing in OpenStack Cloud over SDN Infrastructure.

Sadhu Ram Basnet, Ram Sharan Chaulagain, Santosh Pandey, Subarna Shakya

Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017