Distributed High Performance Computing in OpenStack Cloud over SDN Infrastructure. - Sadhu Ram Basnet; Ram Sharan Chaulagain; Santosh Pandey 001; Subarna Shakya (SmartCloud, 2017)

Cloud Based Web Scraping for Big Data Applications. - Ram Sharan Chaulagain; Santosh Pandey 001; Sadhu Ram Basnet; Subarna Shakya (SmartCloud, 2017)

Deanonymizing Cryptocurrency With Graph Learning: The Promises and Challenges. - Anil Gaihre; Santosh Pandey 001; Hang Liu 001 (CNS, 2019)

H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs. - Santosh Pandey 001; Xiaoye Sherry Li; Aydin Buluç; Jiejun Xu; Hang Liu 001 (HPEC, 2019)

BlockSIM: A practical simulation tool for optimal network design, stability and planning. - Santosh Pandey 001; Gopal Ojha; Bikesh Shrestha; Rohit Kumar (IEEE ICBC, 2019)

FTRANS: energy-efficient acceleration of transformers using FPGA. - Bingbing Li; Santosh Pandey 001; Haowen Fang; Yanjun Lyv; Ji Li 006; Jieyang Chen; Mimi Xie; Lipeng Wan 001; Hang Liu 001; Caiwen Ding (ISLPED, 2020)

C-SAW: a framework for graph sampling and random walk on GPUs. - Santosh Pandey 001; Lingda Li; Adolfy Hoisie; Xiaoye S. Li; Hang Liu 001 (SC, 2020)

E.T.: re-thinking self-attention for transformer models on GPUs. - Shiyang Chen 004; Shaoyi Huang; Santosh Pandey 001; Bingbing Li; Guang R. Gao; Long Zheng 001; Caiwen Ding; Hang Liu 001 (SC, 2021)

Trust: Triangle Counting Reloaded on GPUs. - Santosh Pandey 001; Zhibin Wang 002; Sheng Zhong 002; Chen Tian 001; Bolong Zheng; Xiaoye S. Li; Lingda Li; Adolfy Hoisie; Caiwen Ding; Dong Li 001; Hang Liu 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Scalable Deep Learning-Based Microarchitecture Simulation on GPUs. - Santosh Pandey 001; Lingda Li; Thomas Flynn 001; Adolfy Hoisie; Hang Liu 001 (SC, 2022)

SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. - Lingda Li; Santosh Pandey 001; Thomas Flynn 001; Hang Liu 001; Noel Wheeler; Adolfy Hoisie (SIGMETRICS (Abstracts), 2022)

TEA: A General-Purpose Temporal Graph Random Walk Engine. - Chengying Huan; Shuaiwen Leon Song; Santosh Pandey 001; Hang Liu 001; Yongchao Liu 004; Baptiste Lepers; Changhua He; Kang Chen; Jinlei Jiang; Yongwei Wu 001 (EuroSys, 2023)

TAO: Re-Thinking DL-based Microarchitecture Simulation. - Santosh Pandey 001; Amir Yazdanbakhsh; Hang Liu 001 (SIGMETRICS/Performance (Abstracts), 2024)

TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. - Chengying Huan; Yongchao Liu 004; Heng Zhang 005; Shuaiwen Song; Santosh Pandey 001; Shiyang Chen 004; Xiangfei Fang; Yue Jin; Baptiste Lepers; Yanjun Wu; Hang Liu 001 (ACM Trans. Archit. Code Optim., 2024)

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 001; Parthasarathy Ranganathan; Amir Yazdanbakhsh (ISCA, 2025)