Santosh Pandey

Orcid: 0000-0002-3528-6868

Affiliations:
  • University of South Florida, Bellini College of Artificial Intelligence, Cybersecurity and Computing, Tampa, FL, USA
  • Rutgers University, New Brunswick, NJ, USA (PhD 2025)


According to our database1, Santosh Pandey authored at least 15 papers between 2017 and 2025.

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Bibliography

2025
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion.
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.
ACM Trans. Archit. Code Optim., June, 2024

TAO: Re-Thinking DL-based Microarchitecture Simulation.
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.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.
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.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021
Trust: Triangle Counting Reloaded on GPUs.
IEEE Trans. Parallel Distributed Syst., 2021

E.T.: re-thinking self-attention for transformer models on GPUs.
Proceedings of the International Conference for High Performance Computing, 2021

2020
C-SAW: a framework for graph sampling and random walk on GPUs.
Proceedings of the International Conference for High Performance Computing, 2020

FTRANS: energy-efficient acceleration of transformers using FPGA.
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.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019

H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Deanonymizing Cryptocurrency With Graph Learning: The Promises and Challenges.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2017
Cloud Based Web Scraping for Big Data Applications.
Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017

Distributed High Performance Computing in OpenStack Cloud over SDN Infrastructure.
Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017


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