Suraj P. Kesavan

According to our database, Suraj P. Kesavan authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

TinyProf: Towards Continuous Performance Introspection through Scalable Parallel I/O.

Ke Fan, Suraj P. Kesavan, Steve Petruzza, Sidharth Kumar

Proceedings of the ISC High Performance 2024 Research Paper Proceedings (39th International Conference), 2024

Data Movement Visualized: A Unified Framework for Tracking and Visualizing Data Movements in Heterogeneous Architectures.

Suraj P. Kesavan, Harsh Bhatia, Keshav Dasu, Olga Pearce, Kwan-Liu Ma

Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

2023

Scalable Comparative Visualization of Ensembles of Call Graphs.

Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma

IEEE Trans. Vis. Comput. Graph., March, 2023

Visual Analytics Techniques for Investigating Large-Scale HPC Profiles and Trace Data

Suraj P. Kesavan

PhD thesis, 2023

2022

PERMAVOST'22 Discussion Panel: Domain Scientists vs. Performance Analysis Tools: Advancing in HPC.

Radita Liem, Connor Scully-Allison, Ana Veroneze Solorzano, Kristopher Keipert, Rafael Ferreira da Silva, Suraj P. Kesavan, Tirthak Patel

Proceedings of the PERMAVOST@HPDC 2022: Proceedings of the 2nd Workshop on Performance EngineeRing, 2022

2021

Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow.

Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj P. Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, Peer-Timo Bremer

IEEE Trans. Vis. Comput. Graph., 2021

2020

Scalable Comparative Visualization of Ensembles of Call Graphs.

Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma

CoRR, 2020

A Visual Analytics Framework for Reviewing Streaming Performance Data.

Suraj P. Kesavan, Takanori Fujiwara, Jianping Kelvin Li, Caitlin Ross, Misbah Mubarak, Christopher D. Carothers, Robert B. Ross, Kwan-Liu Ma

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020