Srinivasan Ramesh

According to our database, Srinivasan Ramesh authored at least 15 papers between 2017 and 2024.

Collaborative distances:

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

2024

SOMA: Observability, monitoring, and in situ analytics for exascale applications.

Dewi Yokelson, Oskar Lappi, Srinivasan Ramesh, Miikka S. Väisälä, Kevin A. Huck, Touko Puro, Boyana Norris, Maarit J. Korpi-Lagg, Keijo Heljanko, Allen D. Malony

Concurr. Comput. Pract. Exp., August, 2024

Enabling Performance Observability for Heterogeneous HPC Workflows with SOMA.

Dewi Yokelson, Mikhail Titov, Srinivasan Ramesh, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha, Allen D. Malony

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Towards <i>elastic</i> in situ analysis for high-performance computing simulations.

Matthieu Dorier, Zhe Wang, Srinivasan Ramesh, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar

J. Parallel Distributed Comput., July, 2023

2022

SERVIZ: A Shared In Situ Visualization Service.

Srinivasan Ramesh, Hank Childs, Allen D. Malony

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

The Ghost of Performance Reproducibility Past.

Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony

Proceedings of the 18th IEEE International Conference on e-Science, 2022

HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.

Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

SYMBIOSYS: A Methodology for Performance Analysis of Composable HPC Data Services.

Srinivasan Ramesh, Allen D. Malony, Philip H. Carns, Robert B. Ross, Matthieu Dorier, Jérome Soumagne, Shane Snyder

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

SYMBIOMON: A High-Performance, Composable Monitoring Service.

Srinivasan Ramesh, Robert B. Ross, Matthieu Dorier, Allen D. Malony, Philip H. Carns, Kevin A. Huck

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

2019

Understanding the Impact of Dynamic Power Capping on Application Progress.

Srinivasan Ramesh, Swann Perarnau, Sridutt Bhalachandra, Allen D. Malony, Peter H. Beckman

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Towards Runtime Analytics in a Parallel Performance System.

Allen D. Malony, Srinivasan Ramesh, Kevin A. Huck, Chad Wood, Sameer Shende

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

A Plugin Architecture for the TAU Performance System.

Allen D. Malony, Srinivasan Ramesh, Kevin A. Huck, Nicholas Chaimov, Sameer Shende

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU.

Srinivasan Ramesh, Aurèle Mahéo, Sameer Shende, Allen D. Malony, Hari Subramoni, Amit Ruhela, Dhabaleswar K. Panda

Parallel Comput., 2018

2017

Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems.

Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran

CoRR, 2017

MPI performance engineering with the MPI tool interface: the integration of MVAPICH and TAU.

Srinivasan Ramesh, Aurèle Mahéo, Sameer Shende, Allen D. Malony, Hari Subramoni, Dhabaleswar K. Panda

Proceedings of the 24th European MPI Users' Group Meeting, 2017

Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems.

Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran

Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017