Srinivasan Ramesh

18 papers A 3B 3C 1Misc 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Preparing the TAU performance system for exascale and beyond.
Int. J. High Perform. Comput. Appl.
Kevin A. Huck, Sameer Shende, Allen D. Malony, Camille Coti, Wyatt Spear, Jordi Alcaraz, Dewi Yokelson, Srinivasan Ramesh, Mohammad Alaul Haque Monil, Chad Wood, Nicholas Chaimov, Cameron Durbin, Alister Johnson, Jacob Lambert, Izaak Beekman
2024 B conf
Enabling Performance Observability for Heterogeneous HPC Workflows with SOMA.
ICPP
Dewi Yokelson, Mikhail Titov, Srinivasan Ramesh, Ozgur O. Kilic, Matteo Turilli, Shantenu Jha, Allen D. Malony
2024 J jnl
SOMA: Observability, monitoring, and in situ analytics for exascale applications.
Concurr. Comput. Pract. Exp.
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
2023 J jnl
Towards
J. Parallel Distributed Comput.
Matthieu Dorier, Zhe Wang, Srinivasan Ramesh, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar
2022 C conf
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
CLUSTER
Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
2022 J jnl
HPC Storage Service Autotuning Using Variational-Autoencoder-Guided Asynchronous Bayesian Optimization.
CoRR
Matthieu Dorier, Romain Egele, Prasanna Balaprakash, Jaehoon Koo, Sandeep Madireddy, Srinivasan Ramesh, Allen D. Malony, Robert B. Ross
2022 A conf
SERVIZ: A Shared In Situ Visualization Service.
SC
Srinivasan Ramesh, Hank Childs, Allen D. Malony
2022 B conf
The Ghost of Performance Reproducibility Past.
e-Science
Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony
2022 J jnl
The Ghost of Performance Reproducibility Past.
CoRR
Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony
2021 Misc conf
SYMBIOMON: A High-Performance, Composable Monitoring Service.
HiPC
Srinivasan Ramesh, Robert B. Ross, Matthieu Dorier, Allen D. Malony, Philip H. Carns, Kevin A. Huck
2021 A conf
SYMBIOSYS: A Methodology for Performance Analysis of Composable HPC Data Services.
IPDPS
Srinivasan Ramesh, Allen D. Malony, Philip H. Carns, Robert B. Ross, Matthieu Dorier, Jérome Soumagne, Shane Snyder
2019 B conf
A Plugin Architecture for the TAU Performance System.
ICPP
Allen D. Malony, Srinivasan Ramesh, Kevin A. Huck, Nicholas Chaimov, Sameer Shende
2019 — conf
Towards Runtime Analytics in a Parallel Performance System.
HPCS
Allen D. Malony, Srinivasan Ramesh, Kevin A. Huck, Chad Wood, Sameer Shende
2019 A conf
Understanding the Impact of Dynamic Power Capping on Application Progress.
IPDPS
Srinivasan Ramesh, Swann Perarnau, Sridutt Bhalachandra, Allen D. Malony, Peter H. Beckman
2018 J jnl
MPI performance engineering with the MPI tool interface: The integration of MVAPICH and TAU.
Parallel Comput.
Srinivasan Ramesh, Aurèle Mahéo, Sameer Shende, Allen D. Malony, Hari Subramoni, Amit Ruhela, Dhabaleswar K. Panda
2017 — conf
Deep and Shallow Convections in Atmosphere Models on Intel® Xeon Phi™ Coprocessor Systems.
HPCC/SmartCity/DSS
Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran
2017 J jnl
Deep and Shallow convections in Atmosphere Models on Intel Xeon Phi Coprocessor Systems.
CoRR
Srinivasan Ramesh, Sathish Vadhiyar, Ravi S. Nanjundiah, P. N. Vinayachandran
2017 — conf
MPI performance engineering with the MPI tool interface: the integration of MVAPICH and TAU.
EuroMPI/USA
Srinivasan Ramesh, Aurèle Mahéo, Sameer Shende, Allen D. Malony, Hari Subramoni, Dhabaleswar K. Panda